Literature DB >> 26432400

Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approach.

Sang-Soo Baek1, Dong-Ho Choi2, Jae-Woon Jung3, Hyung-Jin Lee4, Hyuk Lee5, Kwang-Sik Yoon6, Kyung Hwa Cho7.   

Abstract

Currently, continued urbanization and development result in an increase of impervious areas and surface runoff including pollutants. Also one of the greatest issues in pollutant emissions is the first flush effect (FFE), which implies a greater discharge rate of pollutant mass in the early part in the storm. Low impact development (LID) practices have been mentioned as a promising strategy to control urban stormwater runoff and pollution in the urban ecosystem. However, this requires many experimental and modeling efforts to test LID characteristics and propose an adequate guideline for optimizing LID management. In this study, we propose a novel methodology to optimize the sizes of different types of LID by conducting intensive stormwater monitoring and numerical modeling in a commercial site in Korea. The methodology proposed optimizes LID size in an attempt to moderate FFE on a receiving waterbody. Thereby, the main objective of the optimization is to minimize mass first flush (MFF), which is an indicator for quantifying FFE. The optimal sizes of 6 different LIDs ranged from 1.2 mm to 3.0 mm in terms of runoff depths, which significantly moderate the FFE. We hope that the new proposed methodology can be instructive for establishing LID strategies to mitigate FFE.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  First flush effect (FFE); LID optimization; Low impact development (LID); Mass first flush (MFF); Stormwater treatment

Mesh:

Substances:

Year:  2015        PMID: 26432400     DOI: 10.1016/j.watres.2015.08.038

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  5 in total

1.  A comparative study of the grain-size distribution of surface dust and stormwater runoff quality on typical urban roads and roofs in Beijing, China.

Authors:  Zhenyao Shen; Jin Liu; Guzhanuer Aini; Yongwei Gong
Journal:  Environ Sci Pollut Res Int       Date:  2015-10-06       Impact factor: 4.223

2.  Runoff simulation of two typical urban green land types with the Stormwater Management Model (SWMM): sensitivity analysis and calibration of runoff parameters.

Authors:  Zuxin Xu; Lijun Xiong; Huaizheng Li; Jin Xu; Xin Cai; Keli Chen; Jun Wu
Journal:  Environ Monit Assess       Date:  2019-05-04       Impact factor: 2.513

3.  Modeling and Design Scenario Analysis of Long-Term Monitored Bioretention System for Rainfall-Runoff Reduction to Combined Sewer in Cincinnati, OH.

Authors:  Jamal Alikhani; Christopher Nietch; Scott Jacobs; Bill Shuster; Arash Massoudieh
Journal:  J Sustain Water Built Environ       Date:  2020-05-04

4.  Evaluating the Hydrologic Performance of Low Impact Development Scenarios in a Micro Urban Catchment.

Authors:  Chunlin Li; Miao Liu; Yuanman Hu; Rongqing Han; Tuo Shi; Xiuqi Qu; Yilin Wu
Journal:  Int J Environ Res Public Health       Date:  2018-02-05       Impact factor: 3.390

5.  Measuring performance of low impact development practices for the surface runoff management.

Authors:  Wenyu Yang; Kurt Brüggemann; Kiwanuka David Seguya; Ehtesham Ahmed; Thomas Kaeseberg; Heng Dai; Pei Hua; Jin Zhang; Peter Krebs
Journal:  Environ Sci Ecotechnol       Date:  2020-01-13
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.