Groundwater level prediction for excessive agricultural irrigation to achieve SDGs: Vulnerability assessment using field-based empirical method
Excessive over-drafting and unsystematic management of groundwater brings different geo-environmental problems; thus precise prediction of groundwater (GW) status in large scale becomes prime concern for efficient GW management. This present study primarily focused on estimating the current groundwa...
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Elsevier B.V.
2025
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| author | Ruidas D. Pal S.C. Saha A. Pande C.B. Islam A. Islam A.R.M.T. |
| author2 | 57226346641 |
| author_facet | 57226346641 Ruidas D. Pal S.C. Saha A. Pande C.B. Islam A. Islam A.R.M.T. |
| author_sort | Ruidas D. |
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| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Excessive over-drafting and unsystematic management of groundwater brings different geo-environmental problems; thus precise prediction of groundwater (GW) status in large scale becomes prime concern for efficient GW management. This present study primarily focused on estimating the current groundwater status of agro-rich Murshidabad district using a GIS-based empirical approach including trend analysis of groundwater depth (2001?2021) by using Modified Mann Kendall test (MMKT) and Sen's slope estimator; the most prominent water level fluctuation (WLF) method employed in the estimation of groundwater recharge scenario of the last three decades. The groundwater recharge potential zone (GWRPZ) also delineated through widely used logistic regression (LR) method. The current research depicts that eight CD Blocks and twenty-five CD Blocks out of twenty-six CD Blocks are facing notable declining trend in groundwater depth in pre-monsoon and post-monsoon period accordingly, with a 95% confidence level; the lowering down of groundwater recharge (GWR) also alarming, the recharge amount in 2001, 2011 and 2021 was 210958.70 ham, 240168.80 ham and 201921.90 ham respectively due to variability in rainfall; the predicted GWRPZ shows that 674 (12.6%) Km2 and 1392 Km2 (26.02%) come under very high and high recharge zone which is predominantly found in the eastern and south-eastern part of this study region, validated through most reliable method Receiver Operating Characteristics (ROC) and Area Under Curve (AUC) with 0.954 value. Unsystematic over-drafting of groundwater and intense cropping intensity are severely responsible for this alarming condition. Thus, sustainable groundwater management is essential to fulfil SDG-6 by ensuring SDG-2 and policymakers and planners will be benefited from this study in formulating the proper mitigation measures for this agronomic Murshidabad district. ? 2024 Elsevier B.V. |
| format | Article |
| id | my.uniten.dspace-36401 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Elsevier B.V. |
| record_format | dspace |
| spelling | my.uniten.dspace-364012025-03-03T15:42:15Z Groundwater level prediction for excessive agricultural irrigation to achieve SDGs: Vulnerability assessment using field-based empirical method Ruidas D. Pal S.C. Saha A. Pande C.B. Islam A. Islam A.R.M.T. 57226346641 57208776491 57218365417 57193547008 57220782569 57218543677 India Murshidabad West Bengal Atmospheric thermodynamics Groundwater resources Irrigation Water levels Water management 'current Ground water depths Ground water level Ground water recharge Groundwater trend Mann-Kendall test Modified mann kendall test Murshidabad SDG-6 Water-level fluctuation empirical analysis GIS groundwater irrigation prediction recharge Sustainable Development Goal trend analysis vulnerability water depth water level Recharging (underground waters) Excessive over-drafting and unsystematic management of groundwater brings different geo-environmental problems; thus precise prediction of groundwater (GW) status in large scale becomes prime concern for efficient GW management. This present study primarily focused on estimating the current groundwater status of agro-rich Murshidabad district using a GIS-based empirical approach including trend analysis of groundwater depth (2001?2021) by using Modified Mann Kendall test (MMKT) and Sen's slope estimator; the most prominent water level fluctuation (WLF) method employed in the estimation of groundwater recharge scenario of the last three decades. The groundwater recharge potential zone (GWRPZ) also delineated through widely used logistic regression (LR) method. The current research depicts that eight CD Blocks and twenty-five CD Blocks out of twenty-six CD Blocks are facing notable declining trend in groundwater depth in pre-monsoon and post-monsoon period accordingly, with a 95% confidence level; the lowering down of groundwater recharge (GWR) also alarming, the recharge amount in 2001, 2011 and 2021 was 210958.70 ham, 240168.80 ham and 201921.90 ham respectively due to variability in rainfall; the predicted GWRPZ shows that 674 (12.6%) Km2 and 1392 Km2 (26.02%) come under very high and high recharge zone which is predominantly found in the eastern and south-eastern part of this study region, validated through most reliable method Receiver Operating Characteristics (ROC) and Area Under Curve (AUC) with 0.954 value. Unsystematic over-drafting of groundwater and intense cropping intensity are severely responsible for this alarming condition. Thus, sustainable groundwater management is essential to fulfil SDG-6 by ensuring SDG-2 and policymakers and planners will be benefited from this study in formulating the proper mitigation measures for this agronomic Murshidabad district. ? 2024 Elsevier B.V. Final 2025-03-03T07:42:15Z 2025-03-03T07:42:15Z 2024 Article 10.1016/j.gsd.2024.101304 2-s2.0-85200103955 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200103955&doi=10.1016%2fj.gsd.2024.101304&partnerID=40&md5=b4459ba1bd4f2d8e7e2b153077e1cfab https://irepository.uniten.edu.my/handle/123456789/36401 26 101304 Elsevier B.V. Scopus |
| spellingShingle | India Murshidabad West Bengal Atmospheric thermodynamics Groundwater resources Irrigation Water levels Water management 'current Ground water depths Ground water level Ground water recharge Groundwater trend Mann-Kendall test Modified mann kendall test Murshidabad SDG-6 Water-level fluctuation empirical analysis GIS groundwater irrigation prediction recharge Sustainable Development Goal trend analysis vulnerability water depth water level Recharging (underground waters) Ruidas D. Pal S.C. Saha A. Pande C.B. Islam A. Islam A.R.M.T. Groundwater level prediction for excessive agricultural irrigation to achieve SDGs: Vulnerability assessment using field-based empirical method |
| title | Groundwater level prediction for excessive agricultural irrigation to achieve SDGs: Vulnerability assessment using field-based empirical method |
| title_full | Groundwater level prediction for excessive agricultural irrigation to achieve SDGs: Vulnerability assessment using field-based empirical method |
| title_fullStr | Groundwater level prediction for excessive agricultural irrigation to achieve SDGs: Vulnerability assessment using field-based empirical method |
| title_full_unstemmed | Groundwater level prediction for excessive agricultural irrigation to achieve SDGs: Vulnerability assessment using field-based empirical method |
| title_short | Groundwater level prediction for excessive agricultural irrigation to achieve SDGs: Vulnerability assessment using field-based empirical method |
| title_sort | groundwater level prediction for excessive agricultural irrigation to achieve sdgs: vulnerability assessment using field-based empirical method |
| topic | India Murshidabad West Bengal Atmospheric thermodynamics Groundwater resources Irrigation Water levels Water management 'current Ground water depths Ground water level Ground water recharge Groundwater trend Mann-Kendall test Modified mann kendall test Murshidabad SDG-6 Water-level fluctuation empirical analysis GIS groundwater irrigation prediction recharge Sustainable Development Goal trend analysis vulnerability water depth water level Recharging (underground waters) |
| url_provider | http://dspace.uniten.edu.my/ |