Benefit analysis of air quality control stradigies in Taiwan
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Air pollutants such as PM2.5 and ozone have become a global issue and are getting more public concern. In Taiwan, with the rapid development of industry and the increased density of vehicles in the urban areas, air quality has significantly deteriorated and been paid attention to. Previous studies showed the increase in the deaths and morbidity of cardiovascular diseases and respiratory diseases could be attributable to increased exposure to PM2.5. Therefore, the strategies for decreasing air pollution concentration is an important issue for the Environmental Protection Agency (EPA) and Environmental Protection Bureaus (EPBs) in Taiwan.
This project has assessed the impact of PM2.5 and ozone between counties by applying Response Surface Model (RSM) system and evaluated the effectiveness of National Implementation Plan (NIP) of EPA and State Implementation Plan (SIP) of EPBs applied in recent years. The observed PM2.5 in the base year, 2016, was 19.2 μg/m3, and the modeling results showed the PM2.5 can be reduced to 17.5 μg/m3 (-9% compared with 19.2 μg/m3) if NIP and SIP (2019-2020) were implemented. The observed PM2.5 in 2019 was 14.1 μg/m3 (-27% compared with 19.2 μg/m3), which revealed that the impact of meteorology and other emissions (e.g. transboundary anthropogenic emissions and biogenic emissions) can contribute 18% to the difference. In addition, if PM2.5 standard (15 μg/m3) is needed to be met, an extra 20% of emission should be controlled except for existing NIP and SIP. Based on the assessment results, we suggested that future NIP and SIP need to consider the impact of meteorology and other emissions and achieve the goal by considering more flexible and multifaceted policies. Besides, we hosted 2 training workshops in Taipei and Tainan and invited the consultant companies and officers from EPA and EPBs to operate the RSM system, and the training can provide practical support for EPA and EPBs.
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Keyword |
Air benefit and cost and attainment assessment system, Air quality policies, Air quality modeling
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