2.2.4. Fugitive Dust ModelThe validated Fugitive Dust Model (FDM) was used to predict ground level PM10 and PM2.5 concentrations in Saranda region (Chaulya et al., 2001, 2003). FDM is a computerized Gaussian plume dispersion model, specifically developed by the United States Environmental Protection Agency (USEPA) for the evaluation of particulate matter concentrations (USEPA, 1995). The model illustrates a detailed deposition based on the equations of Ermak (1977). The model may use point, linear or area sources. The model can process up to 1200 receptors and 121 sources. The linear and area sources are based on algorithms in the CALINE3 model (California Department of Transportation, 1979). FDM utilizes an advanced algorithm with gradient transfer of particle deposition (Horst, 1977; Hanna et al., 1982). The Pasquill and Gifford modified formula for ground level particle emission pertinent to opencast mines is described (Peavy et al., 1985)below:
2.2.4. Fugitive Dust Model<br>The validated Fugitive Dust Model (FDM) was used to predict ground level PM10 and PM2.5 concentrations in Saranda region (Chaulya et al., 2001, 2003). FDM is a computerized Gaussian plume dispersion model, specifically developed by the United States Environmental Protection Agency (USEPA) for the evaluation of particulate matter concentrations (USEPA, 1995). The model illustrates a detailed deposition based on the equations of Ermak (1977). The model may use point, linear or area sources. The model can process up to 1200 receptors and 121 sources. The linear and area sources are based on algorithms in the CALINE3 model (California Department of Transportation, 1979). FDM utilizes an advanced algorithm with gradient transfer of particle deposition (Horst, 1977; Hanna et al., 1982). The Pasquill and Gifford modified formula for ground level particle emission pertinent to opencast mines is described (Peavy et al., 1985)<br>下面:
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