Theses and Dissertations

Date of Award

12-2020

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Civil Engineering

First Advisor

Dr. Chu-Lin Cheng

Second Advisor

Dr. Jungseok Ho

Third Advisor

Dr. Abdoul A. Oubeidillah

Abstract

Implementation of Low Impact Development systems (LIDs) can reduce the detrimental effects of urbanization. In this study, performance of both conventional drainage system and bioretention swales LID green infrastructure was assessed. Personal Computer Storm Water Management Model (PCSWMM) was used to investigate the performance by producing runoff hydrographs. Calibration and validation were conducted with independent storm events to minimize the gap between the simulated and observed outflow. Among different sensitive parameters, saturated hydraulic conductivity, suction head, percent initially saturated, Manning’s N for impervious area, were used in calibration. Each storm event resulted coefficient of determination (R2) values of 0.656 or higher between observed and simulated data along with minimal Root Mean Square Error (RMSE). Four bioretention swales with different porous soil media reduced runoff peak flow and volume by 56-84% and 58-81%. Bioretention swale with pumice soil layer showed better performances in reducing average peak flowrate (84%) and volume (81%) comparing to others. Hydraulic properties of soil layer impacted bioretention functions such as peak flow, discharge, and residence time as predicted. Bioretention swales showed potentials to mitigate flooding and increase groundwater storage and recharge. The calibrated parameters can be useful references for future studies with similar settings.

Comments

Copyright 2020 Abdullah Al Fatta. All Rights Reserved.

https://go.openathens.net/redirector/utrgv.edu?url=https://www.proquest.com/dissertations-theses/performance-efficiency-evaluation-stormwater/docview/2555630397/se-2?accountid=7119

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