A Multivariate Geomorphometric Approach to Prioritize Drought Prone Sakri Basin for Land and Water Resource Management
Soil and water resource management is a serious concern in respect of climate variability to increase soil moisture and fulfil the need of living population and flora and fauna. In the context of basin, prioritization of sub-watershed has gained significance in the natural resource management. The s...
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description | Soil and water resource management is a serious concern in respect of climate variability to increase soil moisture and fulfil the need of living population and flora and fauna. In the context of basin, prioritization of sub-watershed has gained significance in the natural resource management. The study prioritized the sub-watershed of the Sakri basin using a multivariate geomorphometric approach. The basin resulted in the formation of 11 sub-watersheds. Measurement of basic and derived morphometric parameter was considered, and 17 parameters have been taken for ranking and priority of sub-watershed. The morphometric analysis and principal component analysis (PCA) approaches were employed for ranking and prioritization of sub-watershed, based on high correlated parameters. Based on the results of morphometric analysis and PCA, sub-watersheds were categorized in high, medium and low priority. Among a total of 11 sub-watersheds, sub-watershed (SW) 3, 5, 6, 8 and 9 falling under high priority, which accounting to 46.82% of the basin. The high priority sub-watershed is at a higher risk of erosion which needs instantaneous soil and water conservation measures for betterment of basin morphometry and minimizes drought conditions. Results of the two approaches show that morphometric-based prioritization is more reliable and better in decision making for soil and water conservation planning at the sub-watershed level. Overall, these results are highly relevant in planning and developing of suitable soil and water conservation structures for mitigation and prevention in the region. |
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In the context of basin, prioritization of sub-watershed has gained significance in the natural resource management. The study prioritized the sub-watershed of the Sakri basin using a multivariate geomorphometric approach. The basin resulted in the formation of 11 sub-watersheds. Measurement of basic and derived morphometric parameter was considered, and 17 parameters have been taken for ranking and priority of sub-watershed. The morphometric analysis and principal component analysis (PCA) approaches were employed for ranking and prioritization of sub-watershed, based on high correlated parameters. Based on the results of morphometric analysis and PCA, sub-watersheds were categorized in high, medium and low priority. Among a total of 11 sub-watersheds, sub-watershed (SW) 3, 5, 6, 8 and 9 falling under high priority, which accounting to 46.82% of the basin. The high priority sub-watershed is at a higher risk of erosion which needs instantaneous soil and water conservation measures for betterment of basin morphometry and minimizes drought conditions. Results of the two approaches show that morphometric-based prioritization is more reliable and better in decision making for soil and water conservation planning at the sub-watershed level. Overall, these results are highly relevant in planning and developing of suitable soil and water conservation structures for mitigation and prevention in the region.</description><identifier>ISSN: 0255-660X</identifier><identifier>EISSN: 0974-3006</identifier><identifier>DOI: 10.1007/s12524-024-01884-4</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>basins ; climate ; Climate variability ; Drought ; Earth and Environmental Science ; Earth Sciences ; fauna ; Flora ; Geomorphology ; morphometry ; Multivariate analysis ; Natural resource management ; Natural resources ; Parameters ; principal component analysis ; Principal components analysis ; prioritization ; Ranking ; Remote Sensing/Photogrammetry ; Research Article ; risk ; Soil conservation ; Soil moisture ; Soil structure ; Soil water ; subwatersheds ; Water conservation ; Water resources management ; Water shortages ; Watersheds</subject><ispartof>Journal of the Indian Society of Remote Sensing, 2024-06, Vol.52 (6), p.1297-1314</ispartof><rights>Indian Society of Remote Sensing 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c303t-fa8fa49cb493b896dc2280c548b7d9e40f7175626ec14c68e2462cb825be2cbf3</cites><orcidid>0000-0003-0959-0417</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12524-024-01884-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12524-024-01884-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Jeet, Pawan</creatorcontrib><creatorcontrib>Singh, Anil