Inverse Modeling of Urban-Scale Emissions
Urban air pollution continues to be a problem worldwide, and there is a critical need to develop cost-effective control strategies. Current strategies are designed using air quality models that describe the formation and transport of photochemical pollutants. Unfortunately, the emissions inventories that are used in airshed modeling and control strategy design have been widely underestimated. New methods are needed to improve the quality of emissions inputs. One approach is to solve the inverse problem using existing ambient data and a photochemical urban airshed model to determine the emission field. However, the high dimensionality of spatially and temporally resolved emissions fields proves to be the primary obstacle in solving this problem.
KeywordsProper Orthogonal Decomposition Inverse Modeling Emission Inventory Negative Emission Precursor Emission
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