Gangs Essay Example | Topics and Well Written Essays - 750 words

Gangs - Essay Example Different Approaches and Responses to Gangs Due to the negative effects of the gangs to the community, it is a challenging feat to deal with them, thus, there are different approaches that are being applied to prevent and to resolve problems related to gangs. The approaches and responses of the community to the gangs are based on the different factors related to the personal, the family, the social and the legal aspects of the society. The individual and family approach is the primary way to resolve gang behavior since the individual person can be isolated. For that matter, programs targeting the education of the family members and the individual gang member are included in the main actions undertaken to resolve gang problems. But there challenge in resolving gang related problem is the fact that teenagers and adolescents are very susceptible to gang membership and other delinquent activities due to peer pressure and the presence of different gangs in the community and in school. Bas ed on the survey of national schools, 7.6% of male and 3.8% of female in the secondary school students are gang members with activities such as fighting, stealing or selling drugs. Not only can these activities endanger them, gang membership can also affect the school performance and safety of the teenagers (Egley, Mason and Miller, 2006, p.362; (Gatti et al., 2005). Other reasons for gang membership and delinquency that are needed to be taken into consideration are the effects of â€Å"poverty, unemployment, and decline of the family in American cities† (Egley, Mason and Miller, 2006, p.313). The family-based policies and programs are effective to prevent the delinquent behaviors through parent support and guidance as well as personality development. Another approach to the gangs and their activities is through community-based programs and social interventions. The programs applied in such level are considered immediate and short-term responses to violence and crisis of the members and the victims of the gangs. The neighborhood, schools and localities are included in the programs implemented in the community-based levels. Commonly, local government units and NGOs in the localities are the groups working to find solutions to the problems. Their goals are specific to the needs of the community which includes crisis intervention, treatment and emergency medical care for the children and their families, and the law enforcement activities (p.313). An example of the community-based organization is the Boston Gun Project. It started as an organization to counteract gang activities in Boston by â€Å"assembling interagency work group, applying quantitative and qualitative research methods for the study and assessment of the problem related to gangs, developing, implementing and evaluating interventions† (p.338). The community based programs and policies are effective for immediate results and for solutions that are specific to the needs of the particula r community. The legal aspect is one of the most important approaches to the problems of gangs. Due to the rise of the gang problems in the 1980s, there had been a wake up call in the legislative needs in terms of gang problems. The California Street Terrorism Enforcement and

Is Thai Airways going to bankruptcy Research Paper

Is Thai Airways going to bankruptcy - Research Paper Example uld take up shares with the business, beginning April 1, 1988, to be the major shareholder with an estimated 51.03% of the company’s shareholdings, while the remaining 48.97% is owned by investors in the domestic and foreign markets, also including the company’s employees (THAI, 2013). Through the years, the company has experienced various challenges, benefits, and implemented different strategies to remain competitive and profitable in a highly competitive international market (Shoffner, Shelly, & Cooke, 2011). There is speculation that Thai Airways may be going bankrupt, following several challenges in generation of revenue. Different scholars and publications have closely followed the progress of the company, often making speculations, and detailing the actions taken by various entities in an effort to prevent the company from going bankrupt. The impeding bankruptcy of the airline follows a number of decisions made by the company, with respect to the market forces. T he extent to which the investors are willing to get involved in the recovery efforts will determine the probability and possibility of the company failing. In this study, the aim is to conduct a comprehensive analysis of the company finances and situation to establish the basis of bankruptcy claims and probabilities. Thai Airways is an entity in the transportation industry, such that the ministry of transport manages the domestic, regional and international routes. The nature of the venture means that the products and services offered include air passenger, cargo and mail transport, warehouse, ground passage, ground equipment, and catering and maintenance services. Although the company is renowned for the air passenger services, the other services serve to support this core service. Under the service, the company has witnessed growth in the customers as well as fleet of airplanes, but challenges have resulted in premonitions on the company’s bankruptcy. Improvements to the services offered and

History Of Materials In The Aviation Industry Engineering Essay

History Of Materials In The Aviation Industry Engineering Essay Aircraft materials have faced an overwhelming phase of change since the takeoff of the first designed aircraft to the skies. This has seen aircraft designers changing the design materials from merely wood and fibre in the early days to composite materials and aluminium alloys in modern days aircrafts. Composite materials and aluminium alloys were introduced in the industry rapidly. Due to advancement in technology the use of wood in manufacturing aircraft structures is now history. This review covers the use of composite materials and aluminium alloys in the design of modern aircrafts, both civil and military. It also compares the usage of these two materials in aircraft structures. Table of Contents INTRODUCTION Aircraft materials have faced an overwhelming phase of change since the takeoff of the first designed aircraft to the skies. This has seen aircraft designers changing the materials of design from merely wood and fibre in the early days to composite materials and aluminium alloys in modern days aircrafts. Early aircrafts were constructed mainly of wood and fabric, the Wright flyer (1903) is an example. Manufacturers preferred relatively light and strong wood such as spruce and fabrics, which were normally linen or something similarly close-weaved. These materials were selected looking at different characteristics which include among other the weight, strength, cost and availability of the material. Due to advancement in technology the use of wood in manufacturing aircraft structures is now a thing of the past. The use of metals in aircraft structures had to await modern material development processes such as alloy development. This processes produced stronger and better materials which allowed high speed flight. Materials produced were better as they allowed heavy loads and they showed better resistance to stress corrosion cracking. The introduction of computers has been of massive input in the field of aerospace. These seen engineers perform deep analysis of strain; stress and fatigue on new materials before there are introduced in aircraft structures. And as a result, the number of aircraft accidents reduced drastically. This review aims to cover the use of composite materials and aluminium alloys in the design of both civil and military modern aircrafts, and compare the usage of the two materials in aircraft structures. COMPOSITE MATERIALS Composites have been the most important materials to have been introduced in the aviation sector since the use of aluminium in the early years. Wright et al (2003) defines composite materials as, a combination of linear elements of one material in a matrix of one another material. This implies that composites are engineered materials made from two or more ingredients with significantly differing properties, either physical or chemical. The application of composite date back in the 1940s to the F-15 (US Air Force) fighters, which used boron/epoxy empennages. Initially the percentage by weight of composite materials used was 2%.Since then, the use of composites has rapidly accelerated. In 1981, the British aerospace- McDonnell Douglas AV-8B Harrier flew with over 25% of its structures made of composite materials (Schmitt, 2008). This shows that composite materials were introduced at a very high rate in the aviation industry. Though composites have been introduced in aviation with such a fierce rate, it was proved they are expensive to produce. They are also hard to inspect for flaws and some easily absorb moisture. Despite the above mentioned disadvantages, composites still play a major role in modern day aircrafts. This is so because of their greater strength and lighter weights. Callus (2007) claims that regardless of the disadvantages of composites, they were introduced because they allowed a quantum leap in aircraft performance. Performance is in the form of light weight, ability, useful payload and super high speeds. USES OF COMPOSITES IN AIRCRAFT STRUCTURES Since each aircraft is unique, it is impossible to generalise where various materials are being used in current aircrafts, but reference to a specific example illustrates the trend. Figure 1 below shows composite materials used in Boeing 787. http://people.bath.ac.uk/ck258/new%20materials%20documents/Composite%20materials_files/image002.jpg Figure 1. Composite materials used in Boeing 787 structures. Adapted from: http://people.bath.ac.uk/ck258/new%20materials%20documents/Composite%20materials.htm The above figure clearly gives a clear indication of the introduction of composites in aircraft structures. It can be confidently stated that composites form about 50% of the weight of the materials used in modern day aircrafts. This can be seen from the pie chart in figure 1. The commonly used composites are fibreglass, carbon laminate composites and carbon sandwich composite. Some composites include the Titanium and polymer matrix composites. COMPOSITION OF COMPOSITES Composite materials are made of two materials, one acting as the matrix and the other as the reinforcement material. These constituent materials determine the mechanical properties of the composite. The matrix has a lower density, stiffness and strength than the reinforcement material, and as a result the reinforcement of the matrix, to provide the majority of the strength and stiffness of a composite is accomplished by the fibres. They can be metallic, organic, synthetic or mineral. American Composite Manufacturers Association (2004) considers epoxy resins as one of the well known matrix material to have been used in a wide range of composite parts and structures. It further states that a major advantage of using Epoxy resins over other matrix materials is their lower shrinkage. http://navyaviation.tpub.com/14018/img/14018_593_1.jpg Figure 2. Aircraft advanced composite application usage. Adapted from: http://navyaviation.tpub.com/14018/css/14018_593.htm The table shows that the in early aircrafts composites were introduced in smaller quantities. This is the case with the F-14 aircraft which was first introduced in September 1974 (Hickman, 2012). Comparing the percentage of composite materials of the F-14 with the F/A-18, which was introduced in January 1983, one can notice that the F/A-18 contained a higher percentage of composites which is 20% as compared to the 0.04% of the F-14. This 19.96% difference may have been due to the introduction of modern material development processes. The mostly used reinforcement fibres are: glass fibre, carbon pitch based, Boron chemical vapour deposition (CVD) fibres, Alumina, Aramid, Carbon Polyacrylonitrile (PAN) and Polyethylene. Baker, Dutton and Kelly (2004, pp. 57) claim glass fibres are used mostly in airframes of gliders and in secondary structures such as fairings. The trio further explain that this is the case because this is where their low specific stiffness is not a problem in the design process, and because of their low cost as compared to high performance fibres. Such high performance composites include carbon fibre reinforced carbon. This is a composite material made from carbon fibre reinforcement in a carbon matrix. Diagram of carbon-reinforced carbon Figure 3. Material properties of a carbon fibre reinforced carbon. Adapted from: http://www.materialsviews.com/understanding-carbon-reinforced-carbon According to Grolms (2011), carbon fibre reinforced carbon is used mainly in high performance and high cost applications in aerospace technology. He further explains that this composite material is used widely in nose cones, wing leading edges in space shuttles and in aircraft brake systems. ALUMINIUM ALLOYS Aluminium has been the main structural element since 1930. This was made possible by its lightness as compared to other metals which are referred to as heavy, steel for example. Also, aluminium has been selected because of its indomitable strength to weight ratio. Although aluminium is not the strongest of the pure materials, its alloys use other elements to bridge the gap and improve its strength. Starke and Staley (1995) claims that aluminium is still selected as a structural material for the fuselage, wings and supporting structure for commercial airliners because of its well known performance characteristics, known fabrication costs, design experience and established manufacturing methods and practices. The duo continue on saying low specific gravity of aluminium leads to high specific properties giving aluminium alloys an upper hand in weight critical applications. Weight and strength Figure 4. Weight and Strength- aluminium is approximately one third as dense as steel. Aluminium alloys have tensile strengths of between 70 and 700 MPa. Adapted from: http://www.powerofaluminium.com/page.asp?node=45sec=Properties . Aluminium alloys were mainly created to tackle the weight problems of aircraft structures, but due to modern research and studies they have been recently studied for use in liquid oxygen and hydrogen fuel tanks, application which Starke and Staley (1995,pp.167) referred to as cryogenic. The development of aluminium-lithium alloy replaced the conventional airframe alloys. Its lower density property was thought to reduce the weight and accelerate the performance of aircrafts. This development, lead to the introduction of commercial alloys 8090, 2090 and 2091 in the mid 1980s (Davis, 1993). Weldalite 049 and CP276 were introduced shortly thereafter. Davis (1993) further says that aluminium alloys have a superior fatigue crack propagation resistance as compared to other alloys. This is due to high levels of crack tip shielding, meandering crack path and the resultant roughness induced crack closure (Davis, 1993). ANALYSIS AND COMPARISON OF ALUMINIUM ALLOYS AND COMPOSITES USES IN AIRCRAFT STRUCTURES The future of aluminium alloys in the aerospace industry seems brighter than that of its competitors, the composite materials. Even though the use composite materials is continuously growing, it recently became clear that aluminium alloys will in the near future be the winners of the fierce competition between the two materials. The airbus A380 give a clear indication of this. It shows that 61% of its structure is composed of aluminium alloys, 22% being composites, 10% is titanium and steel, and 3% of the structure is made of fibre metal laminates (Key to Metal, 2012). http://ars.els-cdn.com/content/image/1-s2.0-S1359645403005020-gr10.jpg Figure 5: Material distribution for Airbus A380 by percentage, Adapted from: http://www.sciencedirect.com/science/article/pii/S1359645403005020 It appears the rivalry between composites materials and aluminium alloys in the manufacturing of aircraft structures will continue to exist even in the future. This report claims aluminium alloys have the upper hand due to the fact that aluminium is less expensive as compared to composites, and recycling aluminium is not that difficult as compared to recycling composites, meaning that aluminium alloys are more environmental friendly. To support this claim, Arval (2010) pointed out that Bombardier has chosen Airware, a new aluminium alloy, for its upcoming CSeries, and Airbus has also shown that new aluminium alloys may be feasible for its next aisle aircraft. CONCLUSION In this report, the use of composite materials in aircrafts has been thoroughly discussed, pointing out their advantages and their disadvantages. The report identifies the main disadvantage of using composites in aircrafts being its high cost. The other disadvantage of using composite mentioned is their repair problems. It has been proved that composite can give a headache when it comes to repairing from ground damages, which usually avail themselves during baggage loading and other ground accidents. Nevertheless, the report also states that composites are still playing a major role in the aviation industry. This is due to their remarkable strength and their lighter weight. Also outlined in the report is the use of aluminium alloys in modern day aircrafts. Indicated in the report is that, even though aluminium alloys are not currently the main material for aircraft structure, they are awaited by a bright future. New aluminium alloys have been opted over composites for new aircraft technologies because they are recyclable, less expensive, and their characteristics and damage tolerance are well known. The development of new aviation materials since the 1980s was a major achievement in the industry since the number of aviation accidents reduced significantly. Carrying out more research on new aviation materials can see aircraft accidents reducing to probably zero, and this is a call for researchers to concentrate more on new aviation materials.

