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Abstract: The district of East Jaintia Hills of Meghalaya, India, is abundant in coal deposits, and coal mining plays a significant role in the region's economy. However, unregulated mining practices have led to intense environmental destruction, including deforestation, water pollution, soil erosion, and loss of biodiversity. Geographic Information System (GIS) technology has proven its worth significantly in environmental management by providing spatial data analysis and decision-making support for the assessment and mitigation of these impacts. This paper reviews the role of GIS in assessing the environmental impacts of coal mining in East Jaintia Hills, focusing on the identification, monitoring, and management of the environmental consequences of mining activities. Using case studies, the paper reassesses to illustrate the implementation of the application of GIS in mapping land cover changes, monitoring air and water quality, and modeling potential future impacts. Furthermore, it emphasizes the importance of integrating GIS with other environmental management tools to develop sustainable mining practices that reconcile economic advancement with environmental responsibility.
Keywords:
Keywords: Geographic Information System, Environmental Impact Assessment, Coal Mining, East Jaintia Hills, Meghalaya, Land Use Change, Water Pollution, Soil Erosion, Sustainable Development
Cite Article:
"" Geospatial Insights: A Review of GIS Applications in Assessing Environmental Impacts of Coal Mining in East Jaintia Hills, Meghalaya "", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 2, page no.a650-a658, February-2025, Available :http://www.ijrti.org/papers/IJRTI2502068.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator