Modeling flow of the major canals of Sylhet city using the EPA SWMM runoff model

Author:

Munna Gulam Md1,Hasan Md Mahmudul1ORCID,Alam Md Jahir Bin1,Uddin Md Misbah1,Rahman Mohammad Shahidur1,Nury Ahmad Hasan1,Islam Shriful1

Affiliation:

1. 1 Department of Civil and Environmental Engineering, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh

Abstract

Abstract 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, Malni Chara and Goali Chara sub-systems of Sylhet city's major drainage networks were calibrated and verified using the EPA Storm Water Management Model (SWMM), respectively, using the hydrological data from 2016 to 2019 and the meteorological data from 1975 to 2019. The models were suitable for measuring the runoff quantity 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.

Publisher

IWA Publishing

Reference42 articles.

1. Adequacy assessment of an urban drainage system considering future land use and climate change scenario;Afrin;Journal of Water and Climate Change,2021

2. Assessing the Sensitivity of SWMM to Variations in Hydrological and Hydraulic Parameters: A Case Study for the city of Istanbul

3. Forecasting monthly precipitation in Sylhet city using ARIMA model;Bari;Civil and Environmental Research,2015

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