www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 Volume-5, Issue-4, August-2015 International Journal of Engineering and Management Research Page Number: 400-404 Assessment of Poverty in Coastal Zone of Tirunelveli District, Southern Tamilnadu using Geoinformatics Mahendran.M1, Chandra Prasath.V.T.S2, Anand.M3, Rajamanickam.M4, Jose Ravindra Raj.B5 1,2,3Post Graduate Student, Department of Civil Engineering, Prist University, Trichy-Thanjavur Highway, Vallam, Thanjavur, INDIA 4Assistant Professor,Center for Geoinformatics, Prist University, Trichy-Thanjavur Highway, Vallam, Thanjavur, INDIA 5Assistant Professor, Department of Civil Engineering, Prist University, Trichy-Thanjavur Highway, Vallam, Thanjavur, INDIA ABSTRACT objective.The main source for spatial statistics on global The study carriedout during 2007 major Tsunami episode poverty is the World Bank,which has gathered,analysed occurred,its affects damaged to coastal property as well as statistical survey and distributed national level spatial data economically damaged to people’s property. In this study has on coastal Poverty level records since 1990.Their carried out to find out the coastal poverty location along the methodology are based on the analysis of real time household coast of Tirunelveli District of Tamilnadu. The parameters like surveys completed in almost 100 countries.Survey questions gender, religion, family, occupation, house type, electricity, family members, education, total income, food expentiture, cloth cover sources of income, consumption,expenditures,and expentiture, education expenditure, saving and debt numbers of individuals making up the household. Most information. The thematic GIS overlays of different layers were surveys are conducted by government employees.Two types carried out to find out the coastal poverty location.The final of poverty data are produced coastal poverty line data and results show the level and magnitude of poverty level is noticed. international poverty line data. The GIS based analysis of socioeconomic data is significant to Individual nation set up their individual poverty line for understand society as well as country economic development. the national data. Conflicting philosophy in defining poverty make pooling the national poverty line data problematic. Keywords---- Tsunami, Property, Coast, Expenditure, GIS, Inaddition to that more in current times,purchasing power Poverty parity has been introduced into the formulation of international poverty line data.There are a number of problems well documented by the World Bank.Not all countries carry out the poverty surveys,the currently available I. INTRODUCTION data were derived from surveys spanning 1988 through 2010 and the survey repeat cycle is uncertain.The Poverty has emerged as one of the major problem facing intercomparability of the estimates is uncertain due to society during the 21st century.Based on statistical survey difficulties in reconciling consumption and income data,plus from the World Development Indicators[ ] roughly 42% or discrepancies in the purchasing power parity estimate for 2.6 billion people exist in poverty. Poverty is the general term individual countries[2].It is also possible for governments to describing living conditions that are hazardous to influence the outcome of the surveys since they design the health,comfort,trade and industry development.In locations questionaries,chose the site for poverty survey and carry out where poverty levels are high there is typically a convergence the interviews.In recent year Geographical information of inadequacies across several of these areas widely noted System (GIS) plays a vital role in social economical study. consequences of poverty include higher infant death,shorter Now a day, GIS based Poverty maps have emerged as life spans and worse literacy rates.Poverty is also closely mostly used for assessing the poverty level estimation and associated with environmental degradation.The United analysis [3].Poverty maps habitually symbolize a single Nations Millenium Development Goals include a 50% measure or multiple catalog value for study region,for reduction in extreme poverty by the end of 2015.Economic example coastal zone or coastal villages.Spatially intergrated analyses[1]point out that eliminating poverty is a main 400 Copyright © 2011-15. Vandana Publications. All Rights Reserved. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 international maps of the numbers of individuals living in Statement of Research Problem different poverty level ,based on a reliable categorization of In many coastal villages of tamilnadu today,most of the the poverty line would be tremendously supportive for development programmes/plans targeted at poverty targeting of efforts to decrease poverty[4] measurement of the alleviation have failed to achieve desired results because value of spatially different data is that they be able to be help successive governments have over the years been planning to understand multiple levels of planning national level,state and executing such programmes/plans without relevant level or district level planning.If spatially dissimilar poverty maps,especially those viewing the distribution of the poor maps can be updated regularly,on an annual or semi-annual people all along the coast.coastal poverty is on the subject of basis,they could be find to pathway of poverty line.The access and consumption of state provided commodities effectiveness of poverty reduction efforts in specific localities namely transportation,water availability,electricity and the cost of natural disasters event,epidemical disorder or facility,health care and sanitation, education and conflicts.Satellite images can able to provide synoptic view marketplace.Coastal Poverty in several communities is and repeatable sources of observations.In the earth and openly related to the lack or poor conditions of these environmental sciences,satellite data have proven vital role in infrastructures/services.In the appearance of decreasing global mapping and global assessment of processes such as public resources therefore,a feasible approach neededto coastal vulnerability assessment.There are numerous assign finanvial esources for poverty alleviation program. applications for satellite images have been developed in the Coastal Poverty mapping social and economic sciences.In part,this to be credited to the Poverty mapping defined here as the spatial information that most earth observation satellite sensors are representation and analysis of indicators of human wellbeing optimized for observation of natural phenomenon (rainfall) and poverty [5] [6]. is becoming an increasingly significant that are not directly related to socioeconomical activities such tool for more integrated investigation and discussion of as total population density,moneyflow,basic amendies and social,economic, and environmental problems.Maps are economic status of the region.In this paper discussed the powerful tools for presenting information to non- application of GIS for coatal poverty assessment using spatial specialists,who are able to examine mapped data to identify analysis. clusters,patterns of distribution,and trends of poverty in the community. II. STUDY AREA Why Use Coastal Poverty Maps? Poverty maps also permit simple comparison of The study area is lies between 77.040’-780.20’E and indicators of poverty or well being with data from new 080.10’-080.50’N.The coastal stretch comprises of small impact assessments, such as the right to use the transportation hamlets, numerous population concentration all along the facility, or services, availability and condition of natural shore.The study area map is shown in fig.1. resources, and distribution of communications facilities. Specifically; 1. Coastal Poverty maps can help to get information on the spatial distribution of Poverty maps that in turn around the targeting of interference or development projects. 2. GIS based coastal poverty analysis makes it easier to incorporate poverty data from diverse sources 3. Geo-referenced spatial information can free analysis of the restrictions of fixed geographical boundaries. For example data can be converted from administrative to ecological boundaries which are often more significant in a natural resource management context. 4. Mapped information on the levels and distribution of poverty make the results of analysis more easily understandable to a non-specialist audience. OBJECTIVES 1. To understand the coastal poverty on village level of the selected coastal Sector 2. To identify the places where vulnerable human populations are dependent on vulnerable fisheries, species, or marine or coastal habitats. 3. To examine economic and social issues of sustainable utilization of coastal and marine resources such as Fig.1.Study Area globalization. 401 Copyright © 2011-15. Vandana Publications. All Rights Reserved. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 4. To prepare an integrated coastal poverty mapping and Therefore, this paper concentrates on the above six select a method to calculate, estimate, or display poverty variables and discussed the problems encountered in using Indicator for a geographic area. them in a socioeconomic index. 3.3.GIS integration III. METHDOLOGY Some poverty mapping techniques use composite indexes as the poverty measure and rely on the direct Depending on the chosen poverty indicator,input aggregation of census data to display the poverty indicator for data,and method of assessment