Author
Listed:
- Anjaneyulu Yerramilli
(Trent Lott Geospatial Visualization Research Centre, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA)
- Venkata B. Dodla
(Trent Lott Geospatial Visualization Research Centre, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA)
- Srinivas Desamsetti
(Trent Lott Geospatial Visualization Research Centre, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA)
- Srinivas V. Challa
(Trent Lott Geospatial Visualization Research Centre, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA)
- John H. Young
(Trent Lott Geospatial Visualization Research Centre, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA)
- Chuck Patrick
(Trent Lott Geospatial Visualization Research Centre, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA)
- Julius M. Baham
(Trent Lott Geospatial Visualization Research Centre, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA)
- Robert L. Hughes
(Trent Lott Geospatial Visualization Research Centre, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA)
- Sudha Yerramilli
(College of Science, Engineering and Technology, Jackson State University, Jackson, MS 39217, USA)
- Francis Tuluri
(National Center for Biodefense Communications, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA)
- Mark G. Hardy
(National Center for Biodefense Communications, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA)
- Shelton J. Swanier
(National Center for Biodefense Communications, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA)
Abstract
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.
Suggested Citation
Anjaneyulu Yerramilli & Venkata B. Dodla & Srinivas Desamsetti & Srinivas V. Challa & John H. Young & Chuck Patrick & Julius M. Baham & Robert L. Hughes & Sudha Yerramilli & Francis Tuluri & Mark G. H, 2011.
"Air Quality Modeling for the Urban Jackson, Mississippi Region Using a High Resolution WRF/Chem Model,"
IJERPH, MDPI, vol. 8(6), pages 1-21, June.
Handle:
RePEc:gam:jijerp:v:8:y:2011:i:6:p:2470-2490:d:12900
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