Simulation and Reconstruction of Runoff in the High-Cold Mountains Area Based on Multiple Machine Learning Models

Simulation and Reconstruction of Runoff in the High-Cold Mountains Area Based on Multiple Machine Learning Models

Runoff from the high-cold mountains area (HCMA) is the most important water resource in the arid zone, and its accurate forecasting is key to the scientific management of water resources downstream of the basin. Constrained by the scarcity of meteorological and hydrological stations in the HCMA and...

Full description

Bibliographic Details
Main Authors: Shuyang Wang, Meiping Sun, Guoyu Wang, Xiaojun Yao, Meng Wang, Jiawei Li, Hongyu Duan, Zhenyu Xie, Ruiyi Fan, Yang Yang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Water
Subjects:
feature analysis
Hotan River Basin
high-cold mountains area
machine learning
runoff simulation and reconstruction
Online Access:https://www.mdpi.com/2073-4441/15/18/3222

Similar Items

Similar Items