4.7 Review

Review on pollutant dispersion in urban areas-part B: Local mitigation strategies, optimization framework, and evaluation theory

期刊

BUILDING AND ENVIRONMENT
卷 198, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2021.107890

关键词

Pollutant dispersion; Local mitigation strategy; Optimization framework; Evaluation theory; Urban design

资金

  1. National Key Research and Development Plan (Key Special Project of the Inter-governmental National Scientific and Technological Innovation Cooperation) [2019YFE0197500]
  2. National Natural Science Foundation of China [51778511, 51778253]
  3. European Commission H2020 Marie S Curie Research and Innovation Staff Exchange (RISE) award [871998]
  4. Hubei Provincial Natural Science Foundation of China [2018CFA029]
  5. Key Project of ESI Discipline Development of Wuhan University of Technology [2017001]
  6. Fundamental Research Funds for the Central Universities [2019IVB082]

向作者/读者索取更多资源

Outdoor air pollution is a significant global issue, and research is being conducted to develop local mitigation strategies to improve air quality. The studies primarily focus on improving pollutant dispersion, controlling source-receptor pathways, and capturing pollutants to reduce air pollution.
Outdoor air pollution is a significant global issue because it poses a major long-term health risk. A growing number of studies are conducted to develop local mitigation strategies for improving air quality. This review paper critically evaluates the available literature to provide a better understanding of potential local mitigation strategies and ascertain the methods for reducing local air pollution exposure. For these purposes, the first part of the review is categorized into three groups: (i) improving urban ventilation and turbulence level for pollutant dispersion. (ii) controlling source-receptor pathways by constructing barriers. (iii) capturing and mitigating air pollution by introducing pollutant sinks. Subsequently, a series of studies on optimization frameworks are summarized. It is found that surrogate model-based optimization frameworks efficiently handle multi-objective optimizations at a low computational cost. Finally, this review examines publications on the evaluation theory for pollutant dispersion to determine feasible methods for the removal of pollutants from urban areas. This study is useful for urban planners and architects responsible for decision-making.

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