An integrated WRF/HYSPLIT modeling approach for the assessment of PM2.5 source regions over the Mississippi Gulf Coast region
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- 作者：Anjaneyulu Yerramilli (1)
Venkata Bhaskar Rao Dodla (1)
Venkata Srinivas Challa (3)
LaToya Myles (2)
William R. Pendergrass (2)
Christoph A. Vogel (2)
Hari Prasad Dasari (1)
Francis Tuluri (1)
Julius M. Baham (1)
Robert L. Hughes (1)
Chuck Patrick (1)
John H. Young (1)
Shelton J. Swanier (1)
Mark G. Hardy (1) - 关键词：WRF–HYSPLIT simulation ; PM2.5 ; Source identification ; Pollutant dispersion
- 刊名：Air Quality, Atmosphere & Health
- 出版年：2012
- 出版时间：December 2012
- 年：2012
- 卷：5
- 期：4
- 页码：401-412
- 全文大小：923KB
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Venkata Bhaskar Rao Dodla (1)
Venkata Srinivas Challa (3)
LaToya Myles (2)
William R. Pendergrass (2)
Christoph A. Vogel (2)
Hari Prasad Dasari (1)
Francis Tuluri (1)
Julius M. Baham (1)
Robert L. Hughes (1)
Chuck Patrick (1)
John H. Young (1)
Shelton J. Swanier (1)
Mark G. Hardy (1)
1. Trent Lott Geospatial and Visualization Research Center, College of Science Engineering and Technology, Jackson State University, Jackson, MS, 39217, USA
3. Radiological Safety Division, Indira Gandhi Centre for Atomic Research, Kalpakkam, 603102, India
2. Air Resources Laboratory, Atmospheric Turbulence & Diffusion Division, NOAA, Oak Ridge, TN, USA - ISSN：1873-9326
文摘
Fine particulate matter (PM2.5) is majorly formed by precursor gases, such as sulfur dioxide (SO2) and nitrogen oxides (NOx), which are emitted largely from intense industrial operations and transportation activities. PM2.5 has been shown to affect respiratory health in humans. Evaluation of source regions and assessment of emission source contributions in the Gulf Coast region of the USA will be useful for the development of PM2.5 regulatory and mitigation strategies. In the present study, the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model driven by the Weather Research & Forecasting (WRF) model is used to identify the emission source locations and transportation trends. Meteorological observations as well as PM2.5 sulfate and nitric acid concentrations were collected at two sites during the Mississippi Coastal Atmospheric Dispersion Study, a summer 2009 field experiment along the Mississippi Gulf Coast. Meteorological fields during the campaign were simulated using WRF with three nested domains of 36, 12, and 4?km horizontal resolutions and 43 vertical levels and validated with North American Mesoscale Analysis. The HYSPLIT model was integrated with meteorological fields derived from the WRF model to identify the source locations using backward trajectory analysis. The backward trajectories for a 24-h period were plotted at 1-h intervals starting from two observation locations to identify probable sources. The back trajectories distinctly indicated the sources to be in the direction between south and west, thus to have origin from local Mississippi, neighboring Louisiana state, and Gulf of Mexico. Out of the eight power plants located within the radius of 300?km of the two monitoring sites examined as sources, only Watson, Cajun, and Morrow power plants fall in the path of the derived back trajectories. Forward dispersions patterns computed using HYSPLIT were plotted from each of these source locations using the hourly mean emission concentrations as computed from past annual emission strength data to assess extent of their contribution. An assessment of the relative contributions from the eight sources reveal that only Cajun and Morrow power plants contribute to the observations at the Wiggins Airport to a certain extent while none of the eight power plants contribute to the observations at Harrison Central High School. As these observations represent a moderate event with daily average values of 5-?μg?m? for sulfate and 1-?μg?m? for HNO3 with differences between the two spatially varied sites, the local sources may also be significant contributors for the observed values of PM2.5.