Keywords
air pollution, ecological monitoring, web application, meteorology
Start Date
1-7-2008 12:00 AM
Abstract
The limitations of the widespread methods of air pollution level estimation allow producing quite rough air quality estimations for the areas not covered by observation stations. Application of the computational models to this purpose requires usage of the meteorological observations, atmospheric emissions of industrial enterprises, measurements of the concentration of the atmospheric pollutants as well as the numerical modelling of the gaseous substance transformation and transport processes. High accuracy of estimation and forecast of air quality for such models are achieved with the use of information on pollutant emission from sources within the city and distribution of the meteorological parameters obtained with the use of model of atmospheric boundary layer. In this report the results of the work devoted to creation of the web-system (http://air.risks.scert.ru/tomsk-mkg/) for effective air chemical composition assessment and forecast in the conditions of industrial city area and its suburbia are presented. Tomsk city air pollution estimation data obtained as an output of the pollution transport mathematical model has been employed as a research basis for selected periods from 2000 to 2006. The air quality model is based on prognostic transport equations taking into account chemical reactions of air pollutants on the basis of reduced model of chemical reactions. Dynamic and thermal characteristics of the atmospheric boundary layer (ABL) are calculated on the basis of simplified model of urban ABL. Working version of the dedicated web-application has been created based on the web-portal ATMOS engine. At present it allows to estimate such characteristics as average monthly and seasonal pollutions for chosen time interval of the day along with their yearly dynamics as well as daily dynamics for various pollutants such as sulphur dioxide, nitric oxide, carbon monoxide, dust, etc. The web-system being considered could be used for long duration ecological risks assessment as well as for calculation of pollution scenarios resulted from different technological breakdown events for various meteorological conditions.
Web-system for air quality assessment of the city area based on the mathematical modeling data
The limitations of the widespread methods of air pollution level estimation allow producing quite rough air quality estimations for the areas not covered by observation stations. Application of the computational models to this purpose requires usage of the meteorological observations, atmospheric emissions of industrial enterprises, measurements of the concentration of the atmospheric pollutants as well as the numerical modelling of the gaseous substance transformation and transport processes. High accuracy of estimation and forecast of air quality for such models are achieved with the use of information on pollutant emission from sources within the city and distribution of the meteorological parameters obtained with the use of model of atmospheric boundary layer. In this report the results of the work devoted to creation of the web-system (http://air.risks.scert.ru/tomsk-mkg/) for effective air chemical composition assessment and forecast in the conditions of industrial city area and its suburbia are presented. Tomsk city air pollution estimation data obtained as an output of the pollution transport mathematical model has been employed as a research basis for selected periods from 2000 to 2006. The air quality model is based on prognostic transport equations taking into account chemical reactions of air pollutants on the basis of reduced model of chemical reactions. Dynamic and thermal characteristics of the atmospheric boundary layer (ABL) are calculated on the basis of simplified model of urban ABL. Working version of the dedicated web-application has been created based on the web-portal ATMOS engine. At present it allows to estimate such characteristics as average monthly and seasonal pollutions for chosen time interval of the day along with their yearly dynamics as well as daily dynamics for various pollutants such as sulphur dioxide, nitric oxide, carbon monoxide, dust, etc. The web-system being considered could be used for long duration ecological risks assessment as well as for calculation of pollution scenarios resulted from different technological breakdown events for various meteorological conditions.
