T. Krupnova, A. Bulanova, T. Makarovskikh, A. V. Herreinstein
{"title":"Urban air pollution modeling: a critical review","authors":"T. Krupnova, A. Bulanova, T. Makarovskikh, A. V. Herreinstein","doi":"10.25750/1995-4301-2022-1-027-033","DOIUrl":null,"url":null,"abstract":"Industrial and transport emissions are the main sources of air pollution in large cities, causing significant risks to human health. Minimizing risks requires information on the distribution and physico-chemical characteristics of emissions. Spatial and temporal detailed data are required because the intensity and composition of emissions varies greatly with time of day and local variations in wind, traffic composition and flow. There are modern mathematical models that simulate the behavior of emissions from industrial plants and traffic flows with a high degree of resolution. The chemistry of the simulated emissions has also been largely resolved by taking into account photochemical reactions as well as dry and wet deposition processes. This review presents concepts of urban air pollution monitoring, and analyses and summarizes new insights of real-time air pollutants concentrations. This research is expected to open a door for creating smart cities and digital twins for effective management of environmental risks in an urbanized area. The reviewed studies were classified by various modeling approaches such as statistical and analytical models which give the best prediction results. We find that air pollution monitoring and assessment techniques for calculating air concentrations were successfully used to study temporal and spatial changes in pollutant concentrations. In the same time, it is impossible to create a universal analytical model for predicting the concentrations of pollutants anywhere and for any condition. The outcome of this study will help engineers and researchers develop air pollution forecasts concept.","PeriodicalId":22937,"journal":{"name":"Theoretical and Applied Ecology","volume":"1 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical and Applied Ecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25750/1995-4301-2022-1-027-033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 2
Abstract
Industrial and transport emissions are the main sources of air pollution in large cities, causing significant risks to human health. Minimizing risks requires information on the distribution and physico-chemical characteristics of emissions. Spatial and temporal detailed data are required because the intensity and composition of emissions varies greatly with time of day and local variations in wind, traffic composition and flow. There are modern mathematical models that simulate the behavior of emissions from industrial plants and traffic flows with a high degree of resolution. The chemistry of the simulated emissions has also been largely resolved by taking into account photochemical reactions as well as dry and wet deposition processes. This review presents concepts of urban air pollution monitoring, and analyses and summarizes new insights of real-time air pollutants concentrations. This research is expected to open a door for creating smart cities and digital twins for effective management of environmental risks in an urbanized area. The reviewed studies were classified by various modeling approaches such as statistical and analytical models which give the best prediction results. We find that air pollution monitoring and assessment techniques for calculating air concentrations were successfully used to study temporal and spatial changes in pollutant concentrations. In the same time, it is impossible to create a universal analytical model for predicting the concentrations of pollutants anywhere and for any condition. The outcome of this study will help engineers and researchers develop air pollution forecasts concept.
期刊介绍：
The aim of issuing the journal “Theoretical and Applied Ecology” is informational support of fundamental and applied research conducted on regional, federal and international level in the sphere of ecologically safe development of industry, preserving the mineral resources and biosphere sustainability, as well as of a well-though way of consumption of natural resources. The journal sets a very important task – to put together theoretical and applied issues of Ecology and Nature Management, uniting the creative potential of those people and organizations which are interested in preserving the nature and providing ecological safety. The articles published in the journal generalize the most contemporary experience of certain organization and specialists in the sphere of nature management. The journal lets a wide range of readers, scientists, representatives of legislative and executive branches get to know the research results. One of the main tasks of the editorial board of the journal consists in increasing the quality of the journal and to inform people of the journal with the help of the Map of Science of Russia: through increasing the amount of scientific reviews dealing with the most topical spheres of Ecology, ecological safety, effective nature management, through publishing articles of the authors most ofter referred to, striving to being indexed in international databases in accordance with all the international standards and requirements of the citation indexes Scopus and/or Web of Science, inclusion of the journal in these informational databases and of the basis of agents of other electronic resources.
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