The Stanley Cup and Online Communities :: Internet Web Essays

The Stanley Cup and Online Communities What I Know, Assume, or Imagine I will start off by giving a bit of background as to why I chose this particular topic. I consider myself an amateur in online communities, and in particular chat rooms. I have always considered chat rooms places people with no friends can go. I have plenty of friends, so I never really saw the need to chat. The few times I have gone into chat rooms, they are usually sport related. The problem I have found is that the conversation is usually on everything except sports. I still feel this way. The first part of my hypothesis is that chat rooms don't always stick to the subject. I am a huge hockey fan, and consider myself somewhat of an expert in certain areas. This is why I chose the Stanley Cup as my topic for my I-search. I think that combining something I feel I have good knowledge of with the Internet will help me weed out the facts from fiction. Here are some things I know about hockey. The Stanley Cup is the oldest trophy in North American Sports. It gets passed from team to team, unlike some other trophies. In the NHL, the players play for the Cup, not for the championship ring, or the championship itself. The winning team gets it's names on the Cup for all time and each player gets to spend a couple of days with the Cup over the summer. The hall of fame provides a "Cup Keeper" whose job is to stay with the cup at all times. Most hockey players in the US and Canada have dreamt of hoisting the Cup since they first put on skates. (Simon) As you can see, I am very passionate about the Cup, and could write my whole paper on its rich history, which began in the late 1800's. I am sure there are other people like me on the Internet, so my goal is to find them. I will try to use message boards as well as chat rooms. I plan to ask them about stories they have heard about when the players had the Cup. I imagine I will get better results on message boards, so I will concentrate more on these than the chat rooms. Another assumption I have is that certain teams will be more receptive to answering questions from me.

Cell phones Essay

First, cell phones are impersonal and rather anti-social. If a kid were using their phone to text during class all the time, they would not need to be as good at actually talking to others, which would degenerate social skills, which are very important in life for jobs, creating good family relationships, and making and keeping friends. It is not just about safety or reassurance. Yes, I want my kids to call each morning when they arrive at school and each afternoon when they leave, and there are so few pay phones anymore on which to do that. However, my children’s lives are also enriched by the freedom to travel to a variety of extracurricular activities or social engagements without an adult chaperone. That is only possible because an adult is just a phone call away. If children are not allowed to keep their cell phones during the school day—off and in their backpacks or lockers—the school system is governing my parenting and my children’s behavior during non-school time. The affecting school has no such right. Besides, teachers should be teaching, not spending precious time tagging and bagging confiscated electronics. Secondly, the mobile phones can be a distraction to the students if the school allows them to bring. For instance, during lesson time, it is known that students cannot use it when the teacher is teaching. Some students may just use it underneath their desks or behind their textbook and ultimately this will affect their grades. Lastly, bringing mobile phones to school will only increase the temptations of other students to steal the phones. As some students have the newest, latest phones like the ‘iPhone 4s’ and ‘Samsung Galaxy S2†², some bad students may keep a look out and might steal from them. Not only will the victim be disheartened, the thief will think that he or she will be able to get away from it every time. However, there are some reasons why mobile phones should not be banned in schools. For example, if there is a family emergency like the student’s grandma is in the hospital, or his or her house caught fire, their parents will be able to contact them. In addition, it would certainly be distracting for the teacher trying to talk over student’s who are talking when they are. One of the best ways to get in trouble during class is to talk when the teacher is talking, for it district’s the teacher, the student, and their classmate’s; if cell phone  were allowed in school, they would increase the amount of time students are talking when they don’t need to, making the class more difficult to teach, take longer, and be less educational. Cell phones could also provide a means of cheating on tests. Almost all cell phones have texting, and kids have become good at texting without being caught. It would be easy for kids to text each other the answer’s to test’s during testing session’s if everyone is allowed to use their phone during class. If teachers ask what students are doing, they can just say that they are texting their mom. These days, mobile phones are everywhere on the streets. Mobile phones are not what they used to be for only calling or texting. Now, there are games, music and camera functions available in a mobile phone. Hence, I agree that mobile phones should be banned in schools, as there are disadvantages of students bringing their phones to school. Firstly, bringing their mobile phones to school is troubling matter. As students might misplace their mobile phones in the school canteen or their classrooms and forget them. There may be dishonest students who will take the mobile phone and not report it to the discipline head. This is one of the reasons why mobile phones should be banned. In a society where almost everyone over the impressive age of thirteen carries a cell phone, pager, or both, many school systems have banned these items from school grounds. Why? Many say it is due to the powerful ‘potential problems’, such as texting during classes. Others say it is because they interrupt the learning environment. Whatever the reason the powerful school boards give, should cell phones really be banned from school premise? In a day and age where everyone relies heavily upon modern technology for communication, cell phones are a good thing to have, especially for high school students. Many students have after-school activities, such as a sport or a club that they participate in after school hours, when most people, including the office staff, have already gone home for the day. The students need a way to contact their parents during and after these activities, and vice versa. If cell phones were banned from school grounds, even just during school hours, how would the kids contact their parents afterwards? With only one or two phones in the spectacular office or on a coach, having thirty or more students per activity coming in to use the phone one after the affecting other is just ridiculous. It would take hours, something that would take minutes overall if the kids each had their own cell phone. The board, principals, and teachers alike are concerned that if cell phones are allowed in school, there will be problems with texting in class. The solution to this is to make a rule that says cell phones have to be off and put away during school hours. If a student is caught texting in class, have the teacher take up the phone for the spectacular day, or maybe even until the next day. This seems like a reasonable compromise, because that way the kids are still able to contact whomever they need to after school, but are free from distractions during the day. So that they can call and let their parent’s know to come pick them up after a sport is over. So if they are sick or they are not felling so well so that their parents could come and pick them up if they do not feel so good. Cell phones, while they might seem like nothing but a distraction and a safety hazard for school across the country, are in actuality quite the opposite. Banning cell phones from the school premises will only ever have detrimental effects. As long as there is a sensible rule in place, such as †Students are required to leave cell phones off and out of sight during school hours†, there is no chance of distraction’s or of safety hazards because of them. After all, there is probably more of a chance a kid will trip and fall than the chance of a cell phone being a distraction when it is turned off, is not there. However, cell phones can also be used for less important reason’s, such as excessive amounts of texting. One big issue concerning cell phones and teenagers is the use of cell phones in school. Many teenagers believe that cell phone’s should be allowed in school, during class. However, cell phones should not be allowed during school, because they would provide distractions for students and teachers, allow for cheating on tests, and for other social reasons. If a student’s cell phone rang during class, it would obviously distract him from the class and whatever the teacher is teaching. If this continued, it could prove detrimental to that student’s education. In conclusion, considering all the reasons, I strongly stand with that mobile phones should be banned as it is a distraction to the students and their phones might be stolen. Should there be an emergency, the parents can call up the school and the school can immediately inform the student. Thus, mobile phones should be banned in schools. It would be quite distracting for those student’s, and for their classmate’s. Cell phones also can cause social â€Å"problem’s†, which would only increase if cell phones were allowed in school.

Facebook vs. Twitter Essay

In the age of technology, trends come and go almost instantaneously. The trend of the decade; Social Media. Ten years ago when someone thought of Social Media, he or she only thought about Myspace. Today, however, Myspace is an afterthought, and there are two new faces atop the Social Media world. These new faces are Facebook and Twitter. They may seem very similar but they are extraordinarily different in their overall structure, their friend/follower format and their communication layout. Even though Facebook and Twitter are both set up to make it easier for people to communicate, they are structured much differently. Facebook, on one hand, gives the operator the total ability to customize his/her wall. From favorite foods to relationship status, Facebook truly has it all. One can write a vague description of his or her life in the â€Å"about me† section or a detailed autobiography instead. After that, if one wants to tell what he/she is doing, he/she can write a post with no limits. Facebook, without question, gives the user the ability to completely customize his/her page; whereas Twitter is set up in a much more basic format using a Twitter Feed. A twitter feed is basically a wall in the vaguest sense. The user can write a brief biography, which has a maximum amount of characters about oneself on the top of his/her page. Also one can â€Å"tweet† his/her thoughts, in limited characters as well, to depict what he/she is thinking. So Twitter is far les s user friendly than Facebook. In addition to the differences in structure, Facebook and Twitter also have different friend/follower formats. Essentially, Facebook and Twitter are set up differently in the way friends are made. Facebook is set up in such a way that one can find his or her friends and send a friend request, and if one’s friend accepts, the website lists that person in the user’s friends list. Once that person has friends, he or she can use a privacy setting where only the user’s friends can see his or her wall. In this way, Facebook lets users know what his/her friends are doing. On the other hand, Twitter is set up with the concept of followers. This means if one wants to add another user as a friend, all the user must do is click â€Å"follow†. Any user can follow another user which will allow him or her to see what that user is doing. Lastly, Facebook and Twitter have different communication setups. Both Facebook and Twitter allow  users to send direct messages to f riends, but both websites have different ways to communicate. Facebook allows users to post on another user’s wall to start a conversation. As well as using posts, one can also comment on a friend’s post. If a user is interested in one of his or her friend’s posts, the user can simply click the comment button to say what is on his/her mind. Twitter on the other hand, does not give its users as many ways to communicate. In addition to the already stated direct messaging Twitter only allows its users to tag their friends in a tweet to talk. If they do not want to direct message, they can publically message them. So in the communication aspect, Facebook definitely has the advantage. On the surface, Facebook and Twitter seem alike but they are definitively different. Facebook and Twitter each have different structures, friend/follower formats, and communication layouts. Facebook is much more user friendly allowing its users to fully customize their walls and statuses in an unlimited amount of characters, giving the user complete control of their wall. Also, Facebook is much more private in the ability to accept a friend request which gives that user to view one’s profile. Twitter on the other hand has a much simpler layout with very little privacy.

