Effectiveness of SOx, NOx, and Primary Particulate Matter Control Strategies in the Improvement of Ambient PM Concentration in Taiwan

• Published in: Atmosphere 2021-04, Vol.12 (4), p.460
• Main Authors: Tsai, Jiun-Horng, Lee, Ming-Ye, Chiang, Hung-Lung
• Format: Article
• Language: English
• Subjects: Air; Air monitoring; Air pollution; Air quality; Air quality measurements; Air quality standards; Airborne particulates; Atmospheric aerosols; Bias; Boundary conditions; Carbon; Chemistry; Clean Air Act-US; Climate change; Community Multiscale Air Quality (CMAQ); Emissions; Emissions control; Environmental law; Environmental monitoring; Environmental protection; GDP; Gross Domestic Product; Industrial plant emissions; Monitoring systems; Mortality; nitrate; Nitrogen compounds; Nitrogen oxides; Nitrogen oxides emissions; NOx; Outdoor air quality; Particulate emissions; Particulate matter; Particulate matter emissions; Pollutants; primary particulate matter; Quality management; Simulation; SOx; sulfate; Suspended particulate matter
• ISSN: 2073-4433; 2073-4433
• DOI: 10.3390/atmos12040460

The Community Multiscale Air Quality (CMAQ) measurement was employed for evaluating the effectiveness of fine particulate matter control strategies in Taiwan. There are three scenarios as follows: (I) the 2014 baseline year emission, (II) 2020 emissions reduced via the Clean Air Act (CAA), and (III) other emissions reduced stringently via the Clean Air Act. Based on the Taiwan Emission Data System (TEDs) 8.1, established in 2014, the emission of particulate matter 2.5 (PM2.5) was 73.5 thousand tons y−1, that of SOx was 121.3 thousand tons y−1, and that of NOx was 404.4 thousand tons y−1 in Taiwan. The CMAQ model simulation indicated that the PM2.5 concentration was 21.9 μg m−3. This could be underestimated by 24% in comparison with data from the ambient air quality monitoring stations of the Taiwan Environmental Protection Administration (TEPA). The results of the simulation of the PM2.5 concentration showed high PM2.5 concentrations in central and southwestern Taiwan, especially in Taichung and Kaohsiung. Compared to scenario I, the average annual concentrations of PM2.5 for scenario II and scenario III showed reductions of 20.1% and 28.8%, respectively. From the results derived from the simulation, it can be seen that control of NOx emissions may improve daily airborne PM2.5 concentrations in Taiwan significantly and control of directly emitted PM2.5 emissions may improve airborne PM2.5 concentrations each month. Nevertheless, the results reveal that the preliminary control plan could not achievethe air quality standard. Therefore, the efficacy and effectiveness of the control measures must be considered to better reduce emissions in the future.