Optimizing the layout of coupled grey-green stormwater infrastructure with multi-objective oriented decision making
In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic,...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yao, Yutong [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Self-assembled 3D hierarchical MnCO - Rajendiran, Rajmohan ELSEVIER, 2020, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:367 ; year:2022 ; day:20 ; month:09 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.jclepro.2022.133061 |
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ELV058579699 |
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| 520 | |a In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. | ||
| 520 | |a In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. | ||
| 650 | 7 | |a Monetization method |2 Elsevier | |
| 650 | 7 | |a Multi-objective optimization |2 Elsevier | |
| 650 | 7 | |a Optimal layout |2 Elsevier | |
| 650 | 7 | |a Grey-green infrastructure |2 Elsevier | |
| 700 | 1 | |a Li, Jiake |4 oth | |
| 700 | 1 | |a lv, Peng |4 oth | |
| 700 | 1 | |a Li, Ning |4 oth | |
| 700 | 1 | |a Jiang, Chunbo |4 oth | |
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10.1016/j.jclepro.2022.133061 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001935.pica (DE-627)ELV058579699 (ELSEVIER)S0959-6526(22)02651-8 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Yao, Yutong verfasserin aut Optimizing the layout of coupled grey-green stormwater infrastructure with multi-objective oriented decision making 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. Monetization method Elsevier Multi-objective optimization Elsevier Optimal layout Elsevier Grey-green infrastructure Elsevier Li, Jiake oth lv, Peng oth Li, Ning oth Jiang, Chunbo oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:367 year:2022 day:20 month:09 pages:0 https://doi.org/10.1016/j.jclepro.2022.133061 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 367 2022 20 0920 0 |
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10.1016/j.jclepro.2022.133061 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001935.pica (DE-627)ELV058579699 (ELSEVIER)S0959-6526(22)02651-8 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Yao, Yutong verfasserin aut Optimizing the layout of coupled grey-green stormwater infrastructure with multi-objective oriented decision making 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. Monetization method Elsevier Multi-objective optimization Elsevier Optimal layout Elsevier Grey-green infrastructure Elsevier Li, Jiake oth lv, Peng oth Li, Ning oth Jiang, Chunbo oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:367 year:2022 day:20 month:09 pages:0 https://doi.org/10.1016/j.jclepro.2022.133061 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 367 2022 20 0920 0 |
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10.1016/j.jclepro.2022.133061 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001935.pica (DE-627)ELV058579699 (ELSEVIER)S0959-6526(22)02651-8 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Yao, Yutong verfasserin aut Optimizing the layout of coupled grey-green stormwater infrastructure with multi-objective oriented decision making 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. Monetization method Elsevier Multi-objective optimization Elsevier Optimal layout Elsevier Grey-green infrastructure Elsevier Li, Jiake oth lv, Peng oth Li, Ning oth Jiang, Chunbo oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:367 year:2022 day:20 month:09 pages:0 https://doi.org/10.1016/j.jclepro.2022.133061 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 367 2022 20 0920 0 |
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10.1016/j.jclepro.2022.133061 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001935.pica (DE-627)ELV058579699 (ELSEVIER)S0959-6526(22)02651-8 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Yao, Yutong verfasserin aut Optimizing the layout of coupled grey-green stormwater infrastructure with multi-objective oriented decision making 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. Monetization method Elsevier Multi-objective optimization Elsevier Optimal layout Elsevier Grey-green infrastructure Elsevier Li, Jiake oth lv, Peng oth Li, Ning oth Jiang, Chunbo oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:367 year:2022 day:20 month:09 pages:0 https://doi.org/10.1016/j.jclepro.2022.133061 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 367 2022 20 0920 0 |
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10.1016/j.jclepro.2022.133061 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001935.pica (DE-627)ELV058579699 (ELSEVIER)S0959-6526(22)02651-8 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Yao, Yutong verfasserin aut Optimizing the layout of coupled grey-green stormwater infrastructure with multi-objective oriented decision making 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. Monetization method Elsevier Multi-objective optimization Elsevier Optimal layout Elsevier Grey-green infrastructure Elsevier Li, Jiake oth lv, Peng oth Li, Ning oth Jiang, Chunbo oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:367 year:2022 day:20 month:09 pages:0 https://doi.org/10.1016/j.jclepro.2022.133061 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 367 2022 20 0920 0 |
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Optimizing the layout of coupled grey-green stormwater infrastructure with multi-objective oriented decision making |
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In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. |
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In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. |
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In urban water management, the green infrastructures and grey infrastructures are complementary in function, effectively alleviating urban flooding and non-point source pollution. Coupled grey-green infrastructures will bring multiple benefits to cities, such as ecological, environmental, economic, and social benefits. However, there is still a lack of a coupled optimization layout method for green and grey infrastructures under different objective oriented benefits. The optimal layout ratio of each infrastructure is not clear. In this study, a multi-objective optimization framework was proposed to optimize the layout of coupled grey-green infrastructures. Firstly, this framework established a hierarchy structure of benefits evaluation with a monetization method to estimate the monetized net benefits, costs and environmental benefits for directly comparing the benefits and cost. Secondly, the monetized benefits and costs were used as the objective functions in the optimization problem, which were resolved by an elitist non-dominated sorting genetic algorithm (NSGA-II) to obtain the optimal grey-green infrastructure layout ratios (i.e., decision variables) for balancing the conflicting objectives. A case study of a district in Xi'an was used for validation. Results show that the green roof layout ratio is 7.6%–9.9%, and tends to be within the higher ratio values in all return periods. The other two green infrastructures have a larger range of optimal layout ratios, which varies significantly with different solutions. Although the optimal layout scenarios are different for different objectives, the coupled grey-green layout significantly improves the net benefits and environmental benefits. Compared to the deterministic scenario, the net benefit of the optimized scenario increase by 2.39 × 106CNY and 2.31 × 106CNY under the same cost or environmental benefit, respectively. This study provides a piece of evidence in support of urban stormwater management and evaluates the effectiveness of coupled grey-green infrastructures. |
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