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Chemical Condition and Surface Ozone in Urban Cities of Texas During the Last Decade: Observational Evidence from OMI, CAMS, and Model Analysis Yunsoo.

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Presentation on theme: "Chemical Condition and Surface Ozone in Urban Cities of Texas During the Last Decade: Observational Evidence from OMI, CAMS, and Model Analysis Yunsoo."— Presentation transcript:

1 Chemical Condition and Surface Ozone in Urban Cities of Texas During the Last Decade: Observational Evidence from OMI, CAMS, and Model Analysis Yunsoo Choi & Amir Souri University of Houston

2 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Ozone and its precursors Ozone production Nitrogen oxides (NO x =NO+NO 2 ) and Volatile Organic Compounds (VOCs) Complex non-linear photochemistry HCHO/NO 2 ratio – NO x -saturated, -mixed or –sensitive regimes Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

3 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Ozone monitoring The anthropogenic emissions of NO x declined by 48% between 1990 and 2013 (EPA, 2013) VOC emissions from anthropogenic sources declined by 38% between 1990 and 2013 EPA (2010) has lowered the ozone standard from its 8-hour average (i.e. 75ppbv to 60-70 ppbv) Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

4 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Ozone monitoring Lefohn et al. (2010) using a period data of 1980-2008 and 1994- 2008 found that most metropolitan and rural regions in the United States exhibited either a negative or zero trend. The low ozone concentrations have likely increased as NO x has decreased, resulting from a decline in the amount of ozone quenched through NO x titration. Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

5 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Research Objectives Trend of NO 2 (2005-2013) Trend of HCHO Seasonal pattern of ozone and its relationship to air masses Trend of ozone (maximum, annual, minimum) The relationship between the trends Model analysis (different emission inventories) Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

6 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri OMI NO 2 OMI NO 2 daily observations (0.25 o ×0.25 o, level 2) from NASA (noisy observations have been filtered out) Left: OMI, Right (MACCity) NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

7 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri OMI NO 2 OMI: Austin (-6%), Dallas (-21%), Fort Worth (-16%), Houston (-11%) and San Antonio (-7%) CAMS: Dallas (-40.1%), Fort Worth (-43.9%) and Houston (- 34.6%) Except for San Antonio, our results showed was 10% lower, which may be the result of different spatial resolutions and subsets Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

8 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri OMI HCHO SAO OMI HCHO (0.25 o ×0.25 o ) (filtering+ normalizing using remote location in Pacific Ocean) Left: OMI HCHO, Right:MACCity NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

9 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri OMI HCHO Austin (+9%), Dallas (-1%), Fort Worth (-4%), Houston (-5%) and San Antonio (+1%) Possible reasons for trends: La Niña (warmer summers) periods of 2006, 2008-2009, and 2011 years Austin typically gets warmer than other cities. Differences in anthrpogenic emissions Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

10 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri OMI HCHO/NO 2 From HCHO/NO 2, the most NO x -saturated (Dallas) and NO x - sensitive cities (Austin) were shown. The 2%, 7%, 6%, 5%, 3% of the selected days were NO x - saturated (i.e., the NO x -saturated regime to be the ratio <1) for Austin, Dallas, Fort Worth, Houston, and San Antonio The cities have gradually become more NO x -sensitive because of higher downward trend of NO 2 than HCHO. The slope of this change was for Austin (0.10±0.04 yr -1 ), Dallas (0.08±0.03 yr -1 ), Fort Worth (0.07±0.03 yr -1 ), Houston (0.06±0.03 yr -1 ), and San Antonio (0.08±0.03 yr -1 ) Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

11 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Surface Ozone Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

12 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Surface Ozone Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

13 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Surface Ozone If observations after 2011 were excluded, the cities show a reduction in ozone maxima resulting from a decline in NO x in an NO x -sensitive regime, suggesting how climatic variability and associated wildfires after the period were crucial. The cities showed an upward minimum trend Downward trends of 5%, 8%, 11%, 11%, and 1% were found with respect to the 2005 ozone. Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

14 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Model analysis (Sep. of 2013) EPA National Emission Inventory (NEI) 2005 and NEI2011 NO x emissions decreased by 19%, 20%, 16%, 50%, and 18% in Austin, Dallas, Fort Worth, Houston, and San Antonio. Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

15 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Model analysis (NO 2 column) OMI NO 2 versus WRF-Chem NEI2005 NEI2011 Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

16 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Model analysis (HCHO column) OMI HCHO versus WRF-Chem Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

17 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Model analysis (In-situ comparison) Model versus CAMS (NO 2 ) Model versus CAMS (O 3 ) Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion

18 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Model analysis (surface O 3 ) Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion Reduction 3% in Dallas and 0.5% in Fort Worth. Increase by 0.7% in Austin, 0.8% in San Antonio, and 7% in Houston. Overestimation of NO 2 and underestimation of HCHO might deplete available radicals in cities, leading to less production of ozone.

19 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Conclusion Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion Decreased anthropogenic sources led to a significant downward trend for NO 2. Austin showed a statistically significant increase (+9%) in annual trends of HCHO, resulting from climatic variability that cancelled out the decrease in anthropogenic HCHO emissions. The differences between both trends gradually changed the chemical conditions of the Texas cities from NO x - saturated/mixed to more NO x -sensitive chemical conditions.

20 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Conclusion Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion Climatic variability plays a major role in summertime surface ozone trends Decline in annual ozone was shown

21 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Conclusion Introduction Trend analysis NO 2 HCHO HCHO/NO 2 Ozone Model Analysis Conclusion MTSE air masses influenced ozone pattern in July in the lower latitudes, and ozone precursors from the eastern US resulted in high ozone in Fall. WRF-Chem in two different scenarios in September 2013: Decreases in ozone from the first to second case in Dallas (3%) and Forth Worth (0.5%), but increases in Austin (0.7%), San Antonio (0.8%), and Houston (7%) shown. Possibly resulting from underestimation of VOC contributions from petrochemical and biogenic and overestimation of NO x in NEI-2005 inventory that led to low HCHO/NO 2 ratios.

22 Seminar on 04/13/2015 PMTC Yunsoo Choi and Amir Hossein Souri Acknowledgements Air Quality Research Program – The University of Texas at Austin & Texas Commission on Environmental Quality (TCEQ) Texas Air Research Center – Lamar University TCEQ CAMS monitoring site team OMI NO 2 & HCHO column retrieval team Introduction Data Methodology Results Conclusion

23 Thank you for your attention

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