Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques
The present study highlights the importance of Digital Elevation Model (DEM) and satellite images for assessment of drainage and extraction of their relative parameters for the Orr watershed Ashok Nagar district, M.P., India. Hydrological parameters such as drainage analysis, topographic parameters...
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Format: | Article |
Language: | English |
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Elsevier
2014-12-01
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Series: | Egyptian Journal of Remote Sensing and Space Sciences |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1110982314000271 |
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author | Prafull Singh Ankit Gupta Madhulika Singh |
author_facet | Prafull Singh Ankit Gupta Madhulika Singh |
author_sort | Prafull Singh |
collection | DOAJ |
description | The present study highlights the importance of Digital Elevation Model (DEM) and satellite images for assessment of drainage and extraction of their relative parameters for the Orr watershed Ashok Nagar district, M.P., India. Hydrological parameters such as drainage analysis, topographic parameters and land use pattern were evaluated and interpreted for watershed management of the area.
Hydrological module of ARC GIS software was utilized for calculation and delineation of the watershed and morphometric analysis of the watershed using SRTM DEM. The stream order of watershed ranges from first to sixth order showing dendritic type drainage network which is a sign of the homogeneity in texture and lack of structural control of the watershed. The drainage density in the area has been found to be low to medium which indicates that the area possesses highly permeable soils and low relief. The bifurcation ratio varies from 4.74 to 5 and the elongation ratio is 0.58 which reveals that the basin belongs to the elongated shaped basin category. The mean Rb of the entire basin is 4.62 which indicates that the drainage pattern is not much influenced by geological structures. Land use map of the watershed was generated from latest available multispectral satellite data and whole watershed covers under agricultural land, settlement, fallow land, forest, mining areas and water body.
The present study reveals that SRTM DEM based hydrological evaluation at watershed scale is more applied and precise compared to other available techniques. |
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id | doaj.art-49480d4de27849e88056d1724d3c8aa9 |
institution | Directory Open Access Journal |
issn | 1110-9823 |
language | English |
last_indexed | 2024-12-16T18:04:15Z |
publishDate | 2014-12-01 |
publisher | Elsevier |
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series | Egyptian Journal of Remote Sensing and Space Sciences |
spelling | doaj.art-49480d4de27849e88056d1724d3c8aa92022-12-21T22:21:58ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232014-12-0117211112110.1016/j.ejrs.2014.09.003Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniquesPrafull SinghAnkit GuptaMadhulika SinghThe present study highlights the importance of Digital Elevation Model (DEM) and satellite images for assessment of drainage and extraction of their relative parameters for the Orr watershed Ashok Nagar district, M.P., India. Hydrological parameters such as drainage analysis, topographic parameters and land use pattern were evaluated and interpreted for watershed management of the area. Hydrological module of ARC GIS software was utilized for calculation and delineation of the watershed and morphometric analysis of the watershed using SRTM DEM. The stream order of watershed ranges from first to sixth order showing dendritic type drainage network which is a sign of the homogeneity in texture and lack of structural control of the watershed. The drainage density in the area has been found to be low to medium which indicates that the area possesses highly permeable soils and low relief. The bifurcation ratio varies from 4.74 to 5 and the elongation ratio is 0.58 which reveals that the basin belongs to the elongated shaped basin category. The mean Rb of the entire basin is 4.62 which indicates that the drainage pattern is not much influenced by geological structures. Land use map of the watershed was generated from latest available multispectral satellite data and whole watershed covers under agricultural land, settlement, fallow land, forest, mining areas and water body. The present study reveals that SRTM DEM based hydrological evaluation at watershed scale is more applied and precise compared to other available techniques.http://www.sciencedirect.com/science/article/pii/S1110982314000271Remote sensingGISHydrological inferencesWatershed management |
spellingShingle | Prafull Singh Ankit Gupta Madhulika Singh Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques Egyptian Journal of Remote Sensing and Space Sciences Remote sensing GIS Hydrological inferences Watershed management |
title | Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques |
title_full | Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques |
title_fullStr | Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques |
title_full_unstemmed | Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques |
title_short | Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques |
title_sort | hydrological inferences from watershed analysis for water resource management using remote sensing and gis techniques |
topic | Remote sensing GIS Hydrological inferences Watershed management |
url | http://www.sciencedirect.com/science/article/pii/S1110982314000271 |
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