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Modeling for Mitigating Storm Water Unban Flooding and Water Quality Issues by Using Small Serial Dams: A Case Study of the City of San Angelo

Paper Topic: 
Environmental data analysis and modelling
 

Pages :
-

Corresponing Author: 
Tae Jin Kim
 
Authors: 
Kim T.J.
Paper ID: 
gnest_03745
Paper Status: 
In press
Date Paper Accepted: 
29-07-2021
Paper online: 
15/8/2021
Visual abstract: 
Abstract: 

The City of San Angelo has been imposed on urban flooding and no-point source pollution and develop storm water monitoring and modeling project for managing these storm water issues. This study focuses on the stormwater peak flow reduction and water pollutant improvement by using small serial retention structures. The storm water data collected are utilized to verify storm water and event mean concentration in SWMM model. The verified SWMM that has range from 0.6 to 0.8 of coefficient of determination is modeled to evaluate small serial dams for reducing peak flow and water quality loading. Small serial dams explain the 26%~55.3% peak flow reduction and 53.2%~93.7% water pollutant removal percent. Sensitivity analysis results for three kinds of orifice sizes provide that smaller size increases the hydraulic retention and reduces the peak flow than other bigger size while the bigger size shows effective water pollutant reduction than small size.

Keywords: 
Best Management Practice, Multiple Regression Equation, Peak Flow, SWMM, Water Pollutants