Prioritization of sub-watershed through morphometric analysis, Principal Component, and Land Use/Cover: A Case study of Cachar District, India
Soil and watershed management relies heavily on watershed prioritization. Examining flood risk assessment using morphometric parameters and land use/land cover (LULC) datasets analyzed using GIS, this study focuses on watershed prioritization in the Cachar district. To calculate linear, areal, and r...
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Veröffentlicht in: | BIO web of conferences 2024, Vol.131, p.4017 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Soil and watershed management relies heavily on watershed prioritization. Examining flood risk assessment using morphometric parameters and land use/land cover (LULC) datasets analyzed using GIS, this study focuses on watershed prioritization in the Cachar district. To calculate linear, areal, and relief morphometric parameters and to demarcate sub-watersheds, a 30 m resolution ALOS DEM was used. To evaluate LULC parameters, we also used Esri LULC 2023, which is based on Sentinel-2 imagery with a resolution of 10 meters. To establish priorities, an integrated method based on Principal Component Analysis (PCA) was used. When it comes to watershed prioritization, principal component analysis (PCA) is well-known for its adaptability and efficiency in choosing important correlated parameters. Priority was given to the sub-watershed that had the lowest compound value. Stream orders varied from 2 to 4, and the district was subdivided into 6 sub-watersheds. With a stream order of 4, sub-watershed 5 (SW_5) had the highest order, and sub-watershed 4 (SW_4) had the lowest. |
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ISSN: | 2117-4458 2117-4458 |
DOI: | 10.1051/bioconf/202413104017 |