•  
  •  
 

Abstract

In view of the characteristics of large rainfall intensity, short duration, and tidal backwater effect in coastal areas of southern China, this paper studied the combination and layout scale of low impact development (LID) facilities suitable for sponge cities in coastal areas. By establishing the storm water management model (SWMM) of the research area, four LID facility combinations were designed to simulate and analyze the runoff control effect of different LID combinations and the pipe network load under the action of tides, and the LID combination with the best comprehensive effect was determined. A multi-objective optimization model was established with cost and total runoff control rate as optimization objectives, and the NSGA‑Ⅱ algorithm was used to optimize the layout scale of LID facilities. The results show that Combination 1 has the best performance in reducing the total runoff and relieving the pressure of the pipe network under the action of the tide. When the rainfall return period is two and five years, Combination 1 is slightly inferior to other combinations in terms of reducing the peak flow and delaying the peak time, but it is better under the rainfall return period of 10 years. Through the multi-objective optimization method, the LID layout scheme after scale optimization is obtained, which saves 29.06% of the construction cost compared with the original scheme on the premise of meeting the control objectives. Through research and analysis, an LID design scheme suitable for coastal areas with lower costs is obtained.

Publication Date

11-24-2023

DOI

10.14048/j.issn.1671-2579.2023.05.044

First Page

259

Last Page

266

Submission Date

March 2025

Reference

[1] 徐多. 基于SWMM的海绵校园径流控制效果评估: 以萍乡市北星小学为例[J]. 水利水电技术, 2019, 50(7): 32-39. XU Duo. SWMM-based evaluation on runoff control in sponge campus—a case of beixing primary school in Pingxiang City[J]. Water Resources and Hydropower Engineering, 2019, 50(7): 32-39. [2] 汤伟真, 任心欣, 丁年, 等. 基于SWMM的市政道路低影响开发雨水系统设计[J]. 中国给水排水, 2016, 32(3): 109-112. TANG Weizhen, REN Xinxin, DING Nian, et al. Design of rainwater system with low impact development for municipal road based on SWMM model[J]. China Water & Wastewater, 2016, 32(3): 109-112. [3] FENG M Y, JUNG K, LI F P, et al. Evaluation of the main function of low impact development based on rainfall events[J]. Water, 2020, 12(8): 2231. [4] 郭振清, 张春会, 关彤军, 等. 海绵城市渗水雨水井新构造及入渗流量计算方法[J]. 中外公路, 2019, 39(1): 8-12. GUO Zhenqing, ZHANG Chunhui, GUAN Tongjun, et al. New structure of permeable rainwater well and calculation method of infiltration flow in sponge city[J]. Journal of China & Foreign Highway, 2019, 39(1): 8-12. [5] GUERRA H B, KIM Y. Understanding the performance and applicability of low impact development structures under varying infiltration rates[J]. KSCE Journal of Civil Engineering, 2020, 24(5): 1430-1438. [6] SAADATPOUR M, DELKHOSH F, AFSHAR A, et al. Developing a simulation-optimization approach to allocate low impact development practices for managing hydrological alterations in urban watershed[J]. Sustainable Cities and Society, 2020, 61: 102334. [7] 程树斌, 关彤军, 张春会, 等. 海绵城市道路种植土-碎石绿化带的雨水入渗[J]. 中外公路, 2018, 38(2): 13-19. CHENG Shubin, GUAN Tongjun, ZHANG Chunhui, et al. Rainfall infiltration of road planting soil-green vegetative macadam belt in sponge city[J]. Journal of China & Foreign Highway, 2018, 38(2): 13-19. [8] 赵梦圆, 王建龙, 苏选军, 等. 西北干旱地区海绵城市建设途径探讨[J]. 环境工程, 2019, 37(7): 18-24. ZHAO Mengyuan, WANG Jianlong, SU Xuanjun, et al. Discussion on development mode of sponge city in northwest arid region in China[J]. Environmental Engineering, 2019, 37(7): 18-24. [9] 李舜, 辜俊波, 邓金运. 基于MIKE-FLOOD模型的甘露电厂区域防洪情势分析[J]. 水科学与工程技术, 2020(6): 48-52. LI Shun, GU Junbo, DENG Jinyun. Flood situation in Ganlu Power Plant region based on MIKE-FLOOD model[J]. Water Sciences and Engineering Technology, 2020(6): 48-52. [10] 王泽阳. 滨海地区市政道路海绵城市设计的反思与优化[J]. 中国给水排水, 2020, 36(20): 133-136. WANG Zeyang. Reflection and optimization of municipal road sponge city design in coastal area[J]. China Water & Wastewater, 2020, 36(20): 133-136. [11] 熊林, 李晓丽, 唐宇. 中新天津生态城海绵城市规划建设实践与思考[J]. 中国给水排水, 2018, 34(12): 1-4. XIONG Lin, LI Xiaoli, TANG Yu. Practice and thinking on planning and construction of sponge city in Sino-Singapore Tianjin eco-city[J]. China Water & Wastewater, 2018, 34(12): 1-4. [12] 邹芳睿, 宋昆, 叶青, 等. 北方滨海地区海绵城市建设探索与实践: 以中新天津生态城为例[J]. 给水排水, 2017, 53(11): 38-43. ZOU Fangrui, SONG Kun, YE Qing, et al. Exploration and practice of sponge city construction in northern coastal areas—taking Sino-Singapore Tianjin eco-city as an example[J]. Water & Wastewater Engineering, 2017, 53(11): 38-43. [13] 柴苑苑, 孙翔. 深圳市流域暴雨雨型及变化趋势分析[J]. 水利技术监督, 2018, 26(6): 140-142. CHAI Yuanyuan, SUN Xiang. Analysis of rainstorm pattern and its changing trend in Shenzhen river basin[J]. Technical Supervision in Water Resources, 2018, 26(6): 140-142. [14] 马萌华．基于模糊综合评价的海绵城市lid措施综合效能评价体系研究[d]．西安：西安理工大学，2019． MA menghua. Research on the comprehensive performance evaluation system of lid measures in sponge cities based on fuzzy comprehensive evaluation [D]. Xi'an: Xi'an University of Technology, 2019. [15] 李春林，胡远满，刘淼，等．SWMM模型参数局部灵敏度分析[J]．生态学杂志，2014，33(4)：1076‑1081. LI Chunlin, HU Yuanman, LIU Miao, et al. Local Sensitivity analysis of SWMM model parameters [J]. Chinese Journal of Ecology, 2014, 33(4): 1076-1081. [16] 曾家俊, 麦叶鹏, 李志威, 等. 广州天河智慧城SWMM参数敏感性分析[J]. 水资源保护, 2020, 36(3): 15-21. ZENG Jiajun, MAI Yepeng, LI Zhiwei, et al. Sensitivity analysis of SWMM parameters in Guangzhou Tianhe wisdom city[J]. Water Resources Protection, 2020, 36(3): 15-21. [17] LENHART T, ECKHARDT K, FOHRER N, et al. Comparison of two different approaches of sensitivity analysis[J]. Physics and Chemistry of the Earth, Parts A/B/C, 2002, 27(9/10): 645-654. [18] ZHAO D Q, CHEN J N, WANG H Z, et al. GIS-based urban rainfall-runoff modeling using an automatic catchment-discretization approach: a case study in Macau [J]. Environmental Earth Sciences, 2009, 59(2): 465-472. [19] DEB K, PRATAP A, AGARWAL S, et al. A fast and elitist multiobjective genetic algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197.

Download

Share

COinS