Profile of Sean Vincent Gillis

Profile of Sean Vincent Gillis Sean Vincent Gillis murdered and mutilated eight women between 1994 and 2003 in and around Baton Rouge, Louisiana. Dubbed as the Other Baton Rouge Killer his arrest came after the arrest of his rival, Baton Rouge Serial Killer, Derrick Todd Lee. Sean Gillis Childhood Years Sean Vincent Gillis was born on June 24, 1962, in Baton Rouge, LA to Norman and Yvonne Gillis. Struggling with alcoholism and mental illness, Norman Gillis left the family soon after Sean was born. Yvonne Gillis struggled to raise Sean alone while maintaining a full-time job at a local television station. His grandparents also took an active role in his life, often caring for him when Yvonne had to work. Gillis had all the characteristics of a normal child. It wasnt until his younger teen years that some of his peers and neighbors caught a glimpse of his darker side. Education and Catholic Values Education and religion were important to Yvonne and she managed to scrape together enough money to enroll Sean into parochial schools. But Sean did not have much interest in school and maintained only average grades. This did not bother Yvonne. She thought her son was brilliant. High School Years Gillis was an odd teenager which did not make him very popular at school, but he did have two best friends that he hung out with a lot. The group would usually hang around Gillis house. With Yvonne at work, ​they could talk freely about girls, Star Trek, listen to music and sometimes even smoke a little pot. Computers and Pornography After graduating from high school Gillis got a job at a convenience store. When not at work he spent much of his time on his computer looking at pornographic websites. Over time Gillis obsession to look at pornography online seemed to fester and affect his personality. He would skip work and other responsibilities in order to stay at home alone with his computer. Yvonne Moves Away In 1992 Yvonne decided to take a new job in Atlanta. She asked Gillis to come with her, but he did not want to go, so she agreed to continue to pay the mortgage on the house so that Gillis had a place to live. Gillis, now 30, was living alone for the first time in his life and he could do as he pleased because no one was watching. Howling But people were watching. His neighbors saw him late at night sometimes in his yard howling at the sky and cursing his mother for leaving. They caught him peeping into the window of a young woman who lived next door. They saw his friends coming and going and could sometimes smell the scent of marijuana from his house on hot summer nights. Many of Gillis neighbors quietly wished that he would move away. Simply put, he gave them the creeps. Love In 1994 Sean and Terri Lemoine met each other through a mutual friend. They had similar hobbies and bonded quickly. Terri found Sean to be an underachiever, but kind and considerate. She helped him get a job at the same convenience store where she worked. Terri loved Gillis  but did not like that he was a heavy drinker. She also was confused by his lack of interest in sex, a problem she eventually accepted and blamed on his addiction to pornography. What she didnt realize was that Gillis interest in porn was centered around sites that focused on rape, death, and dismemberment of women. She also did not know that in March of 1994, he acted out on his fantasies with his first of many victims, an 81-year-old woman named Ann Bryan. Ann Bryan On March 20, 1994, Ann Bryan, 81, was living at St. James Place which was an assisted-living facility located across the street from the convenience store where Gillis worked. As she often would do, Ann left the door to her apartment unlocked before retiring to bed so that she did not have to get up to let the nurse in the next morning. Gillis entered Anns apartment around 3 a.m. and stabbed her to death after his attempt to rape her failed. He slashed at her 47 times, almost decapitating and disemboweling the small elderly woman. He seemed fixated on stabbing at her face, genitals, and breasts. Ann Bryans murder shocked the Baton Rouge community. It would be another 10 years before her murderer was caught and five years before Gillis would attack again. But once he started back his list of victims grew quickly. Victims Terri and Gillis began living together in 1995 soon after he murdered Ann Bryan and for the next five years, the need to murder and butcher women seemed to go away. But then Gillis got bored and in January 1999 he once again started to stalk the streets of Baton Rouge looking for a victim. Over the next five years, he killed seven more women, mostly prostitutes, with the exception of Hardee Schmidt who came from an affluent area of the city and became his victim after he spotted her jogging in her neighborhood. Gillis victims included: Ann Bryan, aged 81, murdered March 21, 1994.Katherine Ann Hall, aged 29, murdered January 4, 1999.Hardee Schmidt, aged 52, murdered May 30, 1999.Joyce Williams, aged 36, murdered November 12, 1999.Lillian Robinson, aged 52, murdered in January 2000.Marilyn Nevils, aged 38, murdered in October 2000.Johnnie Mae Williams, aged 45, murdered in October 2003.Donna Bennett Johnston, aged 43, murdered February 26, 2004. The Baton Rouge Serial Killer During much of the time that Gillis was busy murdering, dismembering and cannibalizing Baton Rouge women, there was another serial killer that prowled the college community. The unsolved murders were beginning to pile up and as a result, a task force of investigators was organized. Derrick Todd Lee was apprehended on May 27, 2003, and dubbed the Baton Rouge Serial Killer, and the community breathed a sigh of relief. What many did not realize, however, was that Lee was just one of two or maybe three serial killers on the loose in south Louisiana. Arrest and Conviction The murder of Donna Bennett Johnston was what finally led police to the Sean Gillis door. Pictures of her murder scene revealed tire tracks near where her body was found. With the help of engineers at the Goodyear Tire Company, the police were able to identify the tire and had a list of everyone who bought it in Baton Rouge. They then set out to contact all of the people on the list in order to get a DNA sample. Sean Vincent Gillis was number 26 on the list. On April 29, 2004, Gillis was arrested for murder after his DNA sample matched the DNA found on hairs on two of his victims. It did not take long for Gillis to start confessing after he was in police custody. The detectives sat listening to Gillis proudly describe the grotesque details of each of the murders. At times he laughed and joked as he described how he had cut off the arm of one victim, consumed the flesh of another, raped the corpses of others and masturbated with the severed parts of his victims. After Gillis was arrested a search of his home turned up 45 digital images on his computer of the mutilated body of Donna Johnston. Prison Letters During the time that Gillis remained in jail awaiting his trial, he exchanged letters with Tammie Purpera, a friend of victim Donna Johnston. In the letters, he describes the murder of her friend and for the first time even showed a glimpse of remorse: She was so drunk it only took about a minute and a half to succumb to unconsciousness and then death. Honestly, her last words were I cant breathe. I still puzzle over the post-mortem dismemberment and cutting. There must be something deep in my subconscious that really needs that kind of macabre action. Purpera died of AIDS not long after receiving the letters. She did, however, have the opportunity before dying to give all of Gillis letters to the police. Sentencing Gillis was arrested and charged with the murders of Katherine Hall, Johnnie Mae Williams, and Donna Bennett Johnston. He stood trial for these crimes on July 21, 2008, and was found guilty and sentenced to life in prison. A year prior to that he pleaded guilty to second-degree murder and was convicted in the killing of 36-year-old Joyce Williams. To date, he has been charged and convicted of seven of the eight murders. Police are still trying to gather more evidence to charge him with the murder of Lillian Robinson.

1998 DBQ

1998 DBQ The perception that Federalists were loose constructionists and that Jeffersonian Republicans were very strict constructionists was very well founded, but not accurate 100% of the time. The presidency of Thomas Jefferson mainly supported the theory that the Jeffersonian Republicans were strict constructionists. James Madison's presidency supported that theory as well. Both presidents, however, made exceptions to their general policies when an issue was just too big to fit inside the tiny box of their shared school of thought.Jefferson proved himself a constructionist most of the time he was in office. In August of 1800, Jefferson's first year in office, he sent a letter to Gideon Granger (document A) stating his support for the constitution and its basic principles, and also stating that Federalists opposed those principles by their loose interpretation of the document. He implies that loose interpretation leads to change, and in this case, that will create a strong national governme nt that resembles a monarchy and doesn't adhere to the rights of states as guaranteed by the Constitution.Jefferson MonumentIn another letter, this time to Samuel Miller (document B) during his last year holding office, Jefferson reinforces the image of strict constructionism by stating that he intends to break the precedent established by his predecessors to better adhere to the Constitution's policy on separation of church and state. Jefferson's widely known philosophy that the National Bank should not be established because the Constitution didn't say that it could was another example of his strict constructionism (Blum). Blum also mentions that even in his first speech to Congress, Jefferson put the constraint on the ideas he presented them with that everything had to be done "within the limits of their Constitutional powers".Madison, also being a Democratic-Republican, supported the same principles as Jefferson. Speaking for President Madison, Daniel Webster (document...

Between Class Madness

This year I was really looking forward to a great time, but some of that happiness was gone within the first couple of days. Like all of the eighth graders, I have noticed that it is a lot harder to get to class on time, unlike last year when I could get to class and have a minute to talk before the bell rang. This year it’s a different story. The fact that no teacher gives us our homework until the bell rings is a big reason, because, they are so hung up in what they’re teaching that when the bell rings they say, â€Å"Oh ya, and for homework you have this worksheet.† So now the teacher has to hurriedly hand out the worksheet, and we have to write it down in our agendas. When that is done, we ask the teachers for a late pass, but most of the time they don’t give one to us. With that in mind, we scurry out into the hallway, knowing we will get a tardy unless we run. It is difficult to gather our books for the class, because, everyone in the class is busy on a worksheet or writing down vocabulary when the bell rings. This doesn’t sound like a big deal, but it is. After the bell, we have three minutes to get to our next class, but about one half of that time is taken up by a couple things: putting the worksheet we are working on into our binder, putting our pencil in our pencil case, then getting our book which is under our desks. When we finish that and get out of the classroom, there are only about two minutes left. In those next two minutes there is another problem, which brings me to my third point. The biggest reason that I have trouble getting to class is that there is a colossal mob of people in the hallway by the eighth grade lockers. Some of them are students trying to hurry to their next class on time, and some are teachers coming out of the teachers’ lounge. There are only about seven feet across the hallway to fit in sixty students. If you are in this mob, you know that it is like being stuck in traffic: you don’t move! It takes at least a minute to just get out of the huge jam. After that horrendous event, you look at the clock and notice that you have only five seconds to get to class, so you start to sprint down the hallway. You’re three feet from the door when Ms. Miller comes by and gives you a detention for running in the halls. After all that, you are late to class and you have a detention. I hope I am not the only person in the eighth grade that has noticed this ever growing, and wants to fix it. So the next time you are late to class becaus e of hallway jams, you can join me, and many others that think the same thing

Art and cinema Essay Example | Topics and Well Written Essays - 500 words

Art and cinema - Essay Example llock focuses on a more personal and fanciful aspect as it creates a somewhat fictional account of the early life and influences that helped to develop Pollock in the way that he did. A heavy focus upon his alcoholism and the level of psychological trauma he suffered as a tortured genius is specifically engaged. Although this might in fact be true, the effect that such a representation has is first and foremost engaged for dramatic effect. Finally, the third film, Who the Fuck is Jackson Pollock, is an adventure film told with on the backdrop of Pollock’s life and contribution to art. Although it should not be dismissed, this particular film cannot be viewed as authoritative as Pollock is only an â€Å"aside† to the actual intrigue and primary interest of â€Å"finding lost treasure† that pervades the film. By means of comparison and contrast to one of the clips that was viewed as compared to one of the films that was viewed for this section, the two that have been chosen are â€Å"F is for Fake† and â€Å"Who the Fuck is Jackson Pollock†. The first film focuses upon the fact that the world of art forgery is a developed industry; leveraging the â€Å"artistic† abilities of master forgers who are able to adequately mimic the techniques, colors, patterns, and approach that well-known and highly sought after experts were responsible for crafting. By mean of comparison, â€Å"Who the Fuck is Jackson Pollock† depicts a much more magical interpretation of artwork as something that only Pollock could have been responsible for. The differential between these two has to do with the fact that one assumes that Pollock must be the master painter of the artwork in question; whereas the other clip maintains the fact that even some of the most convincing pieces are in fact forgeries. Henri Cartier Besson’s â€Å"Images a la Sauvette† engages the reader with the understanding that art, whether photographic or within some other genre, must not specifically be engaged in the

Waste Essay Example | Topics and Well Written Essays - 250 words - 1

Waste - Essay Example 1). A complete elimination of waste from the waste stream however starts with responsibility of individual people who use the materials for packaging, the consumers of the packed goods and users of other commodities that turn into wastes. The users, instead of passing the waste disposal burden to the authorities, can more effectively eliminate these wastes from the waste stream. One of the most effective ways to eliminating wastes from the waste stream is by using materials that can easily be recycled. Manufacturers can for instance eliminate wastes by producing plastics, wrappers and other commodities that can easily be recycled. Similarly, individuals can facilitate elimination of wastes by recycling materials whenever possible. Another approach towards eliminating wastes from waste stream is the reuse of materials. This approach retains the materials usefulness, meaning that the materials will not become wastes and will not be taken to the waste cycle (Zbore, p. 1). Zbore, Tammy. (2011). ‘Making it go â€Å"away†- waste reduction strategies for cities.’ National League of Cities. Available from: http://citiesspeak.org/2011/04/19/making-it-go-%E2%80%9Caway%E2%80%9D-%E2%80%93-waste-reduction-strategies-for-cities/. [Accessed on 30 March

The importance of regulation in the financial markets Essay

The importance of regulation in the financial markets - Essay Example The regulatory policies safeguard the interest of the borrowers and investors. In addition, these policies remedy economic instability. (Ahearne, William & Francis, 330). The financial market regulation in the US focuses on prudence. The Financial institutions are regulated to ensure their reliability. Scholars argue that the regulations are aimed at providing a smooth credit cycle (Cetorelli, Nicola & Philip, 454). The financial market regulation dates back to the mid 19th century when the money supply solely relied on bank credits. The US Federal Reserve was established in 1907 as a lender of last resort. The paper will analyze the circumstances under which the financial market functions poorly. In addition, it will also discuss the importance of regulations in the financial market. The banking sector can perform better in a market system in which the demand and supply of credit are self-adjusting. Interest rates are determined by the interplay of demand and supply for money. In addition, they play a primary role in the resource allocation process within the economy. For as long as there is an economic freedom, the banking sector plays a positive role in enhancing the national output. Classical economists argue that the state interference with the market, inhibit economic growth. The state interferes with the market by imposing an interest rate ceiling, directed credit and selected credit control. Direct government intervention in the in the financial market can result in financial repression. It has severe effects on the saving and investment levels in the economy (Eichengreen, 360). Strict regulations in financial markets inhibit the functioning of the financial sector. The rules restrict entry into the financial market. A high capital requirement for establishing a financial firm makes it difficult for potential entrants. As a result, the already established financial institutions gain monopoly and charge high-interest rates for their

Public policy project Assignment Example | Topics and Well Written Essays - 2750 words

Public policy project - Assignment Example The reforms are; new benefits, protection and rights, rules for the Insurance Companies, the taxes, the tax breaks, spending, funding, creation of committees, education and among others. The idea Affordable Healthcare Act (ACA) came just a month after the inauguration of Obama (February 2009). During this time, the president addressed a joint assembly of the United States Congress, imploring the Congress that time was right for the overhauling of the health care. On September 9, Obama went yet another joint session of the Congress to outline the reform measures in regard to the Act. The version of the health care bill was passed on November 7 by the House of the Representative by a slim margin of 220-2015. Later on the Senate proceeded with its debate on the health care that was projected to be passed before the Christmas. Though it went through many hurdles, on December 24, all the Democrats united and the Senate passed its version of the legislation. On March 23, 2010 President Obama signed the Act. The Supreme Court on June 28, 2012 rendered the final decision to uphold the health care law. According to the Congressional Budget Office (CBO), the Affordable HealthCare Act’s coverage expansion is approximated to cost $1.363 billion for the periods 2014-2023 in the mandatory expenditures (Gruber, 2011). The ACA and its companion reconciliation legislation contains a number of the provisions that are designed to raise the revenue to offset the cost of the health reform law. Apart from the individual mandatory tax/penalty, the ACA is partly funded by the increased taxes on the other non-health and health related items and services. Additionally, there are numerous new increased taxes and the fees that are meant to fund the Act. Some of the sources for the Act include; 0.9% increase in the Medicare Tax Rate, 3.8% new tax on the unearned income of the

Case INCIDENT COMMAND SYSTEM Essay Example | Topics and Well Written Essays - 750 words

