Publication:
Groundwater level prediction for excessive agricultural irrigation to achieve SDGs: Vulnerability assessment using field-based empirical method

Simple item page
dc.citedby1
dc.contributor.authorRuidas D.en_US
dc.contributor.authorPal S.C.en_US
dc.contributor.authorSaha A.en_US
dc.contributor.authorPande C.B.en_US
dc.contributor.authorIslam A.en_US
dc.contributor.authorIslam A.R.M.T.en_US
dc.contributor.authorid57226346641en_US
dc.contributor.authorid57208776491en_US
dc.contributor.authorid57218365417en_US
dc.contributor.authorid57193547008en_US
dc.contributor.authorid57220782569en_US
dc.contributor.authorid57218543677en_US
dc.date.accessioned2025-03-03T07:42:15Z
dc.date.available2025-03-03T07:42:15Z
dc.date.issued2024
dc.description.abstractExcessive 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo101304
dc.identifier.doi10.1016/j.gsd.2024.101304
dc.identifier.scopus2-s2.0-85200103955
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85200103955&doi=10.1016%2fj.gsd.2024.101304&partnerID=40&md5=b4459ba1bd4f2d8e7e2b153077e1cfab
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36401
dc.identifier.volume26
dc.publisherElsevier B.V.en_US
dc.sourceScopus
dc.sourcetitleGroundwater for Sustainable Development
dc.subjectIndia
dc.subjectMurshidabad
dc.subjectWest Bengal
dc.subjectAtmospheric thermodynamics
dc.subjectGroundwater resources
dc.subjectIrrigation
dc.subjectWater levels
dc.subjectWater management
dc.subject'current
dc.subjectGround water depths
dc.subjectGround water level
dc.subjectGround water recharge
dc.subjectGroundwater trend
dc.subjectMann-Kendall test
dc.subjectModified mann kendall test
dc.subjectMurshidabad
dc.subjectSDG-6
dc.subjectWater-level fluctuation
dc.subjectempirical analysis
dc.subjectGIS
dc.subjectgroundwater
dc.subjectirrigation
dc.subjectprediction
dc.subjectrecharge
dc.subjectSustainable Development Goal
dc.subjecttrend analysis
dc.subjectvulnerability
dc.subjectwater depth
dc.subjectwater level
dc.subjectRecharging (underground waters)
dc.titleGroundwater level prediction for excessive agricultural irrigation to achieve SDGs: Vulnerability assessment using field-based empirical methoden_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS