Assessment of Drought vulnerability through an integrated approach using AHP and Geoinformatics in the Kangsabati River Basin
This study focuses on the application of multi-sensor satellite archived data products and ancillary data for the evaluation of drought vulnerability. The use of a subjective model, namely Analytical Hierarchy Process (AHP) integrated with Geographical Information System (GIS) and various influencin...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Journal of King Saud University: Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1018364722005134 |
| _version_ | 1811255776217399296 |
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| author | Raied Saad Alharbi Shaminee Nath O. Mohammed Faizan Mohd Sayeed Ul Hasan Shamshad Alam Mohammad Amir Khan Sayantan Bakshi Mehebub Sahana Mufti Mohammad Saif |
| author_facet | Raied Saad Alharbi Shaminee Nath O. Mohammed Faizan Mohd Sayeed Ul Hasan Shamshad Alam Mohammad Amir Khan Sayantan Bakshi Mehebub Sahana Mufti Mohammad Saif |
| author_sort | Raied Saad Alharbi |
| collection | DOAJ |
| description | This study focuses on the application of multi-sensor satellite archived data products and ancillary data for the evaluation of drought vulnerability. The use of a subjective model, namely Analytical Hierarchy Process (AHP) integrated with Geographical Information System (GIS) and various influencing parameters, emerged as a powerful tool for the gauged and ungauged watershed. The Kangsabati river basin, located in the southern part of West Bengal (India), is facing issues of overexploitation of groundwater, climate variation, and unsystematic agricultural practices that are inducing the water crisis and vulnerability of the basin to drought conditions. In this study, 11 parameters, namely elevation, slope, aspect, LULC, population density, normalized difference vegetation index (NDVI), normalized difference drought index (NDDI), land surface temperature (LST), normalized difference water index (NDWI), vegetation condition index (VCI), and soil moisture index (SMI) were used to delineate the drought in the catchment of Kangsabati River. Findings of this study using Analytical Hierarchy Process (AHP) integrated with a GIS platform, show that, nearly 28.5% of the area falls under the medium drought category, followed by the high (21.1%), no drought (20%), low (19.5%), and very high (10.6%) drought categories in the study area. The study also suggests Nature Based Solution (NBS) in Disaster Risk Reduction (DRR) strategies such as ecosystem-based approaches (EBA) and blue infrastructure for Drought Risk Reduction for drought mitigation in the study area. |
| first_indexed | 2024-04-12T17:30:11Z |
| format | Article |
| id | doaj.art-57df70330f49489494cd5e2eb56dd5ef |
| institution | Directory Open Access Journal |
| issn | 1018-3647 |
| language | English |
| last_indexed | 2024-04-12T17:30:11Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Science |
| spelling | doaj.art-57df70330f49489494cd5e2eb56dd5ef2022-12-22T03:23:10ZengElsevierJournal of King Saud University: Science1018-36472022-11-01348102332Assessment of Drought vulnerability through an integrated approach using AHP and Geoinformatics in the Kangsabati River BasinRaied Saad Alharbi0Shaminee Nath1O. Mohammed Faizan2Mohd Sayeed Ul Hasan3Shamshad Alam4Mohammad Amir Khan5Sayantan Bakshi6Mehebub Sahana7Mufti Mohammad Saif8Department of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaDepartment of Geography, University of Calcutta, Kolkata, IndiaInstitute of Remote Sensing, College of Engineering Guindy, Anna University, Chennai 600025, Tamil Nadu, IndiaDepartment of Civil Engineering, Aliah University, New Town, Kolkata 700160, India; Corresponding authors.Department of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaDepartment of Civil Engineering, Galgotias College of Engineering & Technology, Greater Noida-201310, Uttar Pradesh, India; Corresponding authors.Department of Electronic Science, University of Calcutta, 700091, IndiaDepartment of Geography, School of Environment, Education & Development, The University of Manchester, Oxford Road, Manchester M13 9PL, United KingdomDepartment of Civil Engineering, Aliah University, New Town, Kolkata 700160, IndiaThis study focuses on the application of multi-sensor satellite archived data products and ancillary data for the evaluation of drought vulnerability. The use of a subjective model, namely Analytical Hierarchy Process (AHP) integrated with Geographical Information System (GIS) and various influencing parameters, emerged as a powerful tool for the gauged and ungauged watershed. The Kangsabati river basin, located in the southern part of West Bengal (India), is facing issues of overexploitation of groundwater, climate variation, and unsystematic agricultural practices that are inducing the water crisis and vulnerability of the basin to drought conditions. In this study, 11 parameters, namely elevation, slope, aspect, LULC, population density, normalized difference vegetation index (NDVI), normalized difference drought index (NDDI), land surface temperature (LST), normalized difference water index (NDWI), vegetation condition index (VCI), and soil moisture index (SMI) were used to delineate the drought in the catchment of Kangsabati River. Findings of this study using Analytical Hierarchy Process (AHP) integrated with a GIS platform, show that, nearly 28.5% of the area falls under the medium drought category, followed by the high (21.1%), no drought (20%), low (19.5%), and very high (10.6%) drought categories in the study area. The study also suggests Nature Based Solution (NBS) in Disaster Risk Reduction (DRR) strategies such as ecosystem-based approaches (EBA) and blue infrastructure for Drought Risk Reduction for drought mitigation in the study area.http://www.sciencedirect.com/science/article/pii/S1018364722005134DroughtLand useGISNature based solutionGroundwater |
| spellingShingle | Raied Saad Alharbi Shaminee Nath O. Mohammed Faizan Mohd Sayeed Ul Hasan Shamshad Alam Mohammad Amir Khan Sayantan Bakshi Mehebub Sahana Mufti Mohammad Saif Assessment of Drought vulnerability through an integrated approach using AHP and Geoinformatics in the Kangsabati River Basin Journal of King Saud University: Science Drought Land use GIS Nature based solution Groundwater |
| title | Assessment of Drought vulnerability through an integrated approach using AHP and Geoinformatics in the Kangsabati River Basin |
| title_full | Assessment of Drought vulnerability through an integrated approach using AHP and Geoinformatics in the Kangsabati River Basin |
| title_fullStr | Assessment of Drought vulnerability through an integrated approach using AHP and Geoinformatics in the Kangsabati River Basin |
| title_full_unstemmed | Assessment of Drought vulnerability through an integrated approach using AHP and Geoinformatics in the Kangsabati River Basin |
| title_short | Assessment of Drought vulnerability through an integrated approach using AHP and Geoinformatics in the Kangsabati River Basin |
| title_sort | assessment of drought vulnerability through an integrated approach using ahp and geoinformatics in the kangsabati river basin |
| topic | Drought Land use GIS Nature based solution Groundwater |
| url | http://www.sciencedirect.com/science/article/pii/S1018364722005134 |
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