The Layout Optimization of low-impact Development Facilities is Based on a Multi-Objective Genetic Algorithm and the SWMM Model The Layout Optimization of low-impact Development Facilities is Based on a Multi-Objective Genetic Algorithm and the SWMM Model

The intensifying impermeability caused by urbanization has led to frequent global flood disasters. In order to mitigate the impact, low-impact development (LID) technology is employed to maintain urban underlays closer to their pre-development state through distributed rainwater control. However, th...

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Bibliographic Details
Published in:	Water resources management Vol. 39; no. 7; pp. 2993 - 3014
Main Authors:	Wang, Xiaoyue, Sun, Wenzhuo, Lan, Yumeng, Ge, Xiaoyu
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.05.2025 Springer Nature B.V
Subjects:	Algorithms Atmospheric Sciences Cities Civil Engineering Disasters Earth and Environmental Science Earth Sciences Empirical analysis Environment Facilities management Genetic algorithms Geotechnical Engineering & Applied Earth Sciences Green infrastructure Hydrogeology Hydrologic models Hydrology Hydrology/Water Resources Layouts Multiple objective analysis Optimization Pareto optimization Pareto optimum Permeability Rain Rain water Rainfall Runoff Social factors Sorting algorithms Urbanization Sponge city NSGA-II SWMM Low Impact Development Facilities Multi-objective Optimization
ISSN:	0920-4741, 1573-1650
Online Access:	Get full text
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