Effects of Air Pollution Control Measures on Air Quality Improvement in Guangzhou, China
| Autor: | Shuxiao Wang, Jinying Huang, Jia Xing, Meifang Yu, Jizhang Huang, Che-Jen Lin, Carey Jang, Jiangbo Jin, Yun Zhu, Lian Yu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
China
Environmental Engineering 0208 environmental biotechnology Air pollution 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law Power sector medicine.disease_cause 01 natural sciences Article Air Pollution medicine Cities Observation data Waste Management and Disposal Air quality index 0105 earth and related environmental sciences Air Pollutants Environmental engineering General Medicine Quality Improvement 020801 environmental engineering Ambient air Environmental science Environmental Monitoring |
| Zdroj: | J Environ Manage |
| Popis: | The ambient air quality of Guangzhou in 2016 has significantly improved since Guangzhou and its surrounding cities implemented a series of air pollution control measures from 2014 to 2016. This study not only estimated the effects of meteorology and emission control measures on air quality improvement in Guangzhou but also assessed the contributions of emissions reduction from various sources through the combination of observation data and simulation results from Weather Research and Forecasting - Community Multiscale Air Quality (WRF-CMAQ) modeling system. Results showed that the favorable meteorological conditions in 2016 alleviated the air pollution. Compared to change in meteorology, implementing emission control measures in Guangzhou and surrounding cities was more beneficial for air quality improvement, and it could reduce the concentrations of SO(2), NO(2), PM(2.5), PM(10), and O(3) by 9.7 μg m(−3) (48.4%), 9.2 μg m(−3) (17.7%), 7.7 μg m(−3) (14.6%), 9.7 μg m(−3) (13.4%), and 12.0 μg m(−3) (7.7%), respectively. Furthermore, emission control measures that implemented in Guangzhou contributed most to the concentration reduction of SO(2), NO(2), PM(2.5), and PM(10) (46.0% for SO(2), 15.2% for NO(2), 9.4% for PM(2.5), and 9.1% for PM(10)), and it increased O(3) concentration by 2.4%. With respect to the individual contributions of source emissions reduction, power sector emissions reduction showed the greatest contribution in reducing the concentrations of SO(2), NO(2), PM(2.5), and PM(10) due to the implementation of Ultra-Clean control technology. As for O(3) mitigation, VOCs product-related source emissions reduction was most effective, and followed by transportation source emissions reduction, while the reductions of power sector, industrial boiler, and industrial process source might not be as effective. Our findings provide scientific advice for the Guangzhou government to formulate air pollution prevention and control policies in the future. |
| Databáze: | OpenAIRE |
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