Assessing the Effects of Climate Change and Land‐Use Changes on Extreme Discharge in the Western Watershed of Lake Urmia, Iran

ABSTRACT This study investigates the impacts of climate change and land‐use changes on peak discharge and runoff behavior in the western watersheds of Lake Urmia, Iran. Employing machine learning algorithms (e.g., SVM), stochastic models (e.g., CA‐MARKOV), ERA5 reanalysis climate data, and the large...

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Bibliographic Details

Published in:	Journal of Flood Risk Management
Main Authors:	Ghasem Farahmand, Behzad Hessari, Hossein Salehi
Format:	Article
Language:	English
Published:	Wiley 2025-06-01
Subjects:	CanESM2 climate and land‐use prediction CMIP5 high flow analysis machine learning VIC
Online Access:	https://doi.org/10.1111/jfr3.70037