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Optimization of Spatial Allocation of Green Infrastructure Based on SPEA2
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Xiang-hua LIAO1a, Wen-jie CHEN2, Jia-xuan ZHENG1a, Guo-ru HUANG1a, 1b
Water Resources and Power | 2023, 41(5) : 144 - 148
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Water Resources and Power | 2023, 41(5): 144-148
WATER CONSERVANCY AND HYDROPOWER ENGINEERING
Optimization of Spatial Allocation of Green Infrastructure Based on SPEA2
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Xiang-hua LIAO1a, Wen-jie CHEN2, Jia-xuan ZHENG1a, Guo-ru HUANG1a, 1b
Affiliations
  • 1a.School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
  • 1b.State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510640, China
  • 2.School of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, China
Published: 2023-05-25 doi: 10.20040/j.cnki.1000-7709.2023.20221393
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To maximize the cost-effectiveness of green infrastructure (GI) implementation, a pilot project in Guangzhou Tianhe Smart City was selected to conduct the study. Setting runoff volume reduction rate, suspended solids load reduction rate, and life cycle cost of GI as optimization objectives, SPEA2 was coupled with SWMM to obtain a series of GI optimal spatial allocation schemes with land utilization as the constraint condition. The results show that with the increase of the rainfall recurrence period, the integrated reduction rate and the range of the GI optimal spatial allocation scheme set gradually reduce. The sunken lawn (SL) is the most cost-effective GI while the green roof (GR) is the least. When the investment is low, the area of SL can be planned to the maximum before planning other GI. If the integrated reduction rate is high with sufficient funds, GR can be considered based on the large allocation area of other GI. The results can provide theoretical support for the implementation of the sponge city program.

cost-effectiveness  /  SPEA2  /  spatial allocation optimization  /  green infrastructure  /  SWMM
Xiang-hua LIAO, Wen-jie CHEN, Jia-xuan ZHENG, Guo-ru HUANG. Optimization of Spatial Allocation of Green Infrastructure Based on SPEA2[J]. Water Resources and Power, 2023 , 41 (5) : 144 -148 . DOI: 10.20040/j.cnki.1000-7709.2023.20221393
Year 2023 volume 41 Issue 5
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doi: 10.20040/j.cnki.1000-7709.2023.20221393
  • Receive Date:2022-07-08
  • Online Date:2026-01-28
  • Published:2023-05-25
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  • Received:2022-07-08
  • Revised:2022-08-07
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Affiliations
    1a.School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
    1b.State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510640, China
    2.School of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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