Design of urban runoff pollution control based on the Sponge City concept in a large-scale high-plateau mountainous watershed: a case study in Yunnan, China

分水岭 低影响开发 地表径流 环境科学 雨水 水文学(农业) 高原(数学) 流域面积 布线(电子设计自动化) 水资源管理 雨水管理 环境工程 工程类 计算机科学 生态学 数学 数学分析 岩土工程 机器学习 电子工程 生物
作者
Zhen‐Yu Zhang,Junjie Gu,Guoshun Zhang,Wenjing Ma,Lei Zhao,Ping Ning,Jian Shen
出处
期刊:Journal of Water and Climate Change [IWA Publishing]
卷期号:12 (1): 201-222 被引量:14
标识
DOI:10.2166/wcc.2019.120
摘要

Abstract China recently commenced the Sponge City initiative for the effective management of urban stormwater runoff. Numerous studies have been carried out to evaluate the cost-effectiveness of low impact development (LID) practices in Sponge City planning and implementation. However, most of the studies were at the site- or subcatchment scale, and few were conducted at the watershed scale, given the dramatically increased routing complexity and number of decision variables. This study demonstrates the cost-effective Sponge City planning process for a 25.90 km2 high-plateau watershed in southwest China. The Stormwater Management Model was coupled with the System for Urban Stormwater Treatment and Analysis Integrated (SUSTAIN) model to perform both continuous simulations and watershed-level optimization analyses, using the reduction of 85% annual runoff volume as the optimization target. Based on over 11,000 optimization runs, a near-optimal aggregated LID scenario was identified for each subcatchment. The aggregated LID size was first converted into a generic LID storage volume for individual subcatchments, and the storage volume was then disaggregated into site-level LID layouts regarding specific site conditions. The disaggregated LID layout yielded an annual average runoff volume reduction of 87.61% and close to 85% reduction for the annual average total suspended solids, total nitrogen, and total phosphorus loads. The systematic approach outlined in this study could be used for watershed-level Sponge City planning and implementation analyses in other cities.
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