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Development of small-scale dispersion models
This research program is designed to understand dispersion of particles and gases in the atmospheric boundary layer. This understanding is obtained through numerical simulation of particle motion using Lagrangian stochastic models. The statistics of particle motion are then used to derive parameterizations to estimate concentrations of releases in the atmospheric boundary layer. The results of these numerical simulations have been compared with observations from field experiments using tracers. As part of the experimental program, we have set up a 10 meter instrumented tower to measure micrometeorological variables used in the dispersion models.
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Application of dispersion models
In this research program, funded by the California Air Resources Board, dispersion models are being used to estimate emissions of particulate matter from paved roads; these emissions are believed to contribute about 30% to the total emissions in major urban areas, such as Los Angeles. We have conducted a series of programs in which vertical profiles of particulate concentrations have been measured upwind and downwind of paved roads. This information combined with meteorological data collected at these sites is processed with dispersion models to obtain emission rates. These emission rates have been compared with results from existing emission models. We are currently involved in understanding the origin of particulate emissions from paved roads.
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Development of comprehensive photochemical models
In this program, we are developing comprehensive photochemical models that are designed to overcome some of the problems with existing models. We are focusing on improving the computational efficiency of these models both in terms of run time as well as code structure. We have written the code in C++ to enhance modularity and maintainability of the code. We have also designed the code to allow parallel computing on several PCs. The new code is being used to understand photochemical processes in the Lake Michigan area.
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Development of simplified photochemical models
In this program, funded by the Electric Power Research Institute, we are developing simplified photochemical models that can be used to provide quick estimates of the effects of precursor emission control. These simplified models, which can be used to screen cases for further study with comprehensive models, have been developed by separating transport and chemistry using a newly developed technique. The results from simplified models have been evaluated through comparison with results from more complete comprehensive models.
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