Case INCIDENT COMMAND SYSTEM - Essay Example This is an investigative report on the effectiveness of community’s emergency management plan in reducing property loss. This paper is organized as follows. The first part will comprise a short investigative plan. The second part will look at the reasons why there was no implementation of a flood mitigation program. It will be concluded by an overview of the general principles governing the formulation and implementation of mitigation measures. â€Å"A more general definition that incorporates dynamic considerations is the To investigate and verify the emergency response to flooding incident and the consequential damage; To investigate the effectiveness of the emergency response and the sequence of events and actions taken during the flooding incident. During Superstorm Sandy, 70 % of the property in the flood prone area of Moonachie city was damaged. The aim of this section is to highlight the failures that led to the failure of the implementation of a flood mitigation program five years after the last flood. The residents of the city failed to hold the office of the mayor to account which contributed to laxity in the implementation of an effective policy of the flood mitigation program (Healy & Malhorta, 2009). Implementation of the flood mitigation program was hampered because there was no federal, state or city office or official that was willing to take responsibility of implementation (O’Sullivan et al, 2012). The voters of Moonachie city have never taken the political elite to task on disaster preparedness. Even when electing their leaders other issues take pre-eminence at the expense of disaster preparedness, this has led to little or no spending on disaster preparedness (Healey & Malhorta, 2009). The responsibility for disaster management cannot be the responsibility of the Federal government alone. As a result local leadership failed to take up its responsibility to steer the disaster preparation which affected their

The importance of regulation in the financial markets Essay

The importance of regulation in the financial markets - Essay Example The regulatory policies safeguard the interest of the borrowers and investors. In addition, these policies remedy economic instability. (Ahearne, William & Francis, 330). The financial market regulation in the US focuses on prudence. The Financial institutions are regulated to ensure their reliability. Scholars argue that the regulations are aimed at providing a smooth credit cycle (Cetorelli, Nicola & Philip, 454). The financial market regulation dates back to the mid 19th century when the money supply solely relied on bank credits. The US Federal Reserve was established in 1907 as a lender of last resort. The paper will analyze the circumstances under which the financial market functions poorly. In addition, it will also discuss the importance of regulations in the financial market. The banking sector can perform better in a market system in which the demand and supply of credit are self-adjusting. Interest rates are determined by the interplay of demand and supply for money. In addition, they play a primary role in the resource allocation process within the economy. For as long as there is an economic freedom, the banking sector plays a positive role in enhancing the national output. Classical economists argue that the state interference with the market, inhibit economic growth. The state interferes with the market by imposing an interest rate ceiling, directed credit and selected credit control. Direct government intervention in the in the financial market can result in financial repression. It has severe effects on the saving and investment levels in the economy (Eichengreen, 360). Strict regulations in financial markets inhibit the functioning of the financial sector. The rules restrict entry into the financial market. A high capital requirement for establishing a financial firm makes it difficult for potential entrants. As a result, the already established financial institutions gain monopoly and charge high-interest rates for their

Case INCIDENT COMMAND SYSTEM Essay Example | Topics and Well Written Essays - 750 words

Case INCIDENT COMMAND SYSTEM - Essay Example This is an investigative report on the effectiveness of community’s emergency management plan in reducing property loss. This paper is organized as follows. The first part will comprise a short investigative plan. The second part will look at the reasons why there was no implementation of a flood mitigation program. It will be concluded by an overview of the general principles governing the formulation and implementation of mitigation measures. â€Å"A more general definition that incorporates dynamic considerations is the To investigate and verify the emergency response to flooding incident and the consequential damage; To investigate the effectiveness of the emergency response and the sequence of events and actions taken during the flooding incident. During Superstorm Sandy, 70 % of the property in the flood prone area of Moonachie city was damaged. The aim of this section is to highlight the failures that led to the failure of the implementation of a flood mitigation program five years after the last flood. The residents of the city failed to hold the office of the mayor to account which contributed to laxity in the implementation of an effective policy of the flood mitigation program (Healy & Malhorta, 2009). Implementation of the flood mitigation program was hampered because there was no federal, state or city office or official that was willing to take responsibility of implementation (O’Sullivan et al, 2012). The voters of Moonachie city have never taken the political elite to task on disaster preparedness. Even when electing their leaders other issues take pre-eminence at the expense of disaster preparedness, this has led to little or no spending on disaster preparedness (Healey & Malhorta, 2009). The responsibility for disaster management cannot be the responsibility of the Federal government alone. As a result local leadership failed to take up its responsibility to steer the disaster preparation which affected their

History of Djing Essay Example for Free

History of Djing Essay How to DJ History of DJing: DJing began with the invention of the phonograph in 1857. It allowed people to create and record sounds on the device to let others listen to. In 1906, Reginald Fessenden played the first music record over the air. Then shortly after, came the disk jockey. As music became more popular, night clubs began to spring up creating a social environment around the uprising. Then came the implementation of music in school dances and other small venues, however, the quality of the equipment meant that the sound quality was often unbearable and distorted. As equipment began to get better, the rise of the modern DJ began. (Dave) In general terms, a DJs job is to play a series of records or music in front of an audience for their enjoyment. However, a club DJ is one who approaches the music in a much more creative way by carefully hand picking certain tracks to create a seamless, flowing mix, otherwise known as a set. Every DJ has his or her own technique that they apply when mixing. (Nelo) To be a DJ, one must be a true performer and have the ability to feel the crowd. The DJ should be able to feel the music and have the necessary skills to blend tracks together. Armin van Buuren is perhaps the most famous DJ worldwide. In his early years, his DJ career did not work out so he set out to get a traditional degree. In his last years of school, his productions took off. After creating chart topping remixes, he wanted to try being a DJ. He has used his talent to create the phenomenon known as A State of Trance which is at its 500th episode. He has DJed at the biggest venues in the world and has had countless sell out raves. Armin van Buuren is just one of the many DJs in the world who have taken the art to the masses. How to DJ: For my first DJ set, I chose to do a multiple genre mix, the hardest type of mixing. To create a set, you need a pair of turntables and a mixer. To use effects and to be able to create a more creative mix, you need software such as Traktor or Serato on your computer. I am going to use the Traktor S4 (Figure 1) which is a top of the line DJ controller. First, I chose a track list that I felt would create a good vibe in a club or party environment. The genres range from Pop, RnB, to Drum and Bass. I started the mix using a custom intro blended with a remix of a Katy Perry song. Then, I blended in the next track by beat matching the two tracks and adding a swoosh sound while transitioning to the next track making sure to keep the flow the same. (Figure 2) I then brought in a beat that slowly raised the bass creating a hard beat. Nearing the end of the track, I transitioned into a remix of a classic club song that everyone would know how to dance to making sure that everyone in the crowd would enjoy the music. After the classic, I transitioned into a portion of Satisfaction by Benny Benassi that had an electro vibe that would allow me to seamlessly transition into another dance classic that had a vastly different beat, keeping the flow going. After Bonkers by Dizzy Rascal, I transitioned to a intermission drum and bass beat, building the beat for the future track. This track would be used to pump up the crowd and get them ready to dance to the high paced final track. For the final track, I chose a drum and bass remix of a UK chart topper, Pass Out by Tinie Tempah remixed by Netsky. (Figure 3) Nearing the end of the set, I made sure to end the song by slowly dropping the bass levels, then trebles, and finally the mids. This allowed me to slowly fade out the track without creating a messy set. To create the set, it took four hours.

Candida Magnoliae Glycerol Yield

Candida Magnoliae Glycerol Yield Abstract Candida magnoliae, isolated from honey comb and Candida glycerinogenes, isolated from natural environment were compared for their potential to produce glycerol from glucose. The highest yield of glycerol was 55% for C. magnoliae and 64.5% for C. glycerinogenes. C. glycerinogenes yields 9% of higher concentration of glycerol than C. magnoliae. For C. magnoliae the optimum conditions were a temperature of 30 °C and a pH of 5. The optimum conditions for C. glycerinogenes were a temperature of 32 °C  and a pH of about 5. The required medium composition for glycerol production was 160 g/L of glucose, 3 g/L of yeast extract, 5 g/L of peptone for C. magnoliae and 230 g/L of glucose, 5 ml/L of corn step liquor, 5-6 g/L of phosphate for C. glycerinogenes. Introduction Glycerol, a simple alcohol which contains three hydroxyl group. Glycerol is also known as glycerine or 1,2,3-Propanetriol. Glycerol has many uses in pharmaceutical, food, paint, cosmetic industries. Glycerol can be used additional fuel in boilers due to its high calorific value. The physiochemical properties and chemical composition of glycerol varies from other fuels. Glycerol is a odourless, colourless, viscous liquid with sweet taste. Glycerol contains three hydrophilic hydroxyl groups which is responsible for its solubility in water. Glycerol has a melting point of 17.9 oC and boiling point of 290 oC. Molecular formula of glycerol is CH2OH-CHOH-CH2OH. Glycerol can be transformed to various value added chemicals such as dihydroxyacetone, succinic acid, citric acid, ethanol, hydrogen etc., Until now the fermentative metabolism of glycerol was being reported in species of bacteria like Citrobacter sp, Enterobacter sp, Lactobacillus sp, Propionibacterium sp, Clostridium and many fungi species. Glycerol has become an abundant carbon source and inexpensive. Glycerol is also produced by yeast fermentation process. Glycerol is obtained as a byproduct during the fermentation of sugar to ethanol using Saccharomyces cerevisiae. Increased glycerol production from monosaccharides can be obtained using yeast fermentation. The production of glycerol in the laboratory is possible by yeast Candida magnoliae and osmotolerant yeast Candida glycerinogenes. Using genetic information, there are new possibilities in the field of fermentation and metabolic engineering. The Overexpression or blocking of genes could potentially can increase yield or productivity. Triose phosphate isomerase is an important enzyme in glycolytic pathway that directs dihydroxyacetone phosphate to glyceraldehyde 3-phosphate. When this triose phosphate isomerase gene was deleted, the mutant is able to achieve higher yield of glycerol. Overexpression of GPD1 gene in yeast increases glycerol production simultaneously increases the accumulation of byproducts such as succinate, acetate, pyruvate etc., This work briefs about the comparison of glycerol production in Candida magnoliae and Candida glycerinogenes. For the design of fermentation process, culture media optimization is an essential step. Many parameters such as phosphate, sulfate, temperature and pH have been found to affect the productivity of glycerol by these microorganisms. Hence these were optimized in prior to other parameters. Materials and Methods Organisms and Media All fermentation procedures were carried out with both C. magnoliae and C. glycerinogenes. C. magnoliae cells were propagated in medium containing 3 g/L of yeast extract, 160 g/L of glucose, 3 g/L of malt extract, 5 g/L of peptone. C. glycerinogenes cells were propagated in medium containing 150 g/L of glucose, 2 g/L of urea and 7 ml/L of corn steep liquor. YEP medium is required to grow C. glycerinogenes and YM medium is required to grow C. magnoliae. The cells were grown until the density reaches 0.2 OD. Fermentation process Fermentations were carried out in 250 ml shake flasks with a working volume of 50 ml. To the working medium 5% (v/v) of C. glycerinogenes and C. magnoliae were inoculated in different flasks. Flask for C. glycerinogenes was incubated at 31 oC and flask for C. magnoliae was incubated at 30 oC for 48 hours. Magnetically stirred 3-l fermentor was used for fermentation with working volume of 1-l. The medium was agitated at 500 rpm and aerated at 2.0 l/min. Analytical methods Glucose concentration was determined using glucose analyzer and glycerol concentration was monitored and confirmed with HPLC using an Aminex HPX 87H column with differential refractive index detector. Other compounds like ethanol, organic acid were analyzed using gas chromatography. Results Candida magnoliae was isolated from honey comb. C. magnoliae can utilize glucose as a carbon source for growth. It strongly ferments glucose to glycerol. This yeast is able to grow in YM medium containing glucose, yeast extract, malt extract and peptone. C. glycerinogenes was isolated from natural environment of high osmotic pressure. Glucose can be used as carbon source by this organism for glycerol production. Optimization Effect of Glucose concentration on glycerol production The effect of different concentration of glucose and glycerol production by C. magnoliae and C. glycerinogenes was determined in 250 ml flask containing 50 ml of medium. For C. magnoliae, concentration of glycerol yield increases when the concentration of glucose was increased from 100 g/l to 200 g/l and for C. glycerinogenes, concentration of glycerol increases when the concentration of glucose ranges between 150 g/L to 250 g/L . Further increase in the concentration of glucose causes a remarkable decrease in the yield. The optimum concentration of glucose for the growth using C. magnoliae was found to be 160 g/L and for C. glycerinogenes, glucose concentration was found to be 230 g/L. Table 1 Effect of different concentration of sulfate on glycerol productivity Glucose (g/L) Glycerol for C. magnoliae (g/L) Glycerol for C. glycerinogenes (g/L) 0 40.9 99.8 100 45.3 104.1 130 49.1 110.3 160 52.6 116.7 190 45.0 120.9 210 41.2 123.2 240 38.5 117.4 270 34.6 106.8 Fig. 1 Effect of initial concentration of glucose in the medium on the production of glycerol by C.magnoliae and C. glycerinogenes based on the amount of glucose consumed. Effect of Phosphate concentration on glycerol production It was found that phosphate is also an important factor in determining the glycerol productivity. A concentration of phosphate between 0 and 2 g/l increases the glycerol yield. Beyond 2 g/l of phosphate the yield of glycerol decreases gradually for C. magnoliae simultaneously the glycerol concentration for C. glycerinogenes decreases beyond 6 g/l of phosphate. Table 2 Effect of different concentration of phosphate on glycerol productivity Phosphate (g/L) Glycerol for C. magnoliae (g/L) Glycerol for C. glycerinogenes (g/L) 0 45.8 76.2 2 46.2 84.1 4 43.8 119.6 6 39.5 123.3 8 37.9 81.3 10 30.3 47.2 Fig. 2 Effect of initial concentration of phosphate on the production of glycerol in the medium by C.magnoliae and C. glycerinogenes based on the amount of consumed glucose. Effect of Temperature on glycerol production Using shake-flask culture, the optimum temperature was determined for glycerol production. The concentration of glycerol varies with temperature from 26 oC to 34 oC. The yield of glycerol increases till 30 oC for C.magnoliae and beyond this temperature the yield decreases. Similarly for C.glycerinogenes concentration of glycerol decreases beyond 32 oC. Table 3 Effect of temperature on glycerol productivity Temperature (oC) Glycerol for C. magnoliae (g/L) Glycerol for C. glycerinogenes (g/L) 26 68.6 79.6 28 73.2 101.1 30 77.3 114.2 32 74.1 130.4 34 70.5 125.7 Fig. 3 The temperature significantly affected the production of glycerol by à ¢-  C.magnoliae and à ¢-   C.glycerinogenes based on the amount of glucose consumed. Effect of pH on glycerol production Batch experiments were done to determine the effect of pH on glycerol production from C.magnoliae and C.glycerinogenes. At acidic pH the yield was found to be low. Between the pH 4 and 6, the production of glycerol was not significantly affected. At pH 5 there was a significant increase in the growth rate and glycerol production. Finally the optimum pH was found to be 5 for both the organisms. Table 4 Effect of pH on glycerol productivity pH Glycerol for C. magnoliae (g/L) Glycerol for C. glycerinogenes (g/L) 3.0 113.4 3.5 4.0 60.3 120.2 4.5 75.9 5.0 80.1 134.7 5.5 76.0 6.0 66.2 127.1 6.5 7.0 103.5 Fig. 4 Effect of initial pH of medium on production of glycerol by à ¢-  C. magnoliae and à ¢-   C. glycerinogenes based on the amount of glucose consumed. Discussion Glycerol yield by microbial fermentation of glucose using S. cerevisiae is less than 50%(w/w). But newly discovered C. magnoliae and osmotolerent yeast C. glycerinogenes produced glycerol in higher concentration compared with S. cerevisiae. 64.5% of glycerol obtained from C. glycerinogenes and C. magnoliae yields 55% of glycerol after recovery. Therefore C. glycerinogenes gives 9% more yield when compared to C. magnoliae. Increase in glycerol by C. glycerinogenes is due to overexpression of GPD1 gene. Also glycerol concentration increases in C. magnoliae when GPD1 gene overexpressed. But it also accumulated higher amount of byproducts such as acetate, succinate, pyruvate and acetoin. Many parameters such as temperature, pH, phosphate and glucose were found to affect the glycerol productivity by C. magnoliae and C. glycerinogenes. The optimum concentration of glucose for C. magnoliae was found to be 160 g/L and for C. glycerinogenes it was found to be 230 g/L, beyond these concentration range the yield of glycerol decreases. 2 g/L of phosphate was estimated as optimum concentration for glycerol production by C. magnoliae and similarly for C. glycerinogenes, maximum glycerol was obtained at 6 g/L of phosphate. 28 oC – 32 oC of temperature favors the good growth of cells and better glycerol production. Thus the optimum temperatures was declared to be 30 oC for C. magnoliae and 32 oC for C. glycerinogenes. Finding different species other than S. cerevisiae will give new knowledge, beyond physiological effect of glycerol production.

