Application of Particle Swarm Optimization for Auto-Tuning of the Urban Flood Model

Application of Particle Swarm Optimization for Auto-Tuning of the Urban Flood Model

Reliable time-efficient prediction of urban floods is one of the essential tasks for planning of disaster prevention and mitigation measures. A key challenge of urban flood models is to obtain reliable input data. While geometric data can be directly measured, some other data, such as roughness and...

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Bibliographic Details
Main Authors: Lechuan Jiang, Yoshimitsu Tajima, Lianhui Wu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Water
Subjects:
particle swarm optimization
urban flood model
auto-tuning
Online Access:https://www.mdpi.com/2073-4441/14/18/2819

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