Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/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) |
ISSN | 2153-6996 |
出版年 | 2016 |
页码 | 1808-1811 |
EISBN | 978-1-5090-3332-4 |
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 |
推荐引用方式 GB/T 7714 | 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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