Review of Platos The Allegory of the Cave :: World Literature

In Plato's "The Allegory of the Cave," Socrates tells an allegory of the hardship of understanding reality. Socrates compares a prisoner of an underground cave who is exploring a new world he never knew of to people who are trying to find a place of wisdom in reality. According to Socrates, most people tend to rely on their senses too much and believe the world as it is appeared to our sight. In order to free our souls from this mental prison, Socrates suggests that we should go through a phase that does not only prepare ourselves for the real world but also prevent us from heading to the wrong direction to seek the truth - education. In conclusion, Socrates believes those who have reached a higher level of knowledge and wisdom should bear a responsibility to lead the community and improve it because they are blessed with better education and are able to enjoy a different reward than the power to control others like most politicians do. Two thousand years after Plato has written down the allegory, it is amazing how we can still relate it to our everyday lives. As Plato wrote in "The Allegory of the Cave," education is a very important phase that leads us to wisdom and helps us to get accustomed to the real world with less difficulty. Apparently, this theory has proven to be correct for the past two thousand years. Until today, those of higher wisdoms are mostly people who have mastered a thorough and solid education; and they certainly have become the leaders of the community who share their knowledge and enlighten many people. We can also find Plato's theory on rulers of countries relevant to the world today.

Business Challenges :: essays research papers

  Ã‚  Ã‚  Ã‚  Ã‚  Becoming a CEO of a company whether it’s big or small, is a huge task to take on, but can be the most rewarding depending on how your company does. Either way when going into such a job, in which you are so powerful, you have to think of each and every challenge that you come across within your job. Challenges that your company will face can vary in many different ways, from environmental issues, to social issues, economic issues, as well as many more   Ã‚  Ã‚  Ã‚  Ã‚  For my company, Staples, I have worked in the store since I was 15, going through quite a few managers. Luckily I got to meet people very high in the corporation, such as the president and vice president of the company, and I could see how stressful their jobs have been. As being the CEO of Staples there are many problems that can come into effect. First thing that comes to mind is competition. Our competitors Office Max, and Office Depot are our biggest threat in the office supply business. Our company holds about 1100 stores, while they have about 700 each, and each day they take away business from us. We have to fluctuate our prices with what’s popular for that time of season, such as pens, notebooks and computers for back-to-school, and make sure our prices are more convenient for the customer.   Ã‚  Ã‚  Ã‚  Ã‚  The second dilemma that comes to mind is geography. Considering we have over 1000 locations, we have to figure out where the appropriate places for a new store would be. For instance if we only have 2 stores in Maine, we can’t put them together, yet we need to put them in a somewhat populated place, that would be most convenient for the business customer. For us, globalization is not a very big problem considering that we only have one store in France, one in Germany, and two in Puerto Rico.   Ã‚  Ã‚  Ã‚  Ã‚  As for a third challenge is technology. Everything is becoming on-line, and on the Internet. Some people can’t go out to the store everyday do but something they need, and each store can’t carry every product. So as a CEO the best solution is to put them online so people can shop at home, and have the products shipped to their doorstep. Also by having staples.com available in store, if the store itself is out of a product, just order it.

