| Title: | Top-Down Emissions Inventory: Inverse Modeling |
| Project Period: | 11/01/2002 - 01/30/2004 |
| Total Budget: | $118,299 |
| Sub-Contractors: | University of Alabama at Huntsville - Greg Yarwood ($118,299)
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This project makes use of inverse modeling to reconcile the modeling emission inventories with ambient data to improve the reliability of control strategies. The project is based on a combination of data analysis and CAMx modeling that complement each other. The data analysis will be done first to obtain sensitivity coefficients and to reconcile the VOC inventory to ambient data for ozone precursors, indicator species (formaldehyde and Noz) and ozone. Next, using the resulting sensitivity coefficients, CAMx will be used to develop model-based sensitivities and then to develop a new "base case simulation". The observations and model results will be combined in a reconciliation assessment to give spatially dependent estimates of VOC under-representation in the current emission inventory. The study will be of direct use in preparing the HG SIP, especially because they relate the control strategy development system to ambient data.
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