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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| Vydané v: | Landscape and urban planning Ročník 202; s. 103858 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier B.V
01.10.2020
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| ISSN: | 0169-2046, 1872-6062 |
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| Abstract | •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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| AbstractList | •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. 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. |
| ArticleNumber | 103858 |
| Author | Hou, Jingwei Sun, Shiqin Wang, Yanjuan Zhu, Moyan |
| Author_xml | – sequence: 1 givenname: Jingwei surname: Hou fullname: Hou, Jingwei email: hjwei2005@163.com organization: College of Resources and Environmental Science, Ningxia University, Yinchuan 750021, China – sequence: 2 givenname: Moyan surname: Zhu fullname: Zhu, Moyan organization: College of Resources and Environmental Science, Ningxia University, Yinchuan 750021, China – sequence: 3 givenname: Yanjuan surname: Wang fullname: Wang, Yanjuan organization: College of Resources and Environmental Science, Ningxia University, Yinchuan 750021, China – sequence: 4 givenname: Shiqin surname: Sun fullname: Sun, Shiqin organization: College of Resources and Environmental Science, Ningxia University, Yinchuan 750021, China |
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| Keywords | Adaptive differential evolution algorithm Geographic information system Optimization Spatial construction sequence LID-BMPs |
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| Snippet | •The control objectives are decomposed using an objective decomposition algorithm.•The suitable positions of LID-BMPs are identified using a topographic index... 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... |
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| SubjectTerms | Adaptive differential evolution algorithm algorithms China Geographic information system landscapes LID-BMPs Optimization pollution rain runoff soil water Spatial construction sequence system optimization topography |
| Title | Optimal spatial priority scheme of urban LID-BMPs under different investment periods |
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