5.9
Bridging mesoscale transport and building scale dispersion models with high resolution urban morphological datasets
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We conduct a study in which the external transport fields that drive building-scale dispersion models and the building scale dispersion models both utilize a common set of building data. This setup attempts to bridge the scale gap that currently exists between these type models. For this study, we utilize outputs of simulations from an urbanized version of the Mesoscale Model (Version 5) (MM5) to drive the Hazardous Prediction Assessment Capability (HPAC) model. Building data have been derived from airborne lidar mappings providing resolution at 1 to 5 m resolution. HPAC incorporates such data as shape files while MM5 utilize these data in aggregated form as urban canopy parameters (UCPs) gridded at 1 km resolution. The study venue is Houston Texas. The investigation includes a sensitivity study providing a comparison of the HPAC driven by the UCP and the standard versions of MM5.
