TY - JOUR
T1 - Comprehensive Optimization Framework for Low Impact Development Facility Layout Design with Cost-Benefit Analysis
T2 - A Case Study in Shenzhen City, China
AU - Tang, Sijie
AU - Jiang, Jiping
AU - Shamseldin, Asaad Y.
AU - Shi, Haiyun
AU - Wang, Xiuheng
AU - Shang, Fangze
AU - Wang, Shuo
AU - Zheng, Yi
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (grant no. 51979136), Innovation Project of Universities in Guangdong Province-Natural Science (grant no. 2018KTSCX201), and Science, Technology and Innovation Commission of Shenzhen Municipality (grant bo. JSGG20201103094600001). We thank Shenzhen Howay Technology Co., Ltd. for monitoring data collection, field investigation, and consultation. We are grateful to senior engineers Wenfeng Li from Shenzhen Wenke Landscape Co., Ltd., Dou Xu and Xiang Sun from Shenzhen Water Planning & Design Institute, Co., Ltd., and Huijun Xiong and Luting Kong from Urban Planning & Design Institute of Shenzhen Co., Ltd., who provided detailed consultation and advice based on years of industry experiences. We also thank the help of Xiao Hu on editing.
Funding Information:
This work was supported by the National Natural Science Foundation of China (grant no. 51979136), Innovation Project of Universities in Guangdong Province-Natural Science (grant no. 2018KTSCX201) and Science, Technology and Innovation Commission of Shenzhen Municipality (grant bo. JSGG20201103094600001). We thank Shenzhen Howay Technology Co., Ltd. for monitoring data collection, field investigation, and consultation. We are grateful to senior engineers Wenfeng Li from Shenzhen Wenke Landscape Co., Ltd., Dou Xu and Xiang Sun from Shenzhen Water Planning & Design Institute, Co., Ltd., and Huijun Xiong and Luting Kong from Urban Planning & Design Institute of Shenzhen Co., Ltd., who provided detailed consultation and advice based on years of industry experiences. We also thank the help of Xiao Hu on editing.
Publisher Copyright:
©
PY - 2022/1/14
Y1 - 2022/1/14
N2 - Sustainable storm water management benefits a lot from low impact development (LID). The early-stage design of LID layout is critical for LID practices. However, the technology gaps still exist for an accurate, flexible, and systematic solution of optimal design. Literature works usually only consider the size and number of LID facilities in a given scenario or even totally empirical, which lacks integration of facility selection, connection, and size with multiple management objectives together. Therefore, this study proposed a generic and comprehensive framework for LID layout design with cost-benefit analysis. Powered by the computer coding scheme for the LID layout and a hybrid optimization algorithm, the framework was successfully verified in Sponge City of Shenzhen, China. The optimization results of genetic algorithm proved the stability of the novel coding scheme for LID layout. The best and worst scenarios are selected from the Pareto front through the entropy weight method. The variable cost weight method revealed the sensitivity from the cost preference of the decision maker. High construction costs and environmental effectiveness can be scientifically balanced in the procedure of early-stage design. The proposed design framework is expected to be widely verified and applied in storm water management practices around the world.
AB - Sustainable storm water management benefits a lot from low impact development (LID). The early-stage design of LID layout is critical for LID practices. However, the technology gaps still exist for an accurate, flexible, and systematic solution of optimal design. Literature works usually only consider the size and number of LID facilities in a given scenario or even totally empirical, which lacks integration of facility selection, connection, and size with multiple management objectives together. Therefore, this study proposed a generic and comprehensive framework for LID layout design with cost-benefit analysis. Powered by the computer coding scheme for the LID layout and a hybrid optimization algorithm, the framework was successfully verified in Sponge City of Shenzhen, China. The optimization results of genetic algorithm proved the stability of the novel coding scheme for LID layout. The best and worst scenarios are selected from the Pareto front through the entropy weight method. The variable cost weight method revealed the sensitivity from the cost preference of the decision maker. High construction costs and environmental effectiveness can be scientifically balanced in the procedure of early-stage design. The proposed design framework is expected to be widely verified and applied in storm water management practices around the world.
KW - cost-benefit analysis
KW - layout design
KW - LID
KW - multi-objective optimization
KW - Sponge City
KW - SWMM
UR - http://www.scopus.com/inward/record.url?scp=85123941300&partnerID=8YFLogxK
U2 - 10.1021/acsestwater.1c00235
DO - 10.1021/acsestwater.1c00235
M3 - Journal article
AN - SCOPUS:85123941300
SN - 2690-0637
VL - 2
SP - 63
EP - 74
JO - ACS Environmental Science and Technology Water
JF - ACS Environmental Science and Technology Water
IS - 1
ER -