A novel spatial optimization approach for the cost-effectiveness improvement of LID practices based on SWMM-FTC

Shanshan Li; Zhaoli Wang; Xushu Wu; Zhaoyang Zeng; Ping Shen; Chengguang Lai

doi:10.1016/j.jenvman.2022.114574

A novel spatial optimization approach for the cost-effectiveness improvement of LID practices based on SWMM-FTC

J Environ Manage. 2022 Apr 1:307:114574. doi: 10.1016/j.jenvman.2022.114574. Epub 2022 Jan 24.

Authors

Shanshan Li¹, Zhaoli Wang², Xushu Wu², Zhaoyang Zeng¹, Ping Shen³, Chengguang Lai⁴

Affiliations

¹ School of Civil Engineering and Transportation, State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, 510641, China.
² School of Civil Engineering and Transportation, State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, 510641, China; Guangdong Engineering Technology Research Center of Safety and Greenization for Water Conservancy Project, Guangzhou, 510641, China.
³ Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, China.
⁴ School of Civil Engineering and Transportation, State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, 510641, China; Guangdong Engineering Technology Research Center of Safety and Greenization for Water Conservancy Project, Guangzhou, 510641, China. Electronic address: laichg@scut.edu.cn.

PMID: 35085961
DOI: 10.1016/j.jenvman.2022.114574

Abstract

Due to the increasingly frequent occurrence of urban waterlogging, the spatial optimization of low impact development (LID) practices has been commonly used to detain and reduce storm water runoff in the most cost-effective way. In this study, the flow transmission chain (FTC) was proposed to replace the routing portion of the Storm Water Management Model (SWMM) and was combined with the runoff component of the SWMM to simulate LID practices (SWMM-FTC). In the SWMM-FTC, the third Evolution Step of Generalized Differential Evolution (GDE3) was employed to optimize the LID layout design. The results showed that the relative error between the modified SWMM-FTC and the calibrated SWMM was less than 0.25% under various LID scenarios, and the computational efficiency of the SWMM-FTC was improved by 19.3 times. Moreover, the GDE3 outperformed the commonly used non-dominated sorting genetic algorithm (NSGA-II), the strength Pareto evolutionary algorithm (SPEA2), and the multi-objective shuffled frog leaping algorithm (MOSFLA) due to its ability to find the most cost-effective solution. The LID layout obtained from the SWMM-FTC with the GDE3 saved $210-1067 to achieve a 1% reduction in storm water runoff. This result demonstrates that the SWMM-FTC with the GDE3 can achieve higher environmental benefits than comparable models, providing better guidance for managers and stakeholders.

Keywords: Flow-transmission chain; GDE3 algorithm; Low impact development; SWMM.

MeSH terms

Algorithms
Cost-Benefit Analysis
Models, Theoretical
Rain*
Water
Water Movements*

Substances

Water