One of the 17 types of severely polluting sectors in the nation is thermal power plants which exert pressure upon the environment and health aspects in several ways e.g. creating thermal, air, and water pollution, exacerbating physiological acute and chronic responses, and affecting the subjective wellbeing of an individual residing proximal to the source. Situated on the right bank of the Rupnarayan river, Kolaghat thermal power plant is one of the major power generating plants of West Bengal, which is also producing 7500-8000 metric tons of fly ash every day but having only 325 acres of land for its disposal. Hence the plant has been exerting pressure upon the surrounding environment since its establishment and growth between 1980-1985. This study is to evaluate the overall impact of thermal power plants on the local environment and public health using a composite index that incorporates environmental and health dimensions i.e. Air quality index, drinking water quality index, land surface temperature, social parameters, Non–communicable disease rate, etc. The study reveals the local-level impact of air pollution and the impact of fly ash emissions. Nandakumar, Tamluk, and Kolaghat have been identified as blocks under stress. The workers of the plant have reported undesirable thermal and ambient air quality conditions within the battery limit, with the prevalence of skin problems, allergies, and fatigue among them. Site-specific plantation and phytoremediation techniques with the use of riparian buffers have been recommended.
The geoinformatics platform integrates remotely sensed data and Geographic Information Systems (GIS). It has a vast range of applications. The technique is widely used not only to study the physical aspects of a region but also to analyse the social and economic setup. The objective of this study is to understand the socio-economic setup of Ravangla, which is a small tourist town located in South Sikkim, India. The primary data have been collected from the field survey and analysed using GIS tools. The social indices such as social structure, housing condition, and the condition of basic facilities such as health, education, transport, market, and others have been analysed in the present study. GIS has been used to study the spatial distribution of these social and economic parameters. The technique has also been used to assess the socio-economic vulnerability of the community living in Ravangla. The Composite Vulnerability at the community level has been calculated based on socioeconomic parameters and a vulnerability map has been prepared. Based on the Composite Vulnerability Index, the households in the study area have been classified as Highly, Moderately, and Less Vulnerable. The GIS techniques have been used to amalgamate the socioeconomic components of vulnerability to recognize the most vulnerable households in Ravangla. The study will help planners, policymakers, and administrators to take necessary steps for mitigating socio-economic problems in the study area.
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