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Evidence of impact of aerosols on surface ozone concentration in Tianjin,China
Affiliation:1. Tianjin Meteorological Bureau, Tianjin, China;2. National Center for Atmospheric Research (NCAR), Boulder, CO 80303, USA;3. Nankai University, Tianjin, China;1. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China;2. College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China;3. Chengdu Academy of Environmental Sciences, Chengdu, 610072, China;4. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China;1. State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China;2. State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810003, China;3. Department of Earth System Science, Tsinghua University, Beijing 100084, China;4. Rensselaer Polytechnic Institute, Department of Civil and Environmental Engineering, Troy, NY 12180, USA;1. Department of Physical and Chemical Sciences, Center of Excellence for the Forecast of Severe Weather (CETEMPS), University of L''Aquila, L''Aquila, Italy;2. Atmospheric Modelling and Analysis Division, Environmental Protection Agency, Research Triangle Park, USA;3. Enviroware srl, Concorezzo, MB, Italy;4. Institute for Environment and Sustainability, Joint Research Centre, European Commission, Ispra, Italy;5. Ricerca sul Sistema Energetico (RSE) SpA, Milan, Italy;6. University of Murcia, Department of Physics, Physics of the Earth. Campus de Espinardo, Ed. CIOyN, 30100 Murcia, Spain;7. Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland;8. Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung, Atmosphärische Umweltforschung (IMK-IFU), Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany;9. Zentralanstalt für Meteorologie und Geodynamik, ZAMG, Hohe Warte 38, 1190 Vienna, Austria;10. Center of Excellence SPACE-SI, Ljubljana, Slovenia;11. Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, CO, USA;12. Air-Quality Research Division, Environment Canada, Toronto, Canada;13. Environmental Software and Modelling Group, Computer Science School - Technical University of Madrid, Campus de Montegancedo - Boadilla del Monte 28660, Madrid, Spain;14. National Institute of Meteorology and Hydrology, Bulgarian Academy of Sciences, 66 Tzarigradsko shaussee Blvd., Sofia 1784, Bulgaria;15. Leibniz Institute for Tropospheric Research, Permoserstr. 15, D-04318 Leipzig, Germany;p. University of Ljubljana, Faculty of Mathematics and Physics, Ljubljana, Slovenia;1. State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Water Sciences, Beijing Normal University, Beijing, 100875, China;2. Chinese Research Academy of Environmental Sciences, Beijing, 100012, China;3. State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Sciences, Beijing Normal University, Beijing, 100875, China;4. College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Oregon, USA;5. Institute of Urban Meteorology, China Meteorological Administration, Beijing, China;6. National Engineering Research Center for Information Technology in Agriculture, 11 Shuguang Huayuan Middle Road, Beijing, 100097, China
Abstract:In this study, we will present evidence that aerosol particles have strong effects on the surface ozone concentration in a highly polluted city in China. The measured aerosol (PM10), UV flux, and O3 concentrations were analyzed from 1 November (1 Nov) to 7 November (7 Nov) 2005 in Tianjin, China. During this period, the aerosol concentration had a strong day-by-day variation, ranging from 0.2 to 0.6 mg m−3. The ozone concentration also shows a strong variability in correlation with the aerosol concentration. During 1 Nov, 2 Nov, 6 Nov, and 7 Nov, the ozone concentration was relatively high (about 30–35 ppbv; defined as a high-ozone period), and during 3 Nov to 5 Nov, the ozone concentration was relatively low (about 5–20 ppbv; defined as a low-ozone period). The analysis of the measurement shows that the ozone concentration is strongly correlated to the measured UV flux. Because there were near cloud-free conditions between 1 Nov and 7 Nov, the variation of the UV flux mainly resulted from the variation of aerosol concentration. The result shows that higher aerosol concentrations produce a lower UV flux and lower ozone concentrations. By contrast, the lower aerosol concentration leads to a higher UV flux and higher ozone concentrations. A chemical mechanism model (NCAR MM) is applied to interpret the measurement. The model result shows that the extremely high aerosol concentration in this polluted city has a very strong impact on photochemical activities and ozone formation. The correlation between aerosol and ozone concentrations appears in a non-linear feature. The O3 concentration is very sensitive to aerosol loading when aerosol loading is high, and this sensitivity is reduced when aerosol loading is low. For example, the ratio of Δ[O3]/Δ[AOD] is about −16 ppbv AOD−1 when AOD is less than 2, and is only −4 ppbv AOD−1 when AOD is between 2 and 5. This result implies that a future decrease in aerosol loading could lead to a rapid increase in the O3 concentration in this region.
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