Arid
DOI10.1109/IGARSS.2016.7729464
STATISTICAL ASSESSMENT OF GROUNDWATER RESOURCES AND LONG TERM TREND USING GEOSPATIAL TECHNIQUES
Agarwal, Rajat1; Garg, P. K.1,2
通讯作者Agarwal, Rajat
会议名称36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期JUL 10-15, 2016
会议地点Beijing, PEOPLES R CHINA
英文摘要

Groundwater level has been declined continuously due to overexploitation and mismanagement of water resources, which leads severe problem in arid and semi-arid regions of the world. Geostatistics and Geographical information system (GIS) are the efficient technology to manage the groundwater resources. In the present study Linear regression method and Mann Kendall's test are used with GIS technology to understand the spatio-temporal behavior of Ground Water Level (GWL) in Loni and Morahi watershed of Unnao and Rae Bareli district Uttar Pradesh, India and also estimates the groundwater resources as per Groundwater Estimation Committee (CGWB, 2012) guidelines and identifies that Sareni block of Rae Bareli district and Sikandarpur Karan block of Unnao district are fall in critical category. As for the results, in both pre-and post-monsoon seasons, 61% wells showed decreasing (falling) trends.


英文关键词GIS groundwater level geostatistics
来源出版物2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
ISSN2153-6996
出版年2016
页码1808-1811
EISBN978-1-5090-3332-4
出版者IEEE
类型Proceedings Paper
语种英语
国家India
收录类别CPCI-S
WOS记录号WOS:000388114601236
WOS类目Engineering, Electrical & Electronic ; Geosciences, Multidisciplinary ; Remote Sensing
WOS研究方向Engineering ; Geology ; Remote Sensing
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/305008
作者单位1.Indian Inst Technol, Dept Civil Engn, Geomat Engn, Roorkee 247667, Uttar Pradesh, India;
2.Uttarakhand Tech Univ, Dehra Dun, Uttar Pradesh, India
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Agarwal, Rajat,Garg, P. K.. STATISTICAL ASSESSMENT OF GROUNDWATER RESOURCES AND LONG TERM TREND USING GEOSPATIAL TECHNIQUES[C]:IEEE,2016:1808-1811.
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