2,150
Views
28
CrossRef citations to date
0
Altmetric
Research Articles

The influence of vegetation on rain garden hydrological performance

, &
Pages 1083-1089 | Received 12 May 2016, Accepted 30 Jul 2017, Published online: 18 Aug 2017
 

Abstract

Rain gardens are increasingly adopted in urban areas to mitigate urban stormwater impacts. They provide an opportunity to adopt taxonomically diverse plantings to enhance habitat and aesthetic value. However, few studies to date have quantified how rain garden hydrological performance is affected by vegetation type. In the present study, two vegetation types were considered: taxonomically diverse communities composed of forb-rich perennials; and mown grasses, as well as a bare soil control group. Detention effects were measured independently from retention. The forb-rich perennial mixes consistently provided the best hydrologic performance in terms of both stormwater retention and detention. The diverse perennial community showed up to 1.2 mm higher initial losses over the experimental catchment compared with mown grasses, and also offered 54% and 32% longer detention compared with bare soils and mown grasses, respectively. We therefore recommend prioritising taxonomically and structurally diverse planting for vegetated stormwater management facilities wherever possible.

Acknowledgements

Thanks to Ms. Sue France and Green Estate Ltd. (Sheffield, UK) for providing the experimental site and materials.

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 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 239.00 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.