Trends in Indian Rainfall

National Climate Centre Research Report No: 2/2006 Trends in the rainfall pattern over India P. Guhathakurta and M. Rajeevan National Climate Centre India Meteorological Department PUNE. INDIA 411005 [email  protected] gov. in Abstract Monthly, seasonal and annual rainfall time series of 36 meteorological sub-divisions of India were constructed using a fixed but a large network of about 1476 rain-gauge stations. These rainfall series are thus temporally as well as spatially homogenous. Trend analysis was carried out to examine the long-term trends in rainfall over different sub divisions.Also monthly contributions of each of the monsoon months to annual rainfall in each year were computed and the trend analysis was performed. It has been found that the contribution of June, July and September rainfall to annual rainfall is decreasing for few sub-divisions while contribution of August rainfall is increasing in few other subdivisions. 1 1. Introduction In the context of climate chang e, it is pertinent to ascertain whether the characteristics of Indian summer monsoon also is changing.The Indian summer monsoon (June to September) rainfall is very crucial for the economic development, disaster management, hydrological planning for the country. Earlier, Mooley and Parthasarathy (1984), Parthasarathy et al. (1993), Parthasarathy et al. (1994), constructed all India rainfall series based on 306 uniformly distributed stations. They have also used area weighted method to calculate all India rainfall using rainfall data of the 306 districts outside the hilly regions like Jammu and Kashmir, Himachal Pradesh, Hills of west Uttar Pradesh, Sikkim and Arunachal Pradesh, Bay Islands and Arabian Sea Island.Presently this time series is updated by the Indian Institute of Tropical Meteorology, Pune (www. tropmet. res. in) and this rainfall time series was extensively used by many researchers. At present there are more than 500 districts in the country. Using only 306 raingauge s tations, it may not be possible to represent all the districts and prepare district-wise rainfall climatology. All the districts are having geographical area more than 100 square km (except Andaman and Nicobar Islands). Only one station in the district may not produce reliable district rainfall climatology as rainfall is highly variable (WMO, 1983).Spatial homogeneity cannot be achieved with one or two stations in a district. Long term trends of Indian monsoon rainfall for the country as a whole as well as for smaller regions have been studied by several researchers. Most of the studies are based on the rainfall series constructed by Parthasarathy et al. (1994). They have found that the monsoon rainfall is without any trend and mainly random in nature over a long period of time, particularly on the all India time scale (Mooley and Parthasarathy, 1984). But on the spatial scale, existence of trends was noticed by Parthasarathy (1984) and Rupa Kumar et al. (1992).Parthasarathy (1984) found that the monsoon rainfall for the two subdivisions viz. sub-Himalayan West Bengal & Sikkim and the Bihar Plains are having decreasing trends while for the four sub- 2 divisions viz. Punjab, Konkan & Goa, West Madhya Pradesh and Telangana are having increasing trends. Using the network of 306 stations and for the period 18711984, Rupa Kumar et al. (1992) identified the areas having decreasing and increasing trends of monsoon rainfall. The past performances of the monsoon rainfall may give an indication of the future scenario. But in order to do so we should also understand the climatology in a better way.The construction of a homogeneous rainfall data series (spatially as well as temporally) was the first step in this study. India Meteorological Department (IMD) has a good network of rain gauge stations. From the vast data set archived at the National Data Centre, IMD, Pune, a network of 1476 rain-gauge stations was selected which have only 10% or less missing years of data. To construct a homogeneous data series for the complete data period of 1901-2003 missing period of the observatory data are replaced by the neighboring state rain-gauge data and vice versa. Fig. (a) shows the plot of the 1476 stations used for the study while Fig. 1 (b) show the plot of 306 stations used by the Indian Institute of Tropical Meteorology for construction of homogeneous rainfall data (Parthasarathy 1984). Clearly, the network considered in this study is more uniformly spaced and temporally homogeneous, which can be used for analyzing the spatial and temporal variability in a better way. 2. Construction of homogeneous data series To prepare a homogenous rainfall time series, we have selected 1476 rain- gauge stations having maximum data availability during the period 1901-2003.Data for these stations are available for at least 90% of the years considered for this study (1901-2003). However, if some data was found missing for a particular station, the data gap was filled up by the rainfall data of a neighboring rain-gauge station. We have considered 458 districts for the present analysis. Each of these 458 districts of the country has two or more representing stations. First of all, the district rainfall is calculated as the arithmetic average of rainfall data of stations in the district. Thus, the rainfall data series was constructed as spatially and temporally homogeneous. Rainfall for the meteorological subdivisions (36) was calculated as the area weighted rainfall of the districts within the meteorological sub divisions. 3. Rainfall Over the country as a whole All India monthly, seasonal and annual rainfall series were constructed based on the area weighted rainfall of all the 36 meteorological subdivisions of the country. The results are given in Table 1. The mean, standard deviation and coefficient of variation are also given in the same Table. Mean (1901-2003) rainfall of July is 286. 5 mm, which is the highest and contributes 24. % of annual r ainfall (1182. 8 mm). The August rainfall is slightly lower and it contributes 21. 2% of annual rainfall. June and September rainfall are almost similar and they contributes 13. 8 % and 14. 2 % of annual rainfall respectively. The mean south-west monsoon rainfall (877. 2 mm) contributes 74. 2 % of annual rainfall (1182. 8 mm). Contribution of pre-monsoon rainfall and post-monsoon rainfall in annual rainfall is mostly the same (11%). Coefficient of variation is higher during the months of November, December, January and February. Fig. shows the comparison of the IITM southwest monsoon season (June-September) rainfall series with the rainfall series constructed in this study. The correlation coefficient between these two series is found to be very large, 0. 97. The mean seasonal rainfall of IITM series is 844. 5 mm whereas the men value of this time series is 877. 2 mm. The high mean value of the present series is because of the consideration all the 36 meteorological subdivisions, in cluding hilly regions. The standard deviation and coefficient of variability for the IITM series are 81. mm and 9. 6% and the same for the present time series are 71. 0 mm, 8. 1% respectively. Coefficient of variation of the present time series is smaller compared to IITM time series. 4. Epochal patterns of Indian summer monsoon rainfall It is well known that Indian summer monsoon rainfall displays multi-decadal variations in which there is a clustering of wet or dry anomalies (Pant and Kumar, 1997). To examine the epochs of above and below normal rainfall, 31-year running means of Indian summer monsoon rainfall (ISMR) was calculated to isolate low 4 requency behavior. These epochs of above and below normal rainfall are shown in Figure 4. Rainfall was above normal for nearly forty years from 1930s to 1960s. To understand the epochal behavior of rainfall series for different monsoon months, we have also calculated 31-year running means of each of the monsoon months (Figure 5). It is seen that epochal behavior of July and September rainfall is almost similar to that of monsoon seasonal rainfall. In August, the above normal or positive phases started from the middle of 1950s and continued till to the end.Both June and August rainfall are in positive phase in the recent decades while July and September rainfall are in the negative phase. Fig. 6 shows the decadal means of all India summer monsoon rainfall anomalies. The alternating sequence of multi-decadal periods having frequent droughts and flood years are clearly noticed in Fig. 6. We can delineate (i) 1901-1930 dry period (ii) 1931-60 wet period (iii) 1961-90 Dry period (iv) 1991-2020 (possibly) Wet period. Earlier studies by Pant and Kumar(1997) using the data series of Parthasarathy et al. 1994) also found the similar results of 30 years of alternating sequences of dry and wet period. The Table 2 shows the decadal mean, frequencies of drought and flood years. The deficient or excess monsoon years are defined for those years where monsoon rainfall percentage departures from the mean rainfall are less or more than the standard deviation (8. 1% of mean). In the decade 1911-20, there were four deficient and three excess years. During the dry period of 1901-30, we had eight deficient years and three excess years. During the next three decades of wet period, we had three deficient years and five excess years.In the dry period of 1961-90, there were seven deficient years and four excess years. Also during the period of 1901-2003, number of deficient years (19) is more than the number of excess years (13). Fig. 7 shows a similar picture for each of the four monsoon months. Except for the decade 1921-30, behavior of July rainfall was almost similar to that of monsoon seasonal rainfall. During the decade 1921-30, in spite of high contribution from July, seasonal rainfall became negative because of high negative contribution of June and August rainfall. Decadal variability is more in June where a lternating equence of wet and dry periods are seen on almost every decade. Coefficient of variability of July (12. 3%) and August (12. 0%) rainfall are also less compared to June (18. 1%) and September (19. 1%) rainfall. 5 5. Trends in All India monsoon rainfall Fig. 8 shows the All India monsoon seasonal rainfall series as percentage departure from long period average. The series was subjected to a ‘low- pass filter’ in order to suppress the high frequency oscillations. The weights used were nine point Gaussian probability curve (0. 01, 0. 05, 0. 12, 0. 20, 0. 24, 0. 20, 0. 12, 0. 5, 0. 01). It is clearly seen that no linear trend exists in this series. We have also used linear regression technique and the ‘Students t’ test for testing if there is any significance in the trend. All India summer monsoon rainfall as well the rainfall during the four monsoon months do not show any significant trend. 