Editorial—Advances in Machine Learning and Artificial Intelligence Technologies for Hydrological Processes and Hydrologic Disasters
Year: 2026
Type: editorial
Abstract: Hydrological processes are highly nonlinear and exhibit considerable spatial and temporal variability [...]
Source: Water
DOI: 10.3390/w18222801
Author: Huaxiang Yan
Institution: Fuzhou University
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
OpenAlex ID: W7225732079