Literature DB >> 26878221

Modeling flood reduction effects of low impact development at a watershed scale.

Laurent Ahiablame1, Ranish Shakya2.   

Abstract

Low impact development (LID) is a land development approach that seeks to mimic a site's pre-development hydrology. This study is a case study that assessed flood reduction capabilities of large-scale adoption of LID practices in an urban watershed in central Illinois using the Personal Computer Storm Water Management Model (PCSWMM). Two flood metrics based on runoff discharge were developed to determine action flood (43 m(3)/s) and major flood (95 m(3)/s). Four land use scenarios for urban growth were evaluated to determine the impacts of urbanization on runoff and flooding. Flood attenuation effects of porous pavement, rain barrel, and rain garden at various application levels were also evaluated as retrofitting technologies in the study watershed over a period of 30 years. Simulation results indicated that increase in urban land use from 50 to 94% between 1992 and 2030 increased average annual runoff and flood events by more than 30%, suggesting that urbanization without sound management would increase flood risks. The various implementation levels of the three LID practices resulted in 3-47% runoff reduction in the study watershed. Flood flow events that include action floods and major floods were also reduced by 0-40%, indicating that LID practices can be used to mitigate flood risk in urban watersheds. The study provides an insight into flood management with LID practices in existing urban areas.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Modeling; PCSWMM; Storm runoff; Urban growth

Mesh:

Year:  2016        PMID: 26878221     DOI: 10.1016/j.jenvman.2016.01.036

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  7 in total

1.  Development of a scenario-based stormwater management planning support system for reducing combined sewer overflows (CSOs).

Authors:  Xin Fu; Haynes Goddard; Xinhao Wang; Matthew E Hopton
Journal:  J Environ Manage       Date:  2019-02-14       Impact factor: 6.789

2.  Green infrastructure and its catchment-scale effects: an emerging science.

Authors:  Heather E Golden; Nahal Hoghooghi
Journal:  WIREs Water       Date:  2018       Impact factor: 6.139

3.  First flush of non-point source pollution and hydrological effects of LID in a Guangzhou community.

Authors:  Jiajun Zeng; Guoru Huang; Haiwan Luo; Yepeng Mai; Haichun Wu
Journal:  Sci Rep       Date:  2019-09-25       Impact factor: 4.379

4.  Optimization of Impervious Surface Space Layout for Prevention of Urban Rainstorm Waterlogging: A Case Study of Guangzhou, China.

Authors:  Huafei Yu; Yaolong Zhao; Yingchun Fu
Journal:  Int J Environ Res Public Health       Date:  2019-09-26       Impact factor: 3.390

5.  Evaluation of Water Provision Ecosystem Services Associated with Land Use/Cover and Climate Variability in the Winike Watershed, Omo Gibe Basin of Ethiopia.

Authors:  Abreham Berta Aneseyee; Teshome Soromessa; Eyasu Elias; Tomasz Noszczyk; Gudina Legese Feyisa
Journal:  Environ Manage       Date:  2021-12-08       Impact factor: 3.266

6.  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

7.  Joint Risk of Rainfall and Storm Surges during Typhoons in a Coastal City of Haidian Island, China.

Authors:  Hongshi Xu; Kui Xu; Lingling Bin; Jijian Lian; Chao Ma
Journal:  Int J Environ Res Public Health       Date:  2018-06-30       Impact factor: 3.390

  7 in total

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