6. Trends in Sub-divisional rainfall It is interesting to se e that for the country as a whole, the all India monsoon rainfall and monthly rainfall for the monsoon months do not show any significant trend. But there can be large variations in the regional scale.In order to study the secular variations of regional rainfall we have then carried out the trend analysis for the monthly rainfall series of June, July, August, and September and also for the season as a whole for all the 36 subdivisions. The results are shown in Fig 9, which shows significant and remarkable variations on the regional scale. We have analyzed July and August rainfall, which contributes major portion of monsoon seasonal rainfall. We find in July, six subdivisions have shown decreasing trends and eight subdivisions have increasing trends. In August, four (ten) subdivisions have decreasing (increasing) trends for August rainfall.We have considered all the cases of 99%, 95% and 90% levels of statistical significance. June rainfall has shown increasing trend for the western and southwestern parts of the country whereas decreasing trends are observed for the central and eastern parts of the country. But July rainfall has decreased for most parts of the central and peninsular India but increased significantly in the northeastern parts of the country. August rainfall has increased significantly (at 95% significance level) for the subdivisions Konkan & Goa, Marathwada, Madhya Maharashtra, Vidarbha, West M.P. , Telangana and west U. P. September rainfall is increasing significantly (at 95% level of significance) in Gangetic West Bengal and decreasing significantly (at 90% level of significance) for 6 the sub-divisions Marathwada, Vidarbha and Telangana. Fig. 10 shows the trends in southwest monsoon rainfall (in mm in 100 year) for each of the 36 subdivisions. Different levels of significance are shaded with colours. During the season, three subdivisions viz. Jharkhand (95%), Chattisgarh (99%), Kerala (90%) show significant decreasing trends and eight subdiv isions viz.Gangetic WB (90%), West UP (90%), Jammu & Kashmir (90%), Konkan & Goa (95%), Madhya Maharashtra (90%), Rayalseema (90%), Coastal A P (90%) and North Interior Karnataka (95%) show significant increasing trends. In order to examine further, whether the contribution of each month’s rainfall in the annual rainfall shows any significant trend, we have prepared a time series of contribution of rainfall for each month towards the annual total rainfall for each year in percentages. Trend analyses are carried out for each month and for all the 36 subdivisions.Results suggest that contribution of June and August rainfall exhibited significant increasing trends, while contribution of July rainfall exhibited decreasing trends. Fig. 11 shows some very interesting results. June rainfall is getting importance as its contribution to annual rainfall is increasing in almost 19 subdivisions while decreasing in the remaining 17 subdivisions. Contribution of July rainfall is decreasing in central and west peninsular India (significantly in South interior Karnataka (95%), East M. P. (90%) Vidarbha (90%), Madhya Maharashtra (90%), Marathwada (90%), Konkan & Goa (90%), and North interior Karnataka (90%)).Interestingly, contribution of August rainfall is increasing in all these subdivisions. Therefore, we see a major shift in rainfall pattern spatially and temperally during the recent years. 7. Trends in sub-divisional rainfall during other seasons Though south-west monsoon is the major rain producing season over the country, other seasons have also significant contribution in some specific areas. The rainfall during the winter and pre-monsoon seasons are mostly predominant by western disturbances and convective activities whereas during northeast monsoon is predominant over southern states during the October-December period.Therefore, trends analysis was also carried out on sub-divisional rainfall series for the winter 7 season (January – February), pre-monso on season (March-May), post-monsoon season (October-December) and also for the annual rainfall. Fig. 12 shows the increase/decrease in mm in 100 year in each of 36 subdivisions for the winter, premonsoon, post-monsoon seasons and annual. Different levels of significance are shaded with different colours. Rainfall is decreasing in almost all the sub-divisions except for the sub-divisions Himachal Pradesh, Jharkhand and Nagaland, Manipur, Mizoram & Tripura during the winter season.The rainfall for the subdivisions viz. east Uttar Pradesh, Bihar, east Madhya Pradesh where winter rainfall is mostly due to western disturbances is also decreasing significantly. Rainfall is decreasing significantly for the eighteen sub-divisions of the country during the winter season. During the pre-monsoon season, rainfall is decreasing over most parts of the central India. This may indirectly suggests that the convective activity which is the main cause for the rainfall activities during the pre-monsoon season is decreasing over the central parts of the country.Rainfall is decreasing significantly for the six subdivisions viz. Gujarat Region, west M. P. , east M. P. , Vidarbha, Chattisgarh and Jharkhand. However during the post-monsoon season, rainfall is increasing for almost all the sub-divisions except for the nine sub-divisions. It is increasing significantly for the sub-divisions viz. Saurashtra & Kutch, Marathwada and Rayalseema. For the sub-divisions Chattisgarh, Jharkhand and Kerala significant decrease in rainfall is even observed in annual scale.Significant increasing trend is observed in the annual scale for the sub-divisions Konkan & Goa, Madhya Maharashtra, North Interior Karnataka, Rayalseema, coastal Andhra Pradesh, Gangetic West Bengal, Assam & Meghalaya and Jammu & Kashmir. 8. Conclusions There was a need for development of a homogeneous (spatially and temporally) rainfall series for all the 36 meteorological subdivisions as well as for the country as a whole. The newly constructed rainfall series is uniformly distributed through out the country and it represents all the existing districts.Though Indian monsoon rainfall as a whole does not show any significant trend, significant rainfall trends are observed over some specific areas. Present study brings out some of the interesting and also significant changes in the rainfall pattern of the country. The 8 alternating sequence of multi-decadal periods of thirty years having frequent droughts and flood years are observed in the all India monsoon rainfall data. The decades 1961-70, 1971-80 and 1981-90 were dry periods. The first decade (19912000) in the next 30 years period already experienced wet period (Fig. 6).Therefore, there is a chance of wet period for the subsequent two decades viz. 2001-2010 and 2011-2020. Decadal variability is more for the June and September months while decadal variability of July rainfall is almost similar to that of monsoon rainfall. July rainfall is decreasing for most parts of central India while it is decreasing for the north eastern parts of the country. However June and August rainfall is increasing for the central and south western parts of the country. During the southwest monsoon season, three subdivisions viz. Jharkhand, Chattisgarh, Kerala show significant decreasing trend and eight subdivisions viz.Gangetic WB, West UP, Jammu & Kashmir , Konkan & Goa , Madhya Maharashtra, Rayalseema , Coastal A P and North Interior Karnataka show significant increasing trends. For the first time, we have also studied contribution of each of major rain producing month’s (i. e. June, July, August and September) in annual rainfall and examine whether there is any significant change in their contribution. June rainfall is getting importance as its contribution to annual rainfall is increasing in almost 19 sub-divisions while decreasing in the remaining 17 subdivisions. Contribution of July rainfall is decreasing in central and west peninsular In dia.But contribution of August rainfall is increasing in all these areas. Significant increasing trend is also observed in the annual rainfall for the sub-divisions Konkan & Goa, Madhya Maharashtra, North Interior Karnataka, Rayalseema, coastal Andhra Pradesh, Gangetic West Bengal, Assam & Meghalaya and Jammu & Kashmir. Acknowledgements: The authors are thankful to Dr (Mrs) N. Jayanthi, LACD ADGM(R) and Shri Thakur Prasad, DDGM (C) for providing kind support and encouragements for this research work. We also acknowledge the help provided by the staff of the Hydrology section.Note : Electronic version of the all India monthly rainfall shown in Table – 1 can be obtained from National Climate Centre ([email  protected] pune. gov. in) 9 References Pant, G. B. & Rupa Kumar, K. , 1997, Climates of South Asia. John Wiley & Sons, Chichester, 320 pp. Parthasarathy B, 1984, Inter-annual and long term variability of Indian summer monsoon rainfall’, Proc. Indian Acad. Sci. (Eart h Planet. Sci. ), 93, 371-385. Parthasarathy B, Rupa Kumar K and Munot A 1993 Homogeneous Indian monsoon rainfall: variability and prediction; Proc. Indian Acad. Sci. (Earth Planet Science) 102 121-155.Parthasarathy, B. , Munot A and Kothawale D R 1994: All-India monthly and seasonal rainfall series 1887-1993; Theoretical and Applied Climatology 49 217-224. Rupa Kumar, K. , Pant G. B. , Parthasarathy, B. and Sontakke, N. A. 1992, Spatial and sub-seasonal patterns of the long-term trends of Indian summer monsoon rainfall, Int. J. of Climatol. , 12, 257-268. Mooley, D. A. & Parthasarathy, B. , 1984: Fluctuations in All-India summer monsoon rainfall during 1871-1978. Climatic Change, 6, 287-301. World Meteorological Organization, 1983, Guide to Climatological Practices, WMO No 100. 10Table-1 All India monthly, seasonal and annual rainfall Rainfall in mm YEAR 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 JAN 34. 1 11. 4 18. 7 17. 5 24. 9 23. 0 15. 8 22. 2 25. 7 16. 2 41. 1 23. 4 8. 9 6. 4 22. 1 5. 8 9. 6 14. 1 50. 6 24. 9 39. 9 29. 4 26. 0 21. 3 14. 6 29. 4 14. 3 23. 2 28. 0 23. 6 13. 8 10. 0 17. 8 24. 8 30. 0 11. 8 7. 8 30. 8 14. 1 16. 0 25. 7 25. 0 54. 9 28. 5 34. 8 6. 9 23. 2 25. 6 13. 2 30. 2 15. FEB 40. 2 12. 4 14. 0 15. 6 26. 3 49. 2 48. 6 23. 0 21. 4 15. 2 11. 1 23. 7 41. 7 32. 8 42. 1 22. 3 35. 7 7. 1 24. 4 23. 6 10. 8 12. 5 42. 2 25. 7 13. 4 13. 2 34. 2 42. 5 22. 4 22. 2 33. 2 25. 1 32. 9 11. 4 21. 3 41. 5 53. 6 32. 6 33. 4 27. 9 17. 4 45. 1 12. 2 43. 0 10. 8 21. 5 21. 0 29. 0 29. 7 25. 0 15. 3 MAR 29. 6 28. 6 35. 8 38. 5 45. 1 39. 1 46. 7 21. 5 19. 3 22. 5 52. 9 27. 5 31. 0 33. 2 51. 8 17. 8 29. 7 39. 6 27. 6 49. 4 20. 0 18. 4 29. 0 20. 7 20. 9 59. 0 27. 6 25. 6 18. 4 27. 1 22. 2 26. 7 31. 0 22. 2 22. 7 41. 1 24. 6 28. 2 36. 5 45. 1 21. 2 19. 3 26. 7 59. 7 23. 2 26. 0 29. 1 42. 4 24. 4 37. 4 43. 1 APR 41. 9 48. 28. 8 38. 5 39. 5 25. 5 66. 8 38. 2 69. 4 35. 8 32. 4 43. 9 33. 4 50. 6 42. 8 36. 0 43. 2 41. 1 34. 9 36. 8 41. 1 32. 7 32. 4 35. 1 42. 3 42. 9 33. 5 39. 8 50. 4 47. 2 33. 6 32. 6 48. 7 36. 5 46. 9 32. 1 57. 9 31. 1 38. 3 32. 9 30. 7 45. 5 48. 6 37. 6 48. 0 48. 5 35. 4 40. 2 48. 0 26. 9 46. 2 MAY 59. 1 57. 3 66. 3 77. 2 62. 3 45. 6 41. 8 52. 5 59. 9 50. 6 52. 5 49. 7 77. 1 72. 5 62. 0 57. 6 80. 0 89. 4 60. 0 57. 5 40. 1 47. 4 55. 3 59. 7 86. 2 59. 6 54. 5 48. 6 55. 0 59. 8 56. 4 72. 1 98. 8 41. 5 36. 2 79. 4 53. 8 69. 4 39. 4 76. 0 69. 4 56. 1 86. 0 47. 6 50. 4 63. 5 47. 2 75. 2 78. 1 50. 2 58. 4 JUN 129. 4 123. 8 131. 169. 2 112. 1 185. 3 160. 9 135. 7 208. 1 213. 2 196. 8 115. 3 218. 8 166. 9 161. 8 215. 0 221. 3 181. 2 185. 7 151. 4 172. 5 184. 4 98. 6 121. 3 199. 2 95. 1 164. 5 158. 8 179. 0 172. 2 114. 5 125. 0 206. 9 197. 5 141. 9 241. 9 160. 2 245. 5 153. 7 170. 4 162. 2 172. 3 154. 6 138. 1 155. 7 201. 1 124. 0 153. 9 146. 7 142. 7 150. 3 JUL 252. 7 285. 6 298. 9 271. 9 263. 5 290. 7 236. 3 327. 0 314. 9 251. 3 174. 0 329. 3 278. 5 348. 6 232. 9 269. 8 267. 4 160. 9 294. 3 294. 2 274. 6 304. 1 321. 1 315. 0 297. 7 301. 8 333. 6 291. 3 292. 6 289. 1 294. 7 326. 7 275. 7 273. 5 312. 3 276. 2 329. 3 283. 5 262. 5 296. 0 234. 0 339. 305. 5 343. 4 315. 2 297. 4 294. 7 308. 3 298. 9 335. 5 251. 6 AUG 268. 6 209. 8 269. 3 216. 4 211. 3 252. 2 310. 9 308. 5 229. 0 285. 5 214. 6 262. 2 198. 3 239. 8 225. 8 302. 6 287. 3 231. 0 288. 6 177. 9 259. 9 214. 4 272. 2 249. 4 232. 2 326. 6 251. 9 216. 4 240. 9 196. 7 305. 5 227. 8 301. 9 290. 6 228. 1 228. 4 194. 9 239. 6 235. 6 282. 9 223. 4 286. 0 228. 3 288. 4 232. 9 286. 5 287. 4 275. 2 236. 8 235. 6 223. 9 SEP 137. 3 201. 1 195. 3 141. 6 175. 6 182. 5 104. 0 158. 8 165. 9 191. 6 181. 3 128. 8 117. 9 198. 2 175. 8 197. 4 277. 6 105. 2 152. 6 122. 3 193. 5 200. 6 167. 9 232. 9 123. 4 205. 5 152. 6 139. 1 122. 173. 5 186. 3 173. 8 211. 1 164. 4 178. 1 18 5. 4 174. 0 156. 2 150. 3 115. 1 148. 0 180. 4 203. 0 148. 1 210. 6 141. 6 234. 3 176. 5 217. 2 196. 7 130. 5 OCT 59. 5 69. 9 116. 1 73. 7 60. 2 55. 7 31. 8 46. 8 45. 2 111. 8 71. 0 61. 3 69. 6 52. 6 93. 8 140. 4 157. 1 23. 5 77. 1 47. 0 69. 3 56. 5 63. 0 63. 3 72. 2 54. 9 62. 8 115. 3 95. 8 93. 1 121. 7 68. 9 95. 9 62. 2 57. 1 64. 3 94. 5 75. 0 88. 9 62. 4 62. 9 44. 0 90. 5 90. 4 82. 4 79. 6 66. 9 63. 4 93. 2 56. 6 75. 4 NOV 37. 1 29. 3 39. 3 13. 4 12. 9 19. 2 24. 5 8. 9 12. 6 36. 1 43. 8 50. 3 18. 7 22. 3 47. 6 45. 5 27. 4 44. 7 50. 4 26. 5 16. 8 55. 2 17. 7 54. 6 42. 4 11. 8 56. 23. 4 19. 6 47. 7 41. 2 55. 7 21. 3 29. 5 17. 3 56. 2 21. 9 16. 1 29. 7 41. 4 27. 6 18. 2 18. 1 30. 3 21. 2 76. 9 9. 8 70. 0 12. 6 25. 4 31. 7 DEC 14. 0 27. 3 22. 6 19. 7 14. 2 29. 8 16. 6 12. 6 31. 4 9. 5 14. 8 8. 5 25. 1 23. 2 11. 2 5. 8 13. 4 18. 7 22. 5 6. 2 19. 3 16. 5 18. 3 18. 7 18. 4 11. 7 13. 7 29. 1 39. 7 12. 6 23. 8 17. 2 19. 1 14. 7 12. 9 22. 6 21. 0 7. 9 4. 5 18. 0 21. 5 29. 2 8. 5 17. 9 7. 8 39. 4 26. 4 12. 6 5. 7 10. 6 8. 7 J-F 74. 3 23. 8 32. 7 33. 1 51. 2 72. 2 64. 4 45. 2 47. 1 31. 4 52. 2 47. 1 50. 6 39. 2 64. 2 28. 1 45. 3 21. 2 75. 0 48. 5 50. 7 41. 9 68. 2 47. 0 28. 0 42. 6 48. 5 65. 7 50. 4 45. 8 47. 35. 1 50. 7 36. 2 51. 3 53. 3 61. 4 63. 4 47. 5 43. 9 43. 1 70. 1 67. 1 71. 5 45. 6 28. 4 44. 2 54. 6 42. 9 55. 2 31. 2 MAM 130. 6 134. 