Bioretention Model for Urban Runoff Treatment in a Tropical Climate: A Case Study at the Universiti Sains Malaysia

IF 1.2 Q4 WATER RESOURCES
Khee Ling Woon, H. Goh, Chun Kiat Chang, Siti Fairuz Juiani, N. Zakaria
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引用次数: 0

Abstract

Model for Urban Storm Water Improvement Conceptualism (MUSIC) software has been widely used to predict the treatment and performance of stormwater Best Management Practices (BMPs) such as bioretention for decision-making purposes in stormwater management. However, the calibration of bioretention models based on pollutant runoff characteristics in the tropics is rarely studied. This paper presents the calibration of bioretention model parameters using MUSIC software to treat polluted runoff in a tropical climate. The bioretention model was simulated based on a pilot study at the Universiti Sains Malaysia (USM) engineering campus to evaluate the flow rate and pollutant’s reduction performance. Two stages of calibration were conducted, with the first stage to calibrate the inflow and pollutant concentrations, and the second stage to further calibrate the k-C* model to fit the experimental results. The validation of the model was done using the percentage bias between modeled and experimental data to evaluate the accuracy of bioretention modeling using MUSIC software. Overall, the accuracy of this model increased after calibration and can be accepted, as the performance of bioretention models for total suspended solids, total nitrogen, and total phosphorus removal percentage are good or very good (-13%, -4%, and -39% respectively), whereas the flow rate reduction is satisfactory (17%).
热带气候下城市径流处理的生物滞留模型:马来西亚圣斯大学的案例研究
城市雨水改善概念模型(MUSIC)软件已被广泛用于预测雨水最佳管理实践(BMPs)的处理和性能,如用于雨水管理决策目的的生物保留。然而,基于热带地区污染物径流特征的生物滞留模型的校准研究却很少。本文介绍了利用MUSIC软件对热带气候污染径流进行生物滞留模型参数校正的方法。生物滞留模型是在马来西亚理科大学(USM)工程校区进行的一项试点研究中模拟的,以评估流速和污染物减排性能。进行了两阶段的校准,第一阶段校准入流和污染物浓度,第二阶段进一步校准k-C*模型以拟合实验结果。利用模型与实验数据之间的百分比偏差对模型进行验证,以评估MUSIC软件生物保留率建模的准确性。总体而言,校正后该模型的准确性有所提高,可以接受,因为生物保留模型对总悬浮物、总氮和总磷的去除率表现良好或非常好(分别为-13%、-4%和-39%),而流量降低率则令人满意(17%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
8
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