Assessing particle dry deposition in an urban environment by using dispersion models

摘要: Abstract Deposited particles can potentially increase loads of nutrients or harmful compounds in the environment, and be a source nuisance to human populations. To estimate particle deposition flux, dispersion models usually include specific algorithms that consider meteorological conditions, land use, characteristics such as size distribution, density diffusivity air. In this study, two Gaussian models, AERMOD CALPUFF, were evaluated determine their accuracy predicting fluxes. We compared outcomes with one year field experimental data obtained an urban region moderately complex terrain. As rely on emission inventories which do not often contribution fugitive sources, validation by using are compromised. This drawback procedure overcome receptor model results identify apportionment exclude from observational data. With procedure, default parameters recommended for each model, showed better agreement (0.35 FB, −0.05 FSD, 0.66 NMSE, 0.47 COC) than CALPUFF (−0.60 −1.33 1.05 0.38 COC). Sensitivity tests performed investigate order revealed fluxes varied up 220% 16,376% according distribution.