Literature DB >> 29316470

Approach and case-study of green infrastructure screening analysis for urban stormwater control.

Timothy T Eaton1.   

Abstract

Urban stormwater control is an urgent concern in megacities where increased impervious surface has disrupted natural hydrology. Water managers are increasingly turning to more environmentally friendly ways of capturing stormwater, called Green Infrastructure (GI), to mitigate combined sewer overflow (CSO) that degrades local water quality. A rapid screening approach is described to evaluate how GI strategies can reduce the amount of stormwater runoff in a low-density residential watershed in New York City. Among multiple possible tools, the L-THIA LID online software package, using the SCS-CN method, was selected to estimate relative runoff reductions expected with different strategies in areas of different land uses in the watershed. Results are sensitive to the relative areas of different land uses, and show that bioretention and raingardens provide the maximum reduction (∼12%) in this largely residential watershed. Although commercial, industrial and high-density residential areas in the watershed are minor, larger runoff reductions from disconnection strategies and porous pavement in parking lots are also possible. Total stormwater reductions from various combinations of these strategies can reach 35-55% for individual land uses, and between 23% and 42% for the entire watershed.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Green infrastructure; L-THIA LID; Low impact development; Stormwater; Urbanization

Mesh:

Year:  2018        PMID: 29316470     DOI: 10.1016/j.jenvman.2017.12.068

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


  2 in total

1.  Effectiveness Analysis of Systematic Combined Sewer Overflow Control Schemes in the Sponge City Pilot Area of Beijing.

Authors:  Yongwei Gong; Ye Chen; Lei Yu; Junqi Li; Xingyao Pan; Zhenyao Shen; Xiang Xu; Qianying Qiu
Journal:  Int J Environ Res Public Health       Date:  2019-04-28       Impact factor: 3.390

2.  A rainwater control optimization design approach for airports based on a self-organizing feature map neural network model.

Authors:  Dongwei Qiu; Hao Xu; Dean Luo; Qing Ye; Shaofu Li; Tong Wang; Keliang Ding
Journal:  PLoS One       Date:  2020-01-21       Impact factor: 3.240

  2 in total

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