Arid
DOI10.1007/s10668-022-02512-2
Examining the groundwater level in a semi-arid district of eastern India: spatiotemporal trends, determinants, and future prospects
Goswami, Tarun; Ghosal, Somnath
通讯作者Goswami, T
来源期刊ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
ISSN1387-585X
EISSN1573-2975
出版年2023
卷号25期号:10页码:10929-10953
英文摘要The present study aims to examine the spatio-temporal and seasonal fluctuation of groundwater levels in an eastern Indian semi-arid region. Also, it attempted to investigate the involvement of different significant groundwater usage factors in causing such variations and trends. Furthermore, by evaluating temporal patterns and the influence of the crucial drivers, generate meaningful predictions for raising community awareness about the future. A combination of statistical, spatial analysis, and machine learning techniques were used to fulfill the objectives. Overall, the findings revealed that the south-eastern corner (consisting of Bundwan and Barabazar Blocks), the far western region (especially Jhalda I and II Blocks), and some of the eastern Blocks are most vulnerable to groundwater scarcity. The monitoring stations in this region are typically suffering a significant declining trend in groundwater level, with a substantial amount of Sen's Slope. In contrast, the centrally positioned Blocks have lesser susceptibility. The MLR analysis and spatial thematic maps demonstrate a strong association between this spatial pattern of declining groundwater table and the groundwater drivers in consideration. Thus, it is acceptable to suggest that drivers from the human world must be included in the groundwater management planning of the Purulia district. Finally, the predictions from the time series confirm that if no interventions are implemented, the average groundwater level will decline by 2.5 m by 2030. Therefore, Purulia urgently requires a realistic plan to prevent future generations from becoming refugees in their own land.
英文关键词Groundwater depletion Mann-Kendall trend test Groundwater usage factors Multiple linear regression Neural network model
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000819720500002
WOS关键词RIVER-BASIN ; WATER ; IDENTIFICATION ; ZONES
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/396087
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Goswami, Tarun,Ghosal, Somnath. Examining the groundwater level in a semi-arid district of eastern India: spatiotemporal trends, determinants, and future prospects[J],2023,25(10):10929-10953.
APA Goswami, Tarun,&Ghosal, Somnath.(2023).Examining the groundwater level in a semi-arid district of eastern India: spatiotemporal trends, determinants, and future prospects.ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY,25(10),10929-10953.
MLA Goswami, Tarun,et al."Examining the groundwater level in a semi-arid district of eastern India: spatiotemporal trends, determinants, and future prospects".ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY 25.10(2023):10929-10953.
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