Kumar</creatorcontrib><creatorcontrib>Upadhyaya, Ashutosh</creatorcontrib><creatorcontrib>Das, Anup</creatorcontrib><creatorcontrib>Kumar, Rakesh</creatorcontrib><creatorcontrib>Sundaram, Prem Kumar</creatorcontrib><creatorcontrib>Kumari, Arti</creatorcontrib><creatorcontrib>Saurabh, Kirti</creatorcontrib><creatorcontrib>Singh, Deepak</creatorcontrib><creatorcontrib>Kumar, Prem Pal</creatorcontrib><title>A Multivariate Geomorphometric Approach to Prioritize Drought Prone Sakri Basin for Land and Water Resource Management</title><title>Journal of the Indian Society of Remote Sensing</title><addtitle>J Indian Soc Remote Sens</addtitle><description>Soil and water resource management is a serious concern in respect of climate variability to increase soil moisture and fulfil the need of living population and flora and fauna. In the context of basin, prioritization of sub-watershed has gained significance in the natural resource management. The study prioritized the sub-watershed of the Sakri basin using a multivariate geomorphometric approach. The basin resulted in the formation of 11 sub-watersheds. Measurement of basic and derived morphometric parameter was considered, and 17 parameters have been taken for ranking and priority of sub-watershed. The morphometric analysis and principal component analysis (PCA) approaches were employed for ranking and prioritization of sub-watershed, based on high correlated parameters. Based on the results of morphometric analysis and PCA, sub-watersheds were categorized in high, medium and low priority. Among a total of 11 sub-watersheds, sub-watershed (SW) 3, 5, 6, 8 and 9 falling under high priority, which accounting to 46.82% of the basin. The high priority sub-watershed is at a higher risk of erosion which needs instantaneous soil and water conservation measures for betterment of basin morphometry and minimizes drought conditions. Results of the two approaches show that morphometric-based prioritization is more reliable and better in decision making for soil and water conservation planning at the sub-watershed level. Overall, these results are highly relevant in planning and developing of suitable soil and water conservation structures for mitigation and prevention in the region.</description><subject>basins</subject><subject>climate</subject><subject>Climate variability</subject><subject>Drought</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>fauna</subject><subject>Flora</subject><subject>Geomorphology</subject><subject>morphometry</subject><subject>Multivariate analysis</subject><subject>Natural resource management</subject><subject>Natural resources</subject><subject>Parameters</subject><subject>principal component analysis</subject><subject>Principal components analysis</subject><subject>prioritization</subject><subject>Ranking</subject><subject>Remote Sensing/Photogrammetry</subject><subject>Research Article</subject><subject>risk</subject><subject>Soil conservation</subject><subject>Soil moisture</subject><subject>Soil structure</subject><subject>Soil water</subject><subject>subwatersheds</subject><subject>Water conservation</subject><subject>Water resources management</subject><subject>Water shortages</subject><subject>Watersheds</subject><issn>0255-660X</issn><issn>0974-3006</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kUtr3DAUhU1pIGnaP5CVoJtu3OhxJcvLaZoXTGhIW9qdkDXXM0rH1kSSA-mvj8wUAl1kcbji8p3DFaeqThj9zChtThPjkkNNZzGtoYY31RFtG6gFpepteXMpa6Xo78PqXUr3ZQmS8aPqcUFupm32jzZ6m5FcYhhC3G3CgDl6Rxa7XQzWbUgO5Db6EH32f5F8jWFab3JZhRHJd_snevLFJj-SPkSytOOKzPpVIiO5wxSm6JDc2NGuccAxv68OertN-OHfPK5-Xpz_OLuql98ur88Wy9oJKnLdW91baF0Hreh0q1aOc02dBN01qxaB9g1rpOIKHQOnNHJQ3HWayw7L7MVx9WmfW37xMGHKZvDJ4XZrRwxTMoJJoQAEiIJ-_A-9L1eP5TojqNIAUrSyUHxPuRhSitibXfSDjU-GUTNXYfZVGDprrsJAMYm9KRV4XGN8iX7F9Qw0I4zA</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Jeet, Pawan</creator><creator>Singh, Anil Kumar</creator><creator>Upadhyaya, Ashutosh</creator><creator>Das, Anup</creator><creator>Kumar, Rakesh</creator><creator>Sundaram, Prem Kumar</creator><creator>Kumari, Arti</creator><creator>Saurabh, Kirti</creator><creator>Singh, Deepak</creator><creator>Kumar, Prem Pal</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0003-0959-0417</orcidid></search><sort><creationdate>20240601</creationdate><title>A Multivariate Geomorphometric Approach to Prioritize Drought Prone Sakri Basin for Land and Water Resource Management</title><author>Jeet, Pawan ; Singh, Anil Kumar ; Upadhyaya, Ashutosh ; Das, Anup ; Kumar, Rakesh ; Sundaram, Prem Kumar ; Kumari, Arti ; Saurabh, Kirti ; Singh, Deepak ; Kumar, Prem