0 130. 9 154. 2 146. 9 110. 2 155. 3 112. 2 148. 6 108. 9 137. 8 121. 1 141. 5 156. 3 156. 6 111. 4 152. 9 170. 1 122. 5 143. 7 101. 2 98. 5 116. 7 115. 5 149. 4 161. 5 115. 6 114. 0 123. 8 134. 1 112. 2 131. 4 178. 5 100. 2 105. 8 152. 6 136. 3 128. 7 114. 2 154. 0 121. 3 120. 9 161. 3 144. 9 121. 6 138. 0 111. 7 157. 8 150. 5 114. 5 147. 7 J-S 788. 0 820. 3 894. 9 799. 1 762. 5 910. 7 812. 1 930. 0 917. 9 941. 6 766. 7 835. 6 813. 5 953. 5 796. 3 984. 8 1053. 6 678. 3 921. 2 745. 8 900. 903. 5 859. 8 918. 6 852. 5 929. 0 902. 6 805. 6 835. 4 831. 5 901. 0 853. 3 995. 6 926. 0 860. 4 931. 9 858. 4 924. 8 802. 1 864. 4 767. 6 978. 2 891. 4 918. 0 914. 4 926. 6 940. 4 913. 9 899. 6 910. 5 756. 3 O-D 110. 6 126. 5 178. 0 106. 8 87. 3 104. 7 72. 9 68. 3 89. 2 157. 4 129. 6 120. 1 113. 4 98. 1 152. 6 191. 7 197. 9 86. 9 150. 0 79. 7 105. 4 128. 2 99. 0 136. 6 133. 0 78. 4 133. 4 167. 8 155. 1 153. 4 186. 7 141. 8 136. 3 106. 4 87. 3 143. 1 137. 4 99. 0 123. 1 121. 8 112. 0 91. 4 117. 1 138. 6 111. 4 195. 9 103. 1 146. 0 111. 5 92. 6 115. 8 ANNUAL 1103. 5 1104. 6 1236. 5 1093. 2 1047. 9 1197. 8 1104. 7 1155. 1202. 8 1239. 3 1086. 3 1123. 9 1119. 0 1247. 1 1169. 7 1316. 0 1449. 7 956. 5 1268. 7 1017. 7 1157. 8 1172. 1 1143. 7 1217. 7 1162. 9 1211. 5 1200. 1 1153. 1 1164. 7 1164. 8 1246. 9 1161. 6 1361. 1 1168. 8 1104. 8 1280. 9 1193. 5 1215. 9 1086. 9 1184. 1 1044. 0 1260. 6 1236. 9 1273. 0 1193. 0 1288. 9 1199. 4 1272. 3 1204. 5 1172. 8 1051. 0 11 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 198 5 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 Mean (1901-2003) S. D.C. V. 11. 0 26. 2 30. 4 23. 5 17. 5 32. 2 15. 1 28. 7 16. 3 24. 9 14. 9 13. 5 13. 2 13. 3 15. 7 12. 9 24. 3 12. 7 23. 2 17. 4 12. 4 15. 0 11. 7 17. 3 12. 7 17. 9 14. 8 20. 0 15. 0 26. 9 25. 9 18. 2 20. 4 23. 0 17. 8 17. 7 11. 0 15. 8 16. 8 14. 6 19. 2 18. 6 23. 9 27. 5 22. 3 16. 2 16. 9 20. 3 22. 0 11. 3 20. 4 15. 5 20. 3 8. 5 41. 8 22. 6 13. 9 36. 6 11. 1 16. 6 18. 8 20. 5 25. 1 9. 2 33. 9 24. 1 16. 2 19. 0 22. 9 23. 8 14. 1 21. 4 16. 4 27. 4 23. 1 25. 3 19. 4 14. 4 21. 3 22. 2 18. 4 28. 6 34. 7 21. 5 20. 3 25. 1 23. 5 31. 8 14. 4 34. 5 20. 4 24. 9 17. 8 42. 5 25. 7 23. 5 26. 9 25. 9 29. 0 22. 8 13. 0 33. 7 13. 6 26. 8 14. 20. 1 30. 9 24. 6 10. 0 40. 4 35. 1 24. 8 27. 9 29. 9 36. 7 41. 3 29. 8 30. 0 39. 7 27. 8 26. 3 38. 7 27. 9 34. 2 24. 8 55. 0 30. 5 26. 9 33. 3 26. 3 24. 8 27. 5 25. 0 32. 5 32. 3 27. 9 40. 7 34. 1 31. 7 45. 3 41. 1 38. 4 31. 0 30. 8 28. 5 29. 0 43. 8 32. 2 49. 5 29. 8 33. 9 40. 0 27. 3 28. 7 36. 5 33. 8 41. 9 18. 2 22. 9 23. 2 28. 5 32. 8 32. 0 9. 2 28. 8 37. 8 42. 4 30. 2 39. 5 37. 4 35. 3 39. 8 34. 1 28. 1 33. 5 47. 3 45. 6 38. 0 41. 6 34. 9 33. 1 37. 0 42. 5 37. 4 49. 0 37. 4 31. 9 35. 8 31. 5 39. 6 58. 3 32. 9 26. 9 38. 8 36. 1 50. 0 49. 7 42. 6 36. 6 48. 5 39. 4 45. 6 34. 4 43. 4 50. 9 32. 5 30. 7 47. 2 34. 5 35. 5 2. 9 41. 7 24. 2 43. 7 44. 2 42. 3 39. 0 39. 8 7. 9 19. 9 69. 9 48. 7 56. 3 77. 4 85. 8 62. 4 66. 9 68. 5 64. 3 73. 2 63. 6 58. 7 53. 6 50. 9 59. 8 48. 5 45. 6 66. 0 66. 1 73. 7 60. 4 61. 3 66. 2 54. 5 50. 4 81. 3 64. 1 56. 9 50. 6 60. 9 63. 3 63. 8 56. 3 54. 2 53. 9 64. 0 68. 3 56. 1 101. 7 73. 5 53. 9 67. 6 50. 9 77. 7 60. 9 51. 0 58. 9 81. 9 69. 9 61. 4 59. 7 55. 7 61. 9 12. 5 20. 2 168. 4 163. 3 148. 6 180. 3 208. 4 152. 3 123. 9 162. 6 152. 0 185. 8 123. 5 148. 8 152. 3 121. 0 169. 1 146. 3 146. 5 131. 8 195. 5 203. 3 137. 1 148. 5 126. 0 176. 1 157. 7 184. 3 187. 2 151. 1 212. 2 158. 9 139. 9 150. 3 164. 3 153. 0 174. 130. 1 159. 9 183. 3 180. 8 181. 8 141. 9 165. 7 199. 8 137. 4 170. 7 166. 7 162. 4 167. 3 178. 1 185. 6 161. 2 167. 8 163. 4 29. 5 18. 1 281. 8 312. 9 297. 7 241. 2 351. 3 288. 9 314. 5 345. 5 290. 6 329. 0 272. 9 254. 4 320. 6 279. 4 253. 1 296. 4 302. 4 305. 2 248. 8 260. 3 226. 3 284. 5 271. 6 295. 3 294. 1 305. 7 291. 4 244. 4 290. 4 303. 6 242. 7 279. 8 282. 1 270. 9 265. 7 237. 6 353. 4 308. 2 279. 0 281. 4 257. 9 314. 1 336. 3 301. 3 277. 0 284. 8 293. 1 274. 8 274. 5 275. 4 163. 9 305. 9 286. 7 35. 3 12. 3 249. 0 286. 0 237. 5 313. 9 259. 6 264. 9 285. 4 255. 5 244. 6 277. 3 257. 6 294. 9 273. 2 210. 1 229. 5 266. 214. 8 260. 6 300. 8 260. 3 234. 1 293. 4 240. 0 284. 8 292. 1 254. 9 277. 9 235. 1 263. 3 239. 3 274. 5 294. 4 260. 7 238. 7 235. 2 237. 1 285. 2 238. 1 292. 7 256. 0 269. 0 209. 8 278. 9 256. 1 283. 4 270. 5 253. 3 251. 0 240. 2 229. 8 244. 0 250. 1 255. 3 30. 6 12. 0 121. 9 169. 8 244. 5 217. 7 169. 0 130. 3 215. 0 219. 1 168. 6 228. 0 207. 0 163. 2 198. 4 145. 5 151. 7 176. 8 144. 3 179. 6 203. 3 159. 2 138. 9 182. 7 155. 8 224. 1 150. 2 152. 2 160. 4 146. 4 144. 8 193. 5 135. 5 224. 4 149. 7 157. 6 142. 0 152. 0 214. 0 170. 2 195. 2 135. 6 169. 2 200. 6 153. 3 183. 8 147. 0 163. 0 195. 5 191. 5 154. 3 138. 3 173. 0 181. 171. 8 32. 8 19. 1 76. 7 88. 5 81. 6 145. 9 149. 7 66. 4 103. 9 118. 6 75. 3 116. 7 80. 8 93. 0 68. 5 45. 3 62. 1 52. 0 73. 2 63. 5 75. 2 95. 5 70. 8 106. 2 101. 1 109. 8 39. 0 88. 7 62. 7 63. 5 56. 3 53. 8 60. 3 85. 1 69. 1 115. 0 72. 0 88. 4 57. 1 54. 2 99. 9 63. 9 69. 0 87. 8 87. 6 76. 3 98. 8 68. 1 102. 1 106. 5 60. 7 95. 0 69. 8 93. 8 78. 4 24. 8 31. 6 9. 4 14. 1 5. 6 28. 4 42. 8 27. 2 35. 4 25. 4 34. 8 22. 9 19. 9 25. 9 26. 4 18. 7 49. 4 14. 8 23. 4 35. 5 20. 0 16. 1 31. 3 17. 8 14. 4 23. 8 53. 5 61. 8 44. 5 71. 8 26. 0 29. 1 43. 9 14. 0 18. 2 20. 9 43. 9 45. 2 17. 9 20. 6 32. 2 33. 7 42. 3 29. 0 26. 8 35. 7 16. 5 56. 38. 9 23. 2 20. 6 26. 7 27. 0 26. 0 30. 7 15. 1 49. 3 24. 5 9. 8 16. 9 12. 9 15. 8 16 . 3 18. 7 11. 6 12. 6 13. 6 31. 5 19. 1 14. 8 25. 4 18. 4 46. 1 14. 6 17. 5 10. 0 18. 1 23. 8 19. 3 11. 9 9. 8 13. 0 15. 1 24. 6 16. 4 23. 4 16. 8 15. 0 24. 1 16. 9 22. 5 25. 9 21. 3 17. 0 18. 1 25. 2 22. 0 7. 6 18. 6 19. 1 10. 6 18. 6 45. 1 12. 5 8. 5 11. 5 11. 8 12. 0 20. 7 17. 9 7. 9 44. 0 33. 6 40. 1 67. 0 34. 6 34. 1 51. 0 35. 6 53. 8 25. 5 58. 8 39. 0 29. 7 32. 2 36. 2 39. 5 27. 0 45. 7 29. 1 50. 6 40. 5 37. 7 34. 4 26. 1 38. 6 34. 9 36. 3 43. 4 54. 7 36. 5 47. 2 51. 0 41. 7 52. 2 37. 4 52. 3 38. 1 35. 9 33. 6 59. 3 40. 3 42. 7 45. 49. 8 56. 5 45. 1 29. 2 50. 6 33. 9 48. 8 25. 4 40. 5 46. 4 44. 9 12. 3 27. 3 142. 8 115. 9 114. 4 146. 8 159. 9 139. 0 136. 5 132. 6 132. 1 134. 5 137. 2 143. 0 119. 5 126. 7 119. 5 136. 6 113. 1 135. 4 136. 8 149. 0 122. 6 120. 7 127. 0 118. 5 122. 3 167. 5 137. 7 117. 9 121. 1 142. 3 154. 4 151. 9 129. 9 121. 6 130. 9 132. 4 157. 7 122. 7 194. 6 154. 2 120. 3 138. 3 125. 4 140. 9 132. 9 127. 7 142. 5 124. 3 136. 5 128. 8 130. 5 127. 5 133. 7 17. 7 13. 2 821. 1 932. 0 928. 3 953. 1 988. 3 836. 4 938. 8 982. 7 855. 8 1020. 1 861. 0 861. 3 944. 5 756. 0 803. 4 885. 8 808. 0 877. 2 948. 4 883. 1 736. 4 909. 1 793. 4 980. 894. 1 897. 1 916. 9 777. 0 910. 7 895. 3 792. 6 948. 9 856. 8 820. 2 817. 0 756. 8 1012. 5 899. 8 947. 7 854. 8 838. 0 890. 2 968. 3 878. 6 878. 1 885. 0 904. 3 884. 6 847. 1 829. 1 742. 2 905. 7 877. 2 71. 0 8. 1 110. 6 112. 4 104. 1 187. 2 208. 3 109. 9 158. 0 155. 6 122. 7 153. 2 132. 2 138. 0 109. 7 89. 4 129. 9 112. 9 111. 2 116. 5 105. 2 129. 7 125. 9 143. 3 127. 4 143. 4 105. 5 165. 6 131. 8 151. 7 105. 7 99. 7 119. 2 123. 2 104. 2 158. 4 141. 8 154. 9 92. 0 92. 9 157. 3 119. 6 118. 9 135. 4 133. 5 122. 6 133. 9 169. 9 153. 5 138. 2 92. 8 133. 5 108. 8 140. 5 126. 9 28. 8 22. 7 1108. 1 1200. 4 1213. 8 1321. 7 1390. 1136. 3 1268. 9 1324. 7 1136. 1 1366. 6 1169. 4 1172. 0 1205. 9 1008. 3 1092. 3 1162. 3 1078. 0 1158. 2 1241. 0 1202. 3 1022. 6 1207. 5 1073. 9 1280. 8 1156. 8 1266. 5 1229. 8 1101. 3 1174. 0 1184. 5 1117. 2 1265. 7 1143. 1 1137. 6 1142. 0 1082. 2 1298. 1 1149. 0 1358. 9 1168. 9 1119. 9 1209. 4 1277. 0 1198. 6 1190. 0 1211. 8 1250. 9 1181. 0 1125. 2 1116. 8 1022. 0 1220. 1 1182. 8 87. 0 7. 4 12 Table-2 Decadal mean (% departure from normal), frequency of drought and flood years Decadal mean DECADE Per cent departure from normal 1901-10 1911-20 1921-30 1931-40 1941-50 1951-60 1961-70 1971-80 1981-90 1991-2000 2001-2003 -2. -2. 5 -0. 4 1. 7 3. 3 2. 5 -0. 1 -0. 8 -0. 3 0. 6 -5. 9 3 4 1 1 1 1 2 3 2 0 1 0 3 0 1 1 3 1 1 2 1 0 Freq. of Deficient year Freq. of Excess year 13 Fig. 1 Location of raingauge stations considered for the study 14 Fig. 2. Location of raingauge stations used by IITM (Parthasarathy et al. 1994) 15 R/F IN MM 0. 5 1. 5 2. 5 3. 5 -1 0 1 2 3 -0. 5 -1. 5 1000 1100 -2 500 600 700 800 900 1901 1904 1901 1904 1907 1910 1913 1916 1919 1922 1925 1928 1931 1934 1937 1940 1943 1946 1949 1952 1955 1958 1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 YEAR 1907 1910 1913 1916 1919 1922 1925 928 1931 1934 1937 1940 1943 1946 1949 IITM(Parthosarothy Series) series and the new IMD series Fig. 3. Comparison between IITM South-West monsoon seasonal rainfall Fig. 4. The 31 year moving averages of all India south-west monsoon seasonal rainfall 16 1952 1955 1958 1961 1964 1967 1970 1973 1976 1979 1982 1985 IMD series 1988 1991 1994 1997 2000 2003 PERCENTAGE DEPARTURE -4 0 1 2 3 4 1901 -6 -4 -2 0 2 4 PERCENTAGE DEPARTURE 6 8 1901 1904 1907 1910 1913 1916 1919 1922 1925 1928 1931 1934 1937 1940 1943 1946 1949 1952 1955 1958 1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 3 -2 -1 1991-2000 1904 1907 1910 1913 1916 1919 1922 1925 1928 1931 1934 1937 1940 1943 1946 1949 1952 1955 YEAR 2001-03 1901-10 -8. 0 31 YEAR MOVING AVERAGE ALL INDIA AUGUST RAINFALL 1981-90 -6. 0 YEAR 1958 1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 1971-80 -4. 0 -2. 0 1961-70 1951-60 1941-50 1931-40 192 1-30 1911-20 31 YEAR MOVING AVERAGE ALL INDIA JUNE RAINFAL DECADAL MEANS OF ALL INDIA SUMMER MONSOON RAINFALL (% DEPARTURE FROM MEAN) (June, July, August, September) Fig. 5. 31 year moving average of all India rainfall for the four monsoon months Fig 6.Decadal means of all India summer monsoon rainfall (% departure from mean) 17 -4 1901 1904 1907 1910 1913 1916 1919 1922 1925 1928 1931 1934 1937 1940 1943 1946 1949 YEAR 1952 1955 1958 1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 -3 -2 -1 0 PERCENTAGE DEPARTURE PERCENTAG E DEPAR TURE 1 2 3 4 5 6 7 -3 1901 1904 1907 1910 1913 1916 1919 1922 1925 1928 1931 1934 1937 1940 1943 1946 1949 YEAR 1952 1955 1958 1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 -2 -1 0 1 2 3 4 5 6 0. 0 2. 0 4. 0 31 YEAR MOVING AVERAGE ALL INDIA JULY RAINFALL 1 YEAR MOVING AVERAGE ALL INDIA SEPTEMBER RAINFALL June DECADAL MEANS OF ALL INDIA JUNE RAINFALL (% DEPARTURE FROM MEAN) -8. 0 1901-10 1911-20 1911-2 0 1921-30 1921-30 1931-40 1931-40 DECADE -6. 0 -4. 0 -2. 0 0. 0 2. 0 4. 0 6. 0 8. 0 10. 0 12. 0 -15. 0 1901-10 July DECADAL MEANS OF ALL INDIA JULY RAINFALL (%DEPARTURE FROM MEAN) -10. 0 -5. 0 0. 0 5. 0 10. 0 1941-50 1941-50 Decade DECADE 1951-60 1951-60 1961-70 1961-70 1971-80 1971-80 1981-90 1981-90 1991-2000 1991-2000 2001-03 2001-03 August DECADAL MEANS OF ALL INDIA AUGUST RAINFALL (% DEPARTURER FROM MEAN) -8. 1901-10 -6. 0 -4. 0 -2. 0 0. 0 2. 0 4. 0 6. 0 -10. 0 1901-10 -5. 0 0. 0 Septermber DECADAL MEANS OF ALL INDIA SEPTEMBER RAINFALL (%DEPARTURE FROM MEAN) 5. 0 10. 0 15. 0 20. 0 1911-20 1911-20 1921-30 1921-30 1931-40 DECADE 1931-40 1941-50 1941-50 1951-60 1951-60 1961-70 1961-70 1971-80 1971-80 1981-90 1981-90 1991-2000 1991-2000 2001-03 2001-03 Fig. 7. Decadal means of all India rainfall (% departure from mean) for the month of June, July, August and September 25. 0 20. 0 15. 0 10. 0 5. 0 0. 0 -5. 0 -10. 0 -15. 0 ALL INDIA MONSOON R. F -20. 0 -25. 1901 1904 1907 1910 1913 1 916 1919 1922 1925 1928 1931 1934 1937 1940 1943 1946 1949 1952 1955 1958 1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 Nine point gaussian filter PERCENTAGE DEPARTURE YEAR Fig. 8. All India Monsoon rainfall and its nine point Gaussian filter 18 Fig. 9. Increase/Decrease in rainfall in mm in 100 year for each of 36 subdivisions for the monsoon months. Different levels of significance are shaded with colors 19 Fig. 10. Increase/Decrease in rainfall in mm in 100 year for each of 36 subdivisions for the south-west monsoon season.Different levels of significance are shaded with colors 20 Fig. 11. Increase/Decrease in rainfall in percentage in 100 years in monthly contribution of rainfall to annual rainfall for each of the four monsoon months for 36 subdivisions 21 Fig. 12. Increase/Decrease in rainfall in mm in 100 year in each of 36 subdivisions for the winter, pre-monsoon, post-monsoon seasons and annual. Different levels of significance are shaded with co lors 22 N C C RESEARCH REPORTS New statistical models for long range forecasting of southwest monsoon rainfall over India, M. Rajeevan, D. S. Pai and Anil Kumar Rohilla, Sept. 2005. 23