Probabilistic modeling framework for flood risk assessment: A case study of Poldokhtar city

Probabilistic modeling framework for flood risk assessment: A case study of Poldokhtar city

Study region: Poldokhtar City is located on the bank of the Kashkan river in Iran. Study focus: This study presents a probabilistic modeling framework for flood risk assessment using Monte Carlo simulations. We developed a Machine Learning (ML)-based flood depth prediction model for Poldokhtar city...

Full description

Bibliographic Details
Main Authors: Oveys Ziya, Ammar Safaie
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Risk analysis
Monte Carlo simulation
Machine learning
Least squares support vector machine
Two-dimensional hydrodynamic modeling
Flood modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581823000800

Internet

http://www.sciencedirect.com/science/article/pii/S2214581823000800

Similar Items