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Air Quality Modeling for the Urban Jackson, Mississippi Region Using a High Resolution WRF/Chem Model

In this study, an attempt was made to simulate the air quality with reference to ozone over the Jackson (Mississippi) region using an online WRF/Chem (Weather Research and Forecasting–Chemistry) model. The WRF/Chem model has the advantages of the integration of the meteorological and chemistry modul...

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Detalles Bibliográficos
Autores principales: Yerramilli, Anjaneyulu, Dodla, Venkata B., Desamsetti, Srinivas, Challa, Srinivas V., Young, John H., Patrick, Chuck, Baham, Julius M., Hughes, Robert L., Yerramilli, Sudha, Tuluri, Francis, Hardy, Mark G., Swanier, Shelton J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3138035/
https://www.ncbi.nlm.nih.gov/pubmed/21776240
http://dx.doi.org/10.3390/ijerph8062470
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author Yerramilli, Anjaneyulu
Dodla, Venkata B.
Desamsetti, Srinivas
Challa, Srinivas V.
Young, John H.
Patrick, Chuck
Baham, Julius M.
Hughes, Robert L.
Yerramilli, Sudha
Tuluri, Francis
Hardy, Mark G.
Swanier, Shelton J.
author_facet Yerramilli, Anjaneyulu
Dodla, Venkata B.
Desamsetti, Srinivas
Challa, Srinivas V.
Young, John H.
Patrick, Chuck
Baham, Julius M.
Hughes, Robert L.
Yerramilli, Sudha
Tuluri, Francis
Hardy, Mark G.
Swanier, Shelton J.
author_sort Yerramilli, Anjaneyulu
collection PubMed
description In this study, an attempt was made to simulate the air quality with reference to ozone over the Jackson (Mississippi) region using an online WRF/Chem (Weather Research and Forecasting–Chemistry) model. The WRF/Chem model has the advantages of the integration of the meteorological and chemistry modules with the same computational grid and same physical parameterizations and includes the feedback between the atmospheric chemistry and physical processes. The model was designed to have three nested domains with the inner-most domain covering the study region with a resolution of 1 km. The model was integrated for 48 hours continuously starting from 0000 UTC of 6 June 2006 and the evolution of surface ozone and other precursor pollutants were analyzed. The model simulated atmospheric flow fields and distributions of NO(2) and O(3) were evaluated for each of the three different time periods. The GIS based spatial distribution maps for ozone, its precursors NO, NO(2), CO and HONO and the back trajectories indicate that all the mobile sources in Jackson, Ridgeland and Madison contributing significantly for their formation. The present study demonstrates the applicability of WRF/Chem model to generate quantitative information at high spatial and temporal resolution for the development of decision support systems for air quality regulatory agencies and health administrators.
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spelling pubmed-31380352011-07-20 Air Quality Modeling for the Urban Jackson, Mississippi Region Using a High Resolution WRF/Chem Model Yerramilli, Anjaneyulu Dodla, Venkata B. Desamsetti, Srinivas Challa, Srinivas V. Young, John H. Patrick, Chuck Baham, Julius M. Hughes, Robert L. Yerramilli, Sudha Tuluri, Francis Hardy, Mark G. Swanier, Shelton J. Int J Environ Res Public Health Article In this study, an attempt was made to simulate the air quality with reference to ozone over the Jackson (Mississippi) region using an online WRF/Chem (Weather Research and Forecasting–Chemistry) model. The WRF/Chem model has the advantages of the integration of the meteorological and chemistry modules with the same computational grid and same physical parameterizations and includes the feedback between the atmospheric chemistry and physical processes. The model was designed to have three nested domains with the inner-most domain covering the study region with a resolution of 1 km. The model was integrated for 48 hours continuously starting from 0000 UTC of 6 June 2006 and the evolution of surface ozone and other precursor pollutants were analyzed. The model simulated atmospheric flow fields and distributions of NO(2) and O(3) were evaluated for each of the three different time periods. The GIS based spatial distribution maps for ozone, its precursors NO, NO(2), CO and HONO and the back trajectories indicate that all the mobile sources in Jackson, Ridgeland and Madison contributing significantly for their formation. The present study demonstrates the applicability of WRF/Chem model to generate quantitative information at high spatial and temporal resolution for the development of decision support systems for air quality regulatory agencies and health administrators. Molecular Diversity Preservation International (MDPI) 2011-06 2011-06-23 /pmc/articles/PMC3138035/ /pubmed/21776240 http://dx.doi.org/10.3390/ijerph8062470 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Yerramilli, Anjaneyulu
Dodla, Venkata B.
Desamsetti, Srinivas
Challa, Srinivas V.
Young, John H.
Patrick, Chuck
Baham, Julius M.
Hughes, Robert L.
Yerramilli, Sudha
Tuluri, Francis
Hardy, Mark G.
Swanier, Shelton J.
Air Quality Modeling for the Urban Jackson, Mississippi Region Using a High Resolution WRF/Chem Model
title Air Quality Modeling for the Urban Jackson, Mississippi Region Using a High Resolution WRF/Chem Model
title_full Air Quality Modeling for the Urban Jackson, Mississippi Region Using a High Resolution WRF/Chem Model
title_fullStr Air Quality Modeling for the Urban Jackson, Mississippi Region Using a High Resolution WRF/Chem Model
title_full_unstemmed Air Quality Modeling for the Urban Jackson, Mississippi Region Using a High Resolution WRF/Chem Model
title_short Air Quality Modeling for the Urban Jackson, Mississippi Region Using a High Resolution WRF/Chem Model
title_sort air quality modeling for the urban jackson, mississippi region using a high resolution wrf/chem model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3138035/
https://www.ncbi.nlm.nih.gov/pubmed/21776240
http://dx.doi.org/10.3390/ijerph8062470
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