Downscaling of Precipitation for Climate Change Projections Using Multiple Machine Learning Techniques: Case Study of Shenzhen City, China-Reference-Cited by-同舟云学术

Downscaling of Precipitation for Climate Change Projections Using Multiple Machine Learning Techniques: Case Study of Shenzhen City, China

Published:2022-11 Issue:11 Volume:148 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Han Jing-Cheng¹,Zheng Wenting²,Liu Zhe³,Zhou Yang⁴,Huang Yuefei⁵,Li Bing⁶

Affiliation:

1. Assistant Professor, Water Science and Environmental Engineering Research Center, College of Chemical and Environmental Engineering, Shenzhen Univ., Shenzhen 518060, China.

2. Graduate Student, Water Science and Environmental Engineering Research Center, College of Chemical and Environmental Engineering, Shenzhen Univ., Shenzhen 518060, China.

3. Research Assistant, State Key Laboratory of Hydroscience and Engineering, Dept. of Hydraulic Engineering, Tsinghua Univ., Beijing 100084, China.

4. Senior Research Fellow, Water Science and Environmental Engineering Research Center, College of Chemical and Environmental Engineering, Shenzhen Univ., Shenzhen 518060, China; Research Fellow, State Key Laboratory of Hydroscience and Engineering, Dept. of Hydraulic Engineering, Tsinghua Univ., Beijing 100084, China.

5. Professor, State Key Laboratory of Hydroscience and Engineering, Dept. of Hydraulic Engineering, Tsinghua Univ., Beijing 100084, China; Professor, State Key Laboratory of Plateau Ecology and Agriculture, Qinghai Univ., Xining 810016, China (corresponding author).

6. Assistant Professor, Water Research Center, Tsinghua International Graduate School, Tsinghua Univ., Shenzhen 518055, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001612

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