Papers:Wang et al 2021 - Revision history

Atomoschem at 07:01, 8 October 2023

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Atmoschem at 06:48, 17 June 2022

2022-06-17T06:48:29Z

Atmoschem at 06:47, 17 June 2022

2022-06-17T06:47:00Z

Atmoschem: Created page with "'''Abstract |''' Effective mitigation of surface ozone pollution entails detailed knowledge of the contributing precursors’ sources. We use the GEOS-Chem adjoint model to an..."

2022-06-08T01:37:32Z

Created page with "'''Abstract |''' Effective mitigation of surface ozone pollution entails detailed knowledge of the contributing precursors’ sources. We use the GEOS-Chem adjoint model to an..."

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'''Abstract |''' Effective mitigation of surface ozone pollution entails detailed knowledge of the contributing precursors’ sources. We use the GEOS-Chem adjoint model to analyze the precursors contributing to surface ozone in the Beijing–Tianjin–Hebei area (BTH) of China on days of different ozone pollution severities in June 2019. We find that BTH ozone on heavily polluted days is sensitive to local emissions, as well as to precursors emitted from the provinces south of BTH (Shandong, Henan, and Jiangsu, collectively the SHJ area). Heavy ozone pollution in BTH can be mitigated effectively by reducing NOx (from industrial processes and transportation), ≥C3 alkenes (from on-road gasoline vehicles and industrial processes), and xylenes (from paint use) emitted from both BTH and SHJ, as well as by reducing CO (from industrial processes, transportation, and power generation) and ≥C4 alkanes (from industrial processes, paint and solvent use, and on-road gasoline vehicles) emissions from SHJ. In addition, reduction of NOx, xylene, and ≥C3 alkene emissions within BTH would effectively decrease the number of BTH ozone-exceedance days. Our analysis pinpoint the key areas and activities for locally and regionally coordinated emission control efforts to improve surface ozone air quality in BTH.

'''Publication |''' '''Wang, X.''', '''Fu, T.-M.*''', Zhang, L.*, '''Cao, H.''', Zhang, Q. Ma, Hanchen, Shen, L., Evans, M., Ivatt, P., Lu., X., Chen, Y., '''Zhang, L.''', '''Feng, X.''', Yang, X., Zhu, L., Henze, D. (2021), Sensitivities of ozone air pollution in the Beijing-Tianjin-Hebei area to local and upwind precursor emissions using adjoint modelling, ''Environmental Science & Technology'', 55(9),5752-5762, doi:10.1021/acs.est.1c00131.

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−	'''Publication \|''' '''Wang, X.''', '''Fu, T.-M.''', Zhang, L., '''Cao, H.''', Zhang, Q. Ma, Hanchen, Shen, L., Evans, M., Ivatt, P., Lu., X., Chen, Y., '''Zhang, L.''', '''Feng, X.''', Yang, X., Zhu, L., Henze, D. (2021), Sensitivities of ozone air pollution in the Beijing-Tianjin-Hebei area to local and upwind precursor emissions using adjoint modelling, ''Environmental Science & Technology'', 55(9),5752-5762, doi:10.1021/acs.est.1c00131. [https://~~fugroup~~.org/papers/Wang_et_al_2021_Environmental_Science_and_Technology.pdf PDF ][https://doi.org/10.1021/acs.est.1c00131 Full text].	+	'''Publication \|''' '''Wang, X.''', '''Fu, T.-M.''', Zhang, L., '''Cao, H.''', Zhang, Q. Ma, Hanchen, Shen, L., Evans, M., Ivatt, P., Lu., X., Chen, Y., '''Zhang, L.''', '''Feng, X.''', Yang, X., Zhu, L., Henze, D. (2021), Sensitivities of ozone air pollution in the Beijing-Tianjin-Hebei area to local and upwind precursor emissions using adjoint modelling, ''Environmental Science & Technology'', 55(9),5752-5762, doi:10.1021/acs.est.1c00131. [https://atmoschem.org.cn/papers/Wang_et_al_2021_Environmental_Science_and_Technology.pdf PDF ][https://doi.org/10.1021/acs.est.1c00131 Full text].

