Simulation of smoke plumes from agricultural burns: application to the San Luis/Rio Colorado airshed along the U.S./Mexico border.
Vegetation fires emit a number of air pollutants, thus impacting air quality at local, regional and global scales. One such pollutant is the particulate matter (PM) that is known to trigger adverse health effects. In this study, the CALPUFF/CALMET/MM5 modeling system is employed to simulate PM(10) dispersion (PM with aerodynamic diameter less than 10 microm) from agricultural fires in the Yuma/San Luis area along the U.S./Mexico border, with the aim of investigating local and regional air quality impacts of fires. To the extent possible the data collected from and observations made in the study area were employed to infer inputs to the modeling system, but insufficient information available on burning practices and input parameters, such as the duration of fire, PM(10) emission rate and plume rise, necessitated relying on some previously published research as well as the Fire Emission Production Simulator (FEPS) model to provide necessary inputs. Under the simulated conditions the fire plumes did not disperse much, and thus mostly affected the area near the sources. The PM impact of fires on populated (receptor) areas in Yuma/San Luis was less than 15 microg/m(3), calculated on the basis of EPA-recommended 24-hr averaged PM(10). If the formation of secondary particles is considered, the impacts could have been greater. In order to conduct more realistic fire plume simulations, it is imperative to have accurate fire-activity records such as the firing technique applied, fuel condition, time of burning as well as some model updates. In all, this paper presents a methodology for calculating agricultural-burns introduced PM, while identifying critical improvements that need to be made in future work.
Choi
Yu-Jin
YJ
Environmental Fluid Dynamics Program, Department of Mechanical & Aerospace Engineering, Arizona State University, Tempe, AZ 85287-9809, USA. yjchoi@sdi.re.kr
Fernando
H J S
HJ
D000383:Agriculture / Q000379:methods*; D000393:Air Pollutants / Q000032:analysis*; D003198:Computer Simulation; D008800:Mexico; D008962:Models, Theoretical; D012906:Smoke / Q000032:analysis*; D014481:United States
D000393:Air Pollutants; D012906:Smoke