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Bulletin of UASVM Agriculture
Year: 2010  |  Volume: 67  |  Issue: 2  |  Page No.: 479 - 479

A Model for Establishing the Pollutants Dispersion Implemented in MEMDUR System

Dorin CARSTOIU, Gabriel GORGHIU and Carmen Leane NICOLESCU    

Abstract: A series of local and regional scale dispersion models that are used in the frame of the Air Pollution Forecast System are developed in Romania with the view to forecast the air pollution. Near the predictions, the models must perform retrospective analysis, public information and alerting (especially when the pollution degree exceeds the maximum allowed concentrations). The system is operational for any urban or rural area where an inventory of the emissions is realized. In those cases, the mathematical modeling considers into calculus the pollutants dispersion and estimates the pollutant concentrations at ground and distant levels in a strong relation to the sources characteristics, atmospheric conditions, physico-chemical transformations suffered by the pollutants in atmosphere and interaction with the land surface. An analysis of the pollution status is performed in Dambovita County for the most important pollutants with a major influence on population health (CO, NO, NO2, SO2 and PM10 dusts). The analysis is made by the MEMDUR management system, designed in the frame of the National Research project: “Sustainable Management System of Resources Used for Monitoring and Evaluating the Environmental Risks in Order to Prevent the Negative Effects and to Manage Crises Situations”. In this case, for determining the zones were the pollution level generated by the stationary pollution sources reaches the maximum values, a Gaussian mathematical model is used (Nicolescu et al., 2008). The model takes into account the source-related factors and the meteorological ones for estimating the pollutant concentration from the stationary sources, using an exponential equation (Abdel-Rahman, 2008). The wind speed represents the core parameter of the model due to its influence on the dispersion (Straja, 1994). But this model makes possible also to determine the ground level concentrations at any receptor point in the analyzed region. The distribution of the concentration becomes available by computing the corresponding values registered at various receptors and summarizing the recorded values.

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