利用 EPA SWMM 径流模型模拟锡尔赫特市主要运河的流量

G. Munna, Md Mahmudul Hasan, M. J. Alam, M. Uddin, Mohammad Shahidur Rahman, A. Nury, Shriful Islam
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引用次数: 0

摘要

从地理位置上看,孟加拉国锡尔赫特市的当地运河大多将雨水输送到苏尔玛河,因为该市缺乏典型的控制径流的排水基础设施。因此,需要适当的水力和水文模型来评估这些运河目前承受大量径流的潜力,并在暴雨期间加强对洪水问题的保护。在本研究中,利用 2016 年至 2019 年的水文数据和 1975 年至 2019 年的气象数据,分别使用 EPA SWMM 校准和验证了锡尔赫特市主要排水子系统中的 Malni Chara 和 Goali Chara 排水子系统。总体而言,由于模拟结果与观测数据十分吻合,这些模型适用于径流量测量。对于 Malni Chara 子系统,R2 为 0.94,Nash-Sutcliffe 效率(NSE)为 0.92,d 为 0.97,偏差百分比(PBIAS)为 2.96%,RMSE 标准偏差率(RSR)为 0.05;对于 Goali Chara 子系统,R2 为 0.96,NSE 为 0.90,d 为 0.93,PBIAS(%)为 1.54%,RSR 为 0.08。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling flow of the major canals of Sylhet city using the EPA SWMM runoff model
Geographically, local canals in Sylhet city, Bangladesh, mostly transport the rainwater to the Surma River as the city lacks typical drainage infrastructure for runoff control. Hence, proper hydraulic and hydrologic models are required to assess the current potential of these canals to withstand significant runoff and enhance the protection of flood problems during a severe storm. In this study, the Malni Chara and Goali Chara drainage sub-systems of Sylhet city's major drainage sub-systems were calibrated and verified using the EPA SWMM, respectively, using the hydrological data from 2016 to 2019 and the meteorological data from 1975 to 2019. Overall, the models will be suitable for the runoff quantity measuring since the simulated results matched the observed data well. For the Malni Chara sub-system, R2 of 0.94, Nash–Sutcliffe efficiency (NSE) of 0.92, d of 0.97, percent bias (PBIAS) (%) of 2.96%, and RMSE standard deviation ratio (RSR) of 0.05 have been found and for the Goali Chara sub-system, R2 of 0.96, NSE of 0.90, d of 0.93, PBIAS (%) of 1.54%, and RSR of 0.08 have been found.
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