Pal</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c303t-fa8fa49cb493b896dc2280c548b7d9e40f7175626ec14c68e2462cb825be2cbf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>basins</topic><topic>climate</topic><topic>Climate variability</topic><topic>Drought</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>fauna</topic><topic>Flora</topic><topic>Geomorphology</topic><topic>morphometry</topic><topic>Multivariate analysis</topic><topic>Natural resource management</topic><topic>Natural resources</topic><topic>Parameters</topic><topic>principal component analysis</topic><topic>Principal components analysis</topic><topic>prioritization</topic><topic>Ranking</topic><topic>Remote Sensing/Photogrammetry</topic><topic>Research Article</topic><topic>risk</topic><topic>Soil conservation</topic><topic>Soil moisture</topic><topic>Soil structure</topic><topic>Soil water</topic><topic>subwatersheds</topic><topic>Water conservation</topic><topic>Water resources management</topic><topic>Water shortages</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jeet, Pawan</creatorcontrib><creatorcontrib>Singh, Anil Kumar</creatorcontrib><creatorcontrib>Upadhyaya, Ashutosh</creatorcontrib><creatorcontrib>Das, Anup</creatorcontrib><creatorcontrib>Kumar, Rakesh</creatorcontrib><creatorcontrib>Sundaram, Prem Kumar</creatorcontrib><creatorcontrib>Kumari, Arti</creatorcontrib><creatorcontrib>Saurabh, Kirti</creatorcontrib><creatorcontrib>Singh, Deepak</creatorcontrib><creatorcontrib>Kumar, Prem Pal</creatorcontrib><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Journal of the Indian Society of Remote Sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jeet, Pawan</au><au>Singh, Anil Kumar</au><au>Upadhyaya, Ashutosh</au><au>Das, Anup</au><au>Kumar, Rakesh</au><au>Sundaram, Prem Kumar</au><au>Kumari, Arti</au><au>Saurabh, Kirti</au><au>Singh, Deepak</au><au>Kumar, Prem Pal</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Multivariate Geomorphometric Approach to Prioritize Drought Prone Sakri Basin for Land and Water Resource Management</atitle><jtitle>Journal of the Indian Society of Remote Sensing</jtitle><stitle>J Indian Soc Remote Sens</stitle><date>2024-06-01</date><risdate>2024</risdate><volume>52</volume><issue>6</issue><spage>1297</spage><epage>1314</epage><pages>1297-1314</pages><issn>0255-660X</issn><eissn>0974-3006</eissn><abstract>Soil and water resource management is a serious concern in respect of climate variability to increase soil moisture and fulfil the need of living population and flora and fauna. In the context of basin, prioritization of sub-watershed has gained significance in the natural resource management. The study prioritized the sub-watershed of the Sakri basin using a multivariate geomorphometric approach. The basin resulted in the formation of 11 sub-watersheds. Measurement of basic and derived morphometric parameter was considered, and 17 parameters have been taken for ranking and priority of sub-watershed. The morphometric analysis and principal component analysis (PCA) approaches were employed for ranking and prioritization of sub-watershed, based on high correlated parameters. Based on the results of morphometric analysis and PCA, sub-watersheds were categorized in high, medium and low priority. Among a total of 11 sub-watersheds, sub-watershed (SW) 3, 5, 6, 8 and 9 falling under high priority, which accounting to 46.82% of the basin. The high priority sub-watershed is at a higher risk of erosion which needs instantaneous soil and water conservation measures for betterment of basin morphometry and minimizes drought conditions. Results of the two approaches show that morphometric-based prioritization is more reliable and better in decision making for soil and water conservation planning at the sub-watershed level. Overall, these results are highly relevant in planning and developing of suitable soil and water conservation structures for mitigation and prevention in the region.</abstract><cop>New Delhi</cop><pub>Springer India</pub><doi>10.1007/s12524-024-01884-4</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0003-0959-0417</orcidid></addata></record> |
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subjects | basins climate Climate variability Drought Earth and Environmental Science Earth Sciences fauna Flora Geomorphology morphometry Multivariate analysis Natural resource management Natural resources Parameters principal component analysis Principal components analysis prioritization Ranking Remote Sensing/Photogrammetry Research Article risk Soil conservation Soil moisture Soil structure Soil water subwatersheds Water conservation Water resources management Water shortages Watersheds |
title | A Multivariate Geomorphometric Approach to Prioritize Drought Prone Sakri Basin for Land and Water Resource Management |
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