您当前的位置:
首页 >
文章列表页 >
Runoff Prediction and Uncertainty Analysis for Xijiang River Basin Based on CMIP6 Climate Scenarios
更新时间:2025-10-14
    • Runoff Prediction and Uncertainty Analysis for Xijiang River Basin Based on CMIP6 Climate Scenarios

    • “Under the influence of global climate change and human activities, floods and waterlogging disasters have occurred frequently in the Xijiang River Basin, and the runoff sequence has significantly changed. The study used Mann Kendall mutation test and univariate linear regression methods to reveal the non consistent characteristics of runoff sequences in the watershed. Based on CMIP6 climate model data, the BCSD downscaling method was used to drive the XAJ hydrological model, revealing the future changes in water resources in the watershed. The research results provide important scientific basis for the rational planning, allocation, and utilization of water resources in the basin.”
    • PEARL RIVER   Vol. 46, Issue 7, Pages: 11-19(2025)
    • DOI:10.3969/j.issn.1001-9235.2025.07.002    

      CLC: TV214
    • Received:08 December 2024,

      Revised:2025-01-08,

      Accepted:09 January 2025,

      Published Online:22 January 2025,

      Published:25 July 2025

    移动端阅览

  • WU Huiming,YAN Meng,ZHOU Shuai.Runoff Prediction and Uncertainty Analysis for Xijiang River Basin Based on CMIP6 Climate Scenarios[J].PEARL RIVER,2025,46(07):11-19. DOI: 10.3969/j.issn.1001-9235.2025.07.002.

  •  
  •  

0

Views

4

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Hydrological Simulation and Prediction of Typical Tributaries in Songhua River Basin Based on CMIP6 Climate Scenarios: A Case Study of Ant River Basin
Study on Hydrological Prediction of Qingshui River Basin Based on PRECIS Regional Climate Model
Application of Improved LSTM Model in Runoff Simulation in Arid Region of Northwest China: A Case Study of the Zuli River
Runoff Evolution Patterns and Attribution Analysis in Xiliu Songhua River Basin

Related Author

WU Huiming
YAN Meng
ZHOU Shuai
GONG Xiao
DAI Changlei
LI Shuling
LI Chunshuang
MA Wenjing

Related Institution

Guangzhou Pearl Science Institute Engineering Survey and Design Co., Ltd.
Pearl River Water Resources Research Institute, Pearl River Water Resources Commission
School of Water Conservancy and Hydroelectric Power, Hebei University of Engineering
School of Heilongjiang River and Lake Management
School of Hydraulic and Electric-Power, Heilongjiang University
0