Comparison, Evaluation and Use of AERMOD Model for Estimating Ambient Air Concentrations of Sulfur Dioxide, Nitrogen Dioxide and Particulate Matter for Lucas County

 
 
 
 

Comparison, Evaluation and Use of AERMOD Model for Estimating Ambient Air Concentrations of Sulfur Dioxide, Nitrogen Dioxide and Particulate Matter for Lucas County

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dc.contributor.advisor Kumar, Ashok en_US
dc.contributor.author Jampana, Siva Sailaja en_US
dc.date.accessioned 2008-07-10T17:54:59Z
dc.date.available 2008-07-10T17:54:59Z
dc.date.created 2004 en_US
dc.date.issued 2008-07-10T17:54:59Z
dc.identifier.uri http://rave.ohiolink.edu/etdc/view?acc_num=toledo1085620811 en_US
dc.identifier.uri http://hdl.handle.net/2374.OX/19313
dc.description The AERMOD model is evaluated using data from an emission inventory of Lucas County, Ohio for the year 1990, which included actual air pollutant emissions of sulfur dioxide, oxides of nitrogen and particulates. AERMOD is further used to predict 3-hr, monthly, quarterly and annual averages of sulfur dioxide concentrations. For the 3-hr averaging period evaluation for SO2, data has been classified into stable and convective groups based on Monin-Obukhov length, a stability parameter. Uncertainties associated with the model predictions are estimated using the bootstrap resampling method. Confidence intervals on the fractional mean bias, normalized mean square error, geometric mean bias and geometric variance are calculated for each model and difference between models. NMSE versus FB plots are drawn to find whether the model overpredicts or underpredicts. AERMOD did not yield good performance in its prediction of 3-hr and 24-hr average concentrations of the datasets used. The model tended to underpredict in both the stable and convective cases. However, there are equal numbers of overpredictions in the convective case. en_US
dc.format application/pdf en_US
dc.format 131p. en_US
dc.rights unrestricted en_US
dc.rights Copyright and permissions information available at the source archive en_US
dc.subject Dispersion Modeling en_US
dc.subject AERMOD Model Comparison en_US
dc.title Comparison, Evaluation and Use of AERMOD Model for Estimating Ambient Air Concentrations of Sulfur Dioxide, Nitrogen Dioxide and Particulate Matter for Lucas County en_US
dc.type Electronic Thesis or Dissertation en_US
dc.degree.name MS en_US
dc.degree.level masters en_US
dc.degree.discipline Civil Engineering en_US
dc.degree.grantor University of Toledo en_US
dc.contributor.publisher University of Toledo / OhioLINK en_US

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