Strategy for Modeling Airborne Particulate Matter from Mines
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초록
This study presents a strategy for an airborne particulate matter (PM) modeling system for mine air quality prediction and source apportionment. The model must incorporate PM dispersion models to simulate chemical transport, spatiotemporal distributions, and source identification of PM emitted from mines. The elements of this strategy comprise effective mathematical expression of PM dispersion, model procedures, data assimilation, and evaluation, as well as source apportionment. An effective strategy recommended by this article for air quality modeling, focused on PM from mining, includes selecting a small-scale outdoor air quality model, which may be combined with an indoor computational fluid dynamics model, geographic and meteorological data, and applicable source apportionment techniques.
Abstract
This study presents a strategy for an airborne particulate matter (PM) modeling system for mine air quality prediction and source apportionment. The model must incorporate PM dispersion models to simulate chemical transport, spatiotemporal distributions, and source identification of PM emitted from mines. The elements of this strategy comprise effective mathematical expression of PM dispersion, model procedures, data assimilation, and evaluation, as well as source apportionment. An effective strategy recommended by this article for air quality modeling, focused on PM from mining, includes selecting a small-scale outdoor air quality model, which may be combined with an indoor computational fluid dynamics model, geographic and meteorological data, and applicable source apportionment techniques.
참고문헌 (21)
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