Geoinformatics And Swat Model Integration For Groundwater Quality Assessment In Water-Stressed Regions Of Haryana
Keywords:
Remote Sensing, Groundwater, GIS, rivers, SWAT Model, Waterlogged Area, Spatial Analysis, Water Resource ManagementAbstract
Groundwater crisis is emerging as a pressing concern in many regions of India, particularly in water-stressed states like Haryana. This study focuses on the integrated application of geoinformatics and the SWAT (Soil and Water Assessment Tool) model to assess groundwater quality and waterlogged areas within Hisar and Bhiwani districts. By leveraging ARC GIS software and remote sensing data, several thematic layers—including base maps, Digital Elevation Models (DEM), NDWI (Normalized Difference Water Index), groundwater depth, and waterlogged regions—were generated. The study demonstrates that remote sensing and GIS provide rapid and accurate methods for groundwater analysis, enabling effective identification of risk zones for policymakers, planners, and administrators.
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