Data-Driven Insights into Climate Change Effects on Groundwater Levels Using Machine Learning
Zhongkai University of Agriculture and Engineering · Nankai University · +4 more institutions
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
46
total citations
- FWCI
- 29.26
- Percentile
- 100%
- References
- 56
Citations per year
Authors
6- XLXueqiang LuCorresponding
Zhongkai University of Agriculture and Engineering
- ZWZimo Wang
Nankai University
- MZMenghao Zhao
Qingdao University
- SPSongzhe Peng
Nanjing University of Posts and Telecommunications
- SGSong Geng
Shanghai Normal University
Topics & keywords
Topics
Keywords
- Hydrogeology
- Climate change
- Groundwater
- Environmental science
- Hydrology (agriculture)
- Computer science
- Water resource management
- Geology
UN Sustainable Development Goals
- Climate action
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