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The economic benefits of reductions in nitrogen loads from stormwater runoff by street trees
- Source :
- Blue-Green Systems, Vol 2, Iss 1, Pp 267-281 (2020)
- Publication Year :
- 2020
- Publisher :
- IWA Publishing, 2020.
-
Abstract
- It is increasingly recognised that urban trees can contribute to reducing stormwater runoff by intercepting and retaining a fraction of rainfall received. What is less studied is the translation of this to reduced pollutant loads being transferred to receiving streams, rivers, and water bodies. In this paper, we assess interception of two tree species (Eucalyptus microcorys and Ulmus procera) in an urban park. These data are used in simple water balance modelling to predict the environmental and economic benefit of reducing nitrogen loads to receiving waterways as a function of reduced runoff volume resulting from rainfall interception by urban trees on public land (21% of the catchment area). We use a highly urbanized catchment in Melbourne, Australia to demonstrate the impact of an urban forest dominated by deciduous trees, evergreen trees or a mixed tree canopy cover. We found that doubling the urban canopy cover in the catchment, while keeping the current mix ratio of deciduous and evergreen trees, could reduce annual runoff volume by 30 mm (92 MLyr−1). Using the prescribed values that developers must pay the local water authority for nitrogen treatment as a condition of new development, we calculate that this would deliver a nitrogen load removal benefit of AUD$ 200/tree. If only deciduous trees are planted, the annual runoff reduction would decrease to 24 mm (73 MLyr−1) and increases to 37 mm (112 MLyr−1) if only evergreen trees are planted. This study highlights both the additional benefits of public street trees and the differences in deciduous and evergreen trees which should be accounted for by policy makers.
Details
- Language :
- English
- ISSN :
- 26174782
- Volume :
- 2
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Blue-Green Systems
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.98693f3fd57f4b94a0cf3696898e2b6f
- Document Type :
- article
- Full Text :
- https://doi.org/10.2166/bgs.2020.006