6,746
Views
119
CrossRef citations to date
0
Altmetric
Research articles

Sustainable surface water management and green infrastructure in UK urban catchment planning

Pages 24-41 | Received 01 Dec 2010, Accepted 07 Nov 2011, Published online: 29 Mar 2012
 

Abstract

Based on the analysis of impervious surface cover and water balance studies, it is argued that conventional, separately-sewered first-generation and alternative second-generation sustainable drainage systems (SUDS) cannot provide a fully sustainable surface water management approach for urban catchment planning. An extended approach based on the introduction of micro-and meso-vegetative SUDS systems into a wider green infrastructure (GI) framework is advocated to effectively address on-site and catchment urban surface water issues. The approach is based on the integrated planning implementation of street ‘greening’, with optimisation of existing biofiltration SUDS solutions, together with green roofs, downspout disconnection and sub-catchment riparian corridors to achieve a minimum 25–30% canopy cover level. A ‘leaf-out’ inventory procedure using GIS and satellite imagery can be employed to assess potential vegetative SUDS locations and types, and their likely impact upon the urban water cycle and receiving water health. However, there is a need to ensure that GI elements are incorporated into planning approaches and protocols for urban drainage infrastructure provision.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 675.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.