Rapid decision support tool based on novel ecosystem service variables for retrofitting of permeable pavement systems in the presence of trees

Scholz, M; Uzomah, VC

Abstract

The retrofitting of sustainable drainage systems (SuDS) such as permeable pavements is currently undertaken ad hoc using expert experience supported by minimal guidance based predominantly on hard engineering variables. There is a lack of practical decision support tools useful for a rapid assessment of the potential of ecosystem services when retrofitting permeable pavements in urban areas that either feature existing trees or should be planted with trees in the near future. Thus the aim of this paper is to develop an innovative rapid decision support tool based on novel ecosystem service variables for retrofitting of permeable pavement systems close to trees. This unique tool proposes the retrofitting of permeable pavements that obtained the highest ecosystem service score for a specific urban site enhanced by the presence of trees. This approach is based on a novel ecosystem service philosophy adapted to permeable pavements rather than on traditional engineering judgement associated with variables based on quick community and environment assessments. For an example case study area such as Greater Manchester, which was dominated by Sycamore and Common Lime, a comparison with the traditional approach of determining community and environment variables indicates that permeable pavements are generally a preferred SuDS option. Permeable pavements combined with urban trees received relatively high scores, because of their great potential impact in terms of water and air quality improvement, and flood control, respectively. The outcomes of this paper are likely to lead to more combined permeable pavement and tree systems in the urban landscape, which are beneficial for humans and the environment.

Citation

Scholz, M., & Uzomah, V. (2013). Rapid decision support tool based on novel ecosystem service variables for retrofitting of permeable pavement systems in the presence of trees. Science of the Total Environment, 458-46, 486-498. https://doi.org/10.1016/j.scitotenv.2013.04.062

• Journal Article Type: Article
• Publication Date: Jan 1, 2013
• Deposit Date: May 16, 2014
• Journal: Science of the Total Environment
• Print ISSN: 0048-9697
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 458-46
• Pages: 486-498
• DOI: https://doi.org/10.1016/j.scitotenv.2013.04.062
• Keywords: Air quality, Best management practice, Expert system, Sycamore, Urban area, Vegetation
• Publisher URL: http://dx.doi.org/10.1016/j.scitotenv.2013.04.062