Water Resources Assessment of China's Transboundary River Basins Using a Machine Learning Approach-Reference-Cited by-同舟云学术

Water Resources Assessment of China's Transboundary River Basins Using a Machine Learning Approach

Published:2019-01 Issue:1 Volume:55 Page:632-655
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Yan Jiabao¹²,Jia Shaofeng¹³⁴^ORCID,Lv Aifeng¹²,Zhu Wenbin¹^ORCID

Affiliation:

1. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Science and Natural Resources ResearchChinese Academy of Sciences Beijing China

2. University of Chinese Academy of Sciences Beijing China

3. Key Laboratory of Basin Water Cycle and Ecology of Qinghai Province Xining China

4. Qinghai Normal University Xining China

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018WR023044

Reference113 articles.

1. A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model

2. Multi-time scale stream flow predictions: The support vector machines approach

3. The glaciers of the Hindu Kush Himalayas: current status and observed changes from the 1980s to 2010

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