Author/Authors :
Eugene Kim، نويسنده , , Timothy Larson، نويسنده ,
Abstract :
A plume model is presented describing the downwind transport of large particles (1–100 μm) under stable conditions. The model includes both vertical variations in wind speed and turbulence intensity as well as an algorithm for particle deposition at the surface. Model predictions compare favorably with the Hanford single and dual tracer experiments of crosswind integrated concentration (for particles: relative bias=−0.02 and 0.16, normalized mean square ERROR=0.61 and 0.14, for the single and dual tracer experiments, respectively), whereas the US EPAʹs fugitive dust model consistently overestimates the observed concentrations at downwind distances beyond several hundred meters (for particles: relative BIAS=0.31 and 2.26, mean square ERROR=0.42 and 1.71, respectively). For either plume model, the measured ratio of particle to gas concentration is consistently overestimated when using the deposition velocity algorithm of Sehmel and Hodgson (1978. DOE Report PNL-SA-6721, Pacific Northwest Laboratories, Richland, WA). In contrast, these same ratios are predicted with relatively little bias when using the algorithm of Kim et al. (2000. Atmospheric Environment 34 (15), 2387–2397).
Keywords :
Monte Carlo model , Fugitive Dust Model (FDM) , Particle deposition , Plume Model , Hanford tracer experiments