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Sub-Watershed Prioritization Using Compound Factor and GIS Analysis in A Semi-Arid Agricultural Watershed of Madhya Pradesh
Subject area: Science,Engineering and Technology · Area of research: Water Resources Management
DOI: https://doi.org/10.64388/IREV9I9-1715141
Abstract
A comprehensive morphometric analysis and prioritization of the Khair watershed, located in the semi-arid region of Madhya Pradesh, was carried out using spatial information technology. The watershed was divided into ten sub-watersheds to analyze various morphometric parameters, which were subsequently incorporated into compound factor analysis to assess erosion susceptibility. The results indicate that the four sub-watersheds SW-1 to SW-4 fall under the high-priority category and require immediate conservation measures, whereas the remaining sub-watersheds are classified under moderate to low priority. The study highlights that the integration of remote sensing, GIS, and statistical techniques provides a reliable and efficient framework for watershed prioritization, offering significant insights for sustainable land and water resource management in semi-arid regions prone to soil erosion and land degradation.
Keywords
Morphometry, Prioritization, Khair watershed, Remote Sensing & GIS
How to cite this paper
@article{1715141,
author = {Dr. K. Nageswara Rao},
title = {Sub-Watershed Prioritization Using Compound Factor and GIS Analysis in A Semi-Arid Agricultural Watershed of Madhya Pradesh},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {1167-1171},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715141.pdf},
abstract = {A comprehensive morphometric analysis and prioritization of the Khair watershed, located in the semi-arid region of Madhya Pradesh, was carried out using spatial information technology. The watershed was divided into ten sub-watersheds to analyze various morphometric parameters, which were subsequently incorporated into compound factor analysis to assess erosion susceptibility. The results indicate that the four sub-watersheds SW-1 to SW-4 fall under the high-priority category and require immediate conservation measures, whereas the remaining sub-watersheds are classified under moderate to low priority. The study highlights that the integration of remote sensing, GIS, and statistical techniques provides a reliable and efficient framework for watershed prioritization, offering significant insights for sustainable land and water resource management in semi-arid regions prone to soil erosion and land degradation.},
keywords = {Morphometry, Prioritization, Khair watershed, Remote Sensing & GIS},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1715141}
}