Literature DB >> 30081363

Multilayer urban canopy modelling and mapping for traffic pollutant dispersion at high density urban areas.

Chao Yuan1, Ruiqin Shan2, Yangyang Zhang2, Xian-Xiang Li3, Tiangang Yin4, Jian Hang5, Leslie Norford6.   

Abstract

A semi-empirical multilayer urban canopy model is developed to estimate the vertical dispersion of traffic emissions in high density urban areas. It is motivated by the heterogeneity of urban morphology in real urban cities and the need of quick urban design and planning. The urban canopy is divided into multiple layers, to include the impact of building height variance on pollutant dispersion. The model is derived by mass conservation within each layer through adopting a box model. To validate the model, results in several cases with uniform and non-uniform building height distributions are compared with CFD simulations. The validation study indicates that the assumption of zero pollutant concentration over the modeled canopy and no horizontal pollutant transfer has increasingly negligible influence with increasing urban densities. The new multilayer model performs well to model the vertical pollutant transport, and modelling results can mostly follow the trend of the CFD simulations. The present paper conducts two case studies in metropolitan areas in Singapore and Hong Kong to illustrate how to implement this multilayer urban canopy model in the planning practice. With an in-house GIS team using available data, the multilayer model provides planners a way to understand air pollutant dispersion in high-density urban areas.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Building height variance; Multilayer urban canopy model; Semi-empirical model; Traffic pollutant dispersion

Year:  2018        PMID: 30081363     DOI: 10.1016/j.scitotenv.2018.07.409

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Assessing 3-D Spatial Extent of Near-Road Air Pollution around a Signalized Intersection Using Drone Monitoring and WRF-CFD Modeling.

Authors:  Seung-Hyeop Lee; Kyung-Hwan Kwak
Journal:  Int J Environ Res Public Health       Date:  2020-09-22       Impact factor: 3.390

  1 in total

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