Modeling to Measure the Diffusion Distance of Particulate Matter 2.5 from Combustion of Agricultural Areas
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Abstract
This research aims to establish a predictive model for determining the dispersion distance of PM 2.5 emissions resulting from burning activities in agricultural areas, with a focus on applications in Nakhon Sawan province. The primary objective is to provide a robust tool for forecasting PM 2.5 accumulation and developing effective control plans to mitigate its environmental and health impacts. The Gaussian Plume Model forms the foundation of this study, offering a structured approach to analyzing pollutant dispersion across varying distances. The model evaluates dispersion at eight specific intervals along the x-axis: 125 meters, 250 meters, 375 meters, 500 meters, 675 meters, 750 meters, 875 meters, and 1,000 meters, identifying 675 meters as the optimal dispersion distance. Wind speed, a critical factor in the model, is categorized into three levels: light, moderate, and strong. At two reference locations (latitude 15.85902, longitude 100.6547 and latitude 15.84715, longitude 100.6347), PM 2.5 concentrations were calculated for each wind level. Results show identical values across both locations, with concentrations measured at 0.00245 micrograms per cubic meter under light winds, 0.00095 micrograms per cubic meter under moderate winds, and 0.00049 micrograms per cubic meter under strong winds. These findings underline the Gaussian Plume Model's capability in accurately predicting pollutant dispersion and contribute valuable insights for environmental management in agricultural regions.
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