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改进滞留塘以实现有效的雨水管理和提高未来气候变化下的水质:使用 PCSWMM 模型进行的模拟研究。

Improving detention ponds for effective stormwater management and water quality enhancement under future climate change: a simulation study using the PCSWMM model.

机构信息

Department of Civil and Environmental Engineering, Washington State University, Richland, WA, 99354, USA.

Civil Engineering Department, Faculty of Engineering, Minia University, Minia, 61111, Egypt.

出版信息

Sci Rep. 2023 Apr 5;13(1):5555. doi: 10.1038/s41598-023-32556-x.

DOI:10.1038/s41598-023-32556-x
PMID:37019977
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10076266/
Abstract

Urban surfaces are often covered by impermeable materials such as concrete and asphalt which intensify urban runoff and pollutant concentration during storm events, and lead to the deterioration of the quality of surrounding water bodies. Detention ponds are used in urban stormwater management, providing two-fold benefits: flood risk reduction and pollution load minimization. This paper investigates the performance of nine proposed detention ponds (across the city of Renton, Washington, USA) under different climate change scenarios. First, a statistical model was developed to estimate the pollutant load for the current and future periods and to understand the effects of increased rainfall on stormwater runoff and pollutant loads. The Personal Computer Storm Water Management Model (PCSWMM) platform is employed to calibrate an urban drainage model for quantifying stormwater runoff and corresponding pollutant loads. The calibrated model was used to investigate the performance of the proposed nine (9) detention ponds under future climate scenarios of 100-year design storms, leading to identifying if they are likely to reduce stormwater discharge and pollutant loads. Results indicated significant increases in stormwater pollutants due to increases in rainfall from 2023 to 2050 compared to the historical period 2000-2014. We found that the performance of the proposed detention ponds in reducing stormwater pollutants varied depending on the size and location of the detention ponds. Simulations for the future indicated that the selected detention ponds are likely to reduce the concentrations (loads) of different water quality constituents such as ammonia (NH), nitrogen dioxide (NO), nitrate (NO), total phosphate (TP), and suspended solids (SS) ranging from 18 to 86%, 35-70%, 36-65%, 26-91%, and 34-81%, respectively. The study concluded that detention ponds can be used as a reliable solution for reducing stormwater flows and pollutant loads under a warmer future climate and an effective adaptation option to combat climate change related challenges in urban stormwater management.

摘要

城市表面通常覆盖着不透水材料,如混凝土和沥青,这会在暴雨事件中加剧城市径流和污染物浓度,并导致周围水体质量恶化。滞洪池用于城市雨水管理,具有双重效益:降低洪灾风险和最小化污染负荷。本文研究了美国华盛顿州雷顿市的九个拟议滞洪池在不同气候变化情景下的性能。首先,开发了一个统计模型来估算当前和未来时期的污染物负荷,并了解增加降雨对雨水径流水和污染物负荷的影响。使用个人计算机雨水管理模型(PCSWMM)平台来校准城市排水模型,以量化雨水径流水和相应的污染物负荷。使用校准模型研究了未来气候情景下 100 年设计暴雨下的拟议九个(9)滞洪池的性能,以确定它们是否有可能减少雨水排放和污染物负荷。结果表明,与 2000-2014 年的历史时期相比,由于 2023 年至 2050 年降雨量的增加,雨水污染物显著增加。我们发现,拟议滞洪池在减少雨水污染物方面的性能因滞洪池的大小和位置而异。未来的模拟表明,所选的滞洪池可能会降低不同水质成分(如氨(NH)、二氧化氮(NO)、硝酸盐(NO)、总磷(TP)和悬浮固体(SS)的浓度(负荷),范围分别为 18%至 86%、35%至 70%、36%至 65%、26%至 91%和 34%至 81%。研究结论认为,滞洪池可以作为在温暖的未来气候下减少雨水流量和污染物负荷的可靠解决方案,也是应对城市雨水管理中与气候变化相关挑战的有效适应选项。

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