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发表于 2025-3-21 18:27:09 | 显示全部楼层 |阅读模式
书目名称Groundwater
编辑Vijay P Singh,Shalini Yadav,Ram Narayan Yadava
视频video
丛书名称Water Science and Technology Library
图书封面Titlebook: ;
出版日期Conference proceedings 2018
版次1
doihttps://doi.org/10.1007/978-981-10-5789-2
isbn_softcover978-981-13-5490-8
isbn_ebook978-981-10-5789-2Series ISSN 0921-092X Series E-ISSN 1872-4663
issn_series 0921-092X
The information of publication is updating

书目名称Groundwater影响因子(影响力)




书目名称Groundwater影响因子(影响力)学科排名




书目名称Groundwater网络公开度




书目名称Groundwater网络公开度学科排名




书目名称Groundwater被引频次




书目名称Groundwater被引频次学科排名




书目名称Groundwater年度引用




书目名称Groundwater年度引用学科排名




书目名称Groundwater读者反馈




书目名称Groundwater读者反馈学科排名




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发表于 2025-3-21 20:24:49 | 显示全部楼层
Spatio-Temporal Variation and Trend Analysis of Groundwater Level in Raipur City, Chhattisgarhereas deeper GWL has been observed in western and northern part of the city. The groundwater contour maps depict that the groundwater flow direction is towards north and west. The results of trend analysis reveal that no significant trend is detected at 5% significance level except few locations.
发表于 2025-3-22 03:33:17 | 显示全部楼层
Spatiotemporal Relationship Linking Land Use/Land Cover with Groundwater Levelocations (29 wells) all over the district and created a continuous surface using interpolation with the estimate of error. LULC map of 2003 and 2013 was derived from classification of TM images using supervised, parametric maximum likelihood classifier. Area is broadly categorized into four classes,
发表于 2025-3-22 07:03:12 | 显示全部楼层
Groundwater System Modelling and Sensitivity of Groundwater Level Prediction in Indo-Gangetic Alluvirt of Sharda Sahayak Canal System in Uttar Pradesh. Visual MODFLOW was calibrated and validated for water level data available for 9 years (2005–2013). The effect of change in recharge rate and withdrawal rate is also investigated to predict the corresponding changes in water levels. Groundwater lev
发表于 2025-3-22 09:54:06 | 显示全部楼层
Assessing Aquifer Vulnerability Using GIS-Based DRASTIC Model Coupling with Hydrochemical Parametersmolar ratios. The results have recognized four aquifer vulnerability zones based on DRASTIC vulnerability index (DVI), which ranged from 39 to 132. It has been deduced that approximately 18, 25, 34, and 23% of the area lies in negligible, low, medium, and high vulnerability zones, respectively. It s
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