Abstract

A set of BFM (Brute Force Method) simulations with the CMAQ (Community Multiscale Air Quality) model were conducted in order to estimate self-contributions and conversion rates of PPM (Primary PM2.5), NOx, SO₂, NH₃, and VOC emissions to PM2.5 concentrations over the SMA (Seoul Metropolitan Area). CAPSS (Clean Air Policy Support System) 2013 EI (emissions inventory) from the NIER (National Institute of Environmental Research) was used for the base and sensitivity simulations. SCCs (Source Classification Codes) in the EI were utilized to group the emissions into area, mobile, and point source categories. PPM and PM2.5 precursor emissions from each source category were reduced by 50%. In turn, air quality was simulated with CMAQ during January, April, July, and October in 2014 for the BFM runs. In this study, seasonal variations of SMA PM2.5 self-sensitivities to PPM, SO₂, and NH3 emissions can be observed even when the seasonal emission rates are almost identical. For example, when the mobile PPM emissions from the SMA were 634 TPM (Tons Per Month) and 603 TPM in January and July, self-contributions of the emissions to monthly mean PM2.5 were 2.7 ㎍/㎥ and 1.3 ㎍/㎥ for the months, respectively. Similarly, while NH₃ emissions from area sources were 4,169 TPM and 3,951 TPM in January and July, the self-contributions to monthly mean PM2.5 for the months were 2.0 ㎍/㎥ and 4.4 ㎍/㎥, respectively. Meanwhile, emission-to-PM2.5 conversion rates of precursors vary among source categories. For instance, the annual mean conversion rates of the SMA mobile, area, and point sources were 19.3, 10.8, and 6.6 ㎍/㎥/10⁶TPY for SO₂ emissions while those rates for PPM emissions were 268.6, 207.7, and 181.5 (㎍/㎥/10⁶TPY), respectively, over the region. The results demonstrate that SMA PM2.5 responses to the same amount of reduction in precursor emissions differ for source categories and in time (e.g. seasons), which is important when the cost-benefit analysis is conducted during air quality improvement planning. On the other hand, annual mean PM2.5 sensitivities to the SMA NOx emissions remains still negative even after a 50% reduction in emission category which implies that more aggressive NOx reductions are required for the SMA to overcome ‘NOx disbenefit’ under the base condition.

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