Optimal spatial priority scheme of urban LID-BMPs under different investment periods

•The control objectives are decomposed using an objective decomposition algorithm.•The suitable positions of LID-BMPs are identified using a topographic index model.•The multi-objective LID-BMPs are allocated using an adaptive differential evolution algorithm.•The multistage layout planning is based...

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Bibliographic Details
Published in:Landscape and urban planning Vol. 202; p. 103858
Main Authors: Hou, Jingwei, Zhu, Moyan, Wang, Yanjuan, Sun, Shiqin
Format: Journal Article
Language:English
Published: Elsevier B.V 01.10.2020
Subjects:
Adaptive differential evolution algorithm
algorithms
China
Geographic information system
landscapes
LID-BMPs
Optimization
pollution
rain
runoff
soil water
Spatial construction sequence
system optimization
topography
China
Adaptive differential evolution algorithm
Geographic information system
Optimization
Spatial construction sequence
LID-BMPs
ISSN:0169-2046, 1872-6062
Online Access:Get full text
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Summary:•The control objectives are decomposed using an objective decomposition algorithm.•The suitable positions of LID-BMPs are identified using a topographic index model.•The multi-objective LID-BMPs are allocated using an adaptive differential evolution algorithm.•The multistage layout planning is based on the pixel scale with high resolution.•The optimal spatial priority schemes of LID-BMPs are obtained under different investment periods. The optimal spatial layout of low impact development best management practices (LID-BMPs) can be used to inform LID-BMP construction to prioritize resources to achieve the highest comprehensive benefits. An objective decomposition algorithm is designed to decompose the control objectives of total rainwater runoff, peak discharge, pollution reduction and rainwater utilization for each pixel of a raster image. A type selection algorithm is then designed to optimize the types of LID-BMPs deployed in each pixel. The most suitable positions for the construction of LID-BMPs are identified using a topographic index model to determine spatial priority level of LID-BMP construction sequence. A multi-objective model, including the maximum average reduction ratios of runoff and pollution and minimum total cost, is constructed. An adaptive differential evolution algorithm (ADEA) is designed to solve the multi-objective optimization problem. The optimal grid-based priority scheme is obtained for high-resolution spatial planning. It is shown that the most suitable positions for implementing LID-BMPs are located in regions with negative soil moisture deficits. Optimal total cost and reduction ratios of runoff and pollution to construct LID-BMPs in Yinchuan, China are $49,463,516, and 0.46 and 0.38 in the first priority scheme; $50,920,496, and 0.74 and 0.62 in the second priority scheme; and $99,207,806, and 0.92 and 0.86 in the third priority scheme. The optimal spatial priority schemes of LID-BMPs obtained from the ADEA can maintain the maximum runoff and pollution controls under different investment periods.
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ISSN:0169-2046
1872-6062
DOI:10.1016/j.landurbplan.2020.103858