← Older revision		Revision as of 06:48, 17 June 2022
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−	'''Publication \|''' '''Wang, X.''', '''Fu, T.-M.''', Zhang, L., '''Cao, H.''', Zhang, Q. Ma, Hanchen, Shen, L., Evans, M., Ivatt, P., Lu., X., Chen, Y., '''Zhang, L.''', '''Feng, X.''', Yang, X., Zhu, L., Henze, D. (2021), Sensitivities of ozone air pollution in the Beijing-Tianjin-Hebei area to local and upwind precursor emissions using adjoint modelling, ''Environmental Science & Technology'', 55(9),5752-5762, doi:10.1021/acs.est.1c00131.	+	'''Publication \|''' '''Wang, X.''', '''Fu, T.-M.''', Zhang, L., '''Cao, H.''', Zhang, Q. Ma, Hanchen, Shen, L., Evans, M., Ivatt, P., Lu., X., Chen, Y., '''Zhang, L.''', '''Feng, X.''', Yang, X., Zhu, L., Henze, D. (2021), Sensitivities of ozone air pollution in the Beijing-Tianjin-Hebei area to local and upwind precursor emissions using adjoint modelling, ''Environmental Science & Technology'', 55(9),5752-5762, doi:10.1021/acs.est.1c00131. [https://fugroup.org/papers/Wang_et_al_2021_Environmental_Science_and_Technology.pdf PDF ][https://doi.org/10.1021/acs.est.1c00131 Full text].

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		+	[[Image:bth ozone adjoint.jpeg\|center\|500px\|Quantifying the sensitivity of Beijing-Tianjin-Hebei surface ozone to precursor emissions using GEOS-Chem adjoint.]]
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	'''Abstract \|''' Effective mitigation of surface ozone pollution entails detailed knowledge of the contributing precursors’ sources. We use the GEOS-Chem adjoint model to analyze the precursors contributing to surface ozone in the Beijing–Tianjin–Hebei area (BTH) of China on days of different ozone pollution severities in June 2019. We find that BTH ozone on heavily polluted days is sensitive to local emissions, as well as to precursors emitted from the provinces south of BTH (Shandong, Henan, and Jiangsu, collectively the SHJ area). Heavy ozone pollution in BTH can be mitigated effectively by reducing NOx (from industrial processes and transportation), ≥C3 alkenes (from on-road gasoline vehicles and industrial processes), and xylenes (from paint use) emitted from both BTH and SHJ, as well as by reducing CO (from industrial processes, transportation, and power generation) and ≥C4 alkanes (from industrial processes, paint and solvent use, and on-road gasoline vehicles) emissions from SHJ. In addition, reduction of NOx, xylene, and ≥C3 alkene emissions within BTH would effectively decrease the number of BTH ozone-exceedance days. Our analysis pinpoint the key areas and activities for locally and regionally coordinated emission control efforts to improve surface ozone air quality in BTH.		'''Abstract \|''' Effective mitigation of surface ozone pollution entails detailed knowledge of the contributing precursors’ sources. We use the GEOS-Chem adjoint model to analyze the precursors contributing to surface ozone in the Beijing–Tianjin–Hebei area (BTH) of China on days of different ozone pollution severities in June 2019. We find that BTH ozone on heavily polluted days is sensitive to local emissions, as well as to precursors emitted from the provinces south of BTH (Shandong, Henan, and Jiangsu, collectively the SHJ area). Heavy ozone pollution in BTH can be mitigated effectively by reducing NOx (from industrial processes and transportation), ≥C3 alkenes (from on-road gasoline vehicles and industrial processes), and xylenes (from paint use) emitted from both BTH and SHJ, as well as by reducing CO (from industrial processes, transportation, and power generation) and ≥C4 alkanes (from industrial processes, paint and solvent use, and on-road gasoline vehicles) emissions from SHJ. In addition, reduction of NOx, xylene, and ≥C3 alkene emissions within BTH would effectively decrease the number of BTH ozone-exceedance days. Our analysis pinpoint the key areas and activities for locally and regionally coordinated emission control efforts to improve surface ozone air quality in BTH.


	'''Publication \|''' '''Wang, X.''', '''Fu, T.-M.''', Zhang, L., '''Cao, H.''', Zhang, Q. Ma, Hanchen, Shen, L., Evans, M., Ivatt, P., Lu., X., Chen, Y., '''Zhang, L.''', '''Feng, X.''', Yang, X., Zhu, L., Henze, D. (2021), Sensitivities of ozone air pollution in the Beijing-Tianjin-Hebei area to local and upwind precursor emissions using adjoint modelling, ''Environmental Science & Technology'', 55(9),5752-5762, doi:10.1021/acs.est.1c00131.		'''Publication \|''' '''Wang, X.''', '''Fu, T.-M.''', Zhang, L., '''Cao, H.''', Zhang, Q. Ma, Hanchen, Shen, L., Evans, M., Ivatt, P., Lu., X., Chen, Y., '''Zhang, L.''', '''Feng, X.''', Yang, X., Zhu, L., Henze, D. (2021), Sensitivities of ozone air pollution in the Beijing-Tianjin-Hebei area to local and upwind precursor emissions using adjoint modelling, ''Environmental Science & Technology'', 55(9),5752-5762, doi:10.1021/acs.est.1c00131.