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Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models

Tiwari, Arvind, Kumar, Prashant, Baldauf, Richard, Zhang, K. Max, Pilla, Francesco, Di Sabatino, Silvana, Brattich, Erika and Pulvirenti, Beatrice (2019) Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models SCIENCE OF THE TOTAL ENVIRONMENT, 672. pp. 410-426.

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Abstract

Green infrastructure (GI) in urban areas may be adopted as a passive control system to reduce air pollutant concentrations. However, current dispersion models offer limited modelling options to evaluate its impact on ambient pollutant concentrations. The scope of this review revolves around the following question: how can GI be considered in readily available dispersion models to allow evaluation of its impacts on pollutant concentrations and health risk assessment? We examined the published literature on the parameterisation of deposition velocities and datasets for both particulate matter and gaseous pollutants that are required for deposition schemes. We evaluated the limitations of different air pollution dispersion models at two spatial scales – microscale (i.e. 10–500 m) and macroscale (i.e. 5–100 km) - in considering the effects of GI on air pollutant concentrations and exposure alteration. We conclude that the deposition schemes that represent GI impacts in detail are complex, resource-intensive, and involve an abundant volume of input data. An appropriate handling of GI characteristics (such as aerodynamic effect, deposition of air pollutants and surface roughness) in dispersion models is necessary for understanding the mechanism of air pollutant concentrations simulation in presence of GI at different spatial scales. The impacts of GI on air pollutant concentrations and health risk assessment (e.g., mortality, morbidity) are partly explored. The i-Tree tool with the BenMap model has been used to estimate the health outcomes of annually-averaged air pollutant removed by deposition over GI canopies at the macroscale. However, studies relating air pollution health risk assessments due to GI-related changes in short-term exposure, via pollutant concentrations redistribution at the microscale and enhanced atmospheric pollutant dilution by increased surface roughness at the macroscale, along with deposition, are rare. Suitable treatments of all physical and chemical processes in coupled dispersion-deposition models and assessments against real-world scenarios are vital for health risk assessments.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
NameEmailORCID
Tiwari, Arvinda.tiwari@surrey.ac.uk
Kumar, PrashantP.Kumar@surrey.ac.uk
Baldauf, Richard
Zhang, K. Max
Pilla, Francesco
Di Sabatino, Silvana
Brattich, Erika
Pulvirenti, Beatrice
Date : 26 March 2019
Funders : European Community's H2020 Programme (H2020-SC5-04-2015)
DOI : 10.1016/j.scitotenv.2019.03.350
Copyright Disclaimer : © 2019 Elsevier B.V. All rights reserved.
Uncontrolled Keywords : Microscale model; Macroscale model; Green infrastructure; Deposition velocity; Dispersion-deposition coupled model; Air pollution health risk assessment
Depositing User : Diane Maxfield
Date Deposited : 12 Apr 2019 09:56
Last Modified : 06 Jul 2019 05:26
URI: http://epubs.surrey.ac.uk/id/eprint/851059

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