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GIS Approach of Delineation and Risk Assessment of Areas Affected by Arsenic Pollution in Drinking Water
Authors:Sukha Ranjan Samadder  Chillara Subbarao
Affiliation:1Lecturer, Dept. of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal-462007, India (corresponding author). E-mail: sukh_samadder@yahoo.co.in
2Advisor-Consultant, Geo-Environ, D/3 Garud Heritage, Aundh, Pune-411 007, India; formerly, Professor and Head, Dept. of Civil Engineering, IIT Kharagpur, India. E-mail: csubbarao2005@yahoo.com
Abstract:The objective of this study is to analyze health effects of arsenic pollution of drinking water using a geographical information system (GIS). The paper reports the regional impact of arsenic contamination in six administrative blocks of the central part of the Murshidabad district, West Bengal, India. In this area about 1,248,580 people are exposed to arsenic pollution out of whom 388,316 people are exposed to arsenic concentrations above 0.05?mg/L, the WHO maximum permissible level of arsenic in drinking water. The study estimates that 65% of the total area of the six blocks has arsenic concentrations below 0.05?mg/L, 26.12% of the area has arsenic concentrations above 0.05?mg/L, and for the rest of the area no arsenic distribution data available. The total number of expected death cases has been estimated considering the percent of risk involved in a concentration range and corresponding total population using such water for drinking purpose. The analysis forecasts that 11,890 people may risk death due to arsenic pollution in the whole life span. The maximum number of death cases is expected in Domkal and Beldanga 1 blocks and the minimum number of death cases is expected in Block Bhagabangola 2. This study also reports a comparison between the theoretical expectation of death cases and actual reported arsenicosis cases for the Domkal block. The areas of theoretical expectation and the areas of actually reported cases match fairly well except in a few cases. The present study helps planning and implementing of priority-based arsenic mitigation options.
Keywords:Arsenic  Assessment  Disasters  Forecasting  Geographic information systems  Risk analysis  Water pollution  Potable water  
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