Literature DB >> 22227301

An impact assessment methodology for urban surface runoff quality following best practice treatment.

J Bryan Ellis1, D Michael Revitt, Lian Lundy.   

Abstract

The paper develops an easy to apply desk-based semi-quantitative approach for the assessment of residual receiving water quality risks associated with urban surface runoff following its conveyance through best practice sustainable drainage systems (SUDS). The innovative procedure utilises an integrated geographical information system (GIS)-based pollution index approach based on surface area impermeability, runoff concentrations/loadings and individual SUDS treatment performance potential to evaluate the level of risk mitigation achievable by SUDS drainage infrastructure. The residual impact is assessed through comparison of the determined pollution index with regulatory receiving water quality standards and objectives. The methodology provides an original theoretically based procedure which complements the current acute risk assessment approaches being widely applied within pluvial flood risk management.
Copyright © 2011 Elsevier B.V. All rights reserved.

Mesh:

Year:  2012        PMID: 22227301     DOI: 10.1016/j.scitotenv.2011.12.003

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Assessment of water quality in urban streams based on larvae of Hydropsyche angustipennis (Insecta, Trichoptera).

Authors:  Mariusz Tszydel; Marcin Markowski; Janusz Majecki; Dagmara Błońska; Mateusz Zieliński
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-17       Impact factor: 4.223

2.  Analysis of the Metals in Soil-Water Interface in a Manganese Mine.

Authors:  Bozhi Ren; Qian Wang; Yangbo Chen; Wenjie Ding; Xie Zheng
Journal:  J Anal Methods Chem       Date:  2015-06-17       Impact factor: 2.193

3.  Evaluating the Effects of Land Use Planning for Non-Point Source Pollution Based on a System Dynamics Approach in China.

Authors:  Peng Kuai; Wei Li; Nianfeng Liu
Journal:  PLoS One       Date:  2015-08-12       Impact factor: 3.240

  3 in total

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