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Source estimation of SO4 2− and NO3 − based on monitoring-modeling approach during winter and summer seasons in Beijing and Tangshan, China
https://orcid.org/0000-0001-7691-2178
https://orcid.org/0000-0002-4779-1861
Abstract SO4 2−, NO3 − and NH4 + are the important components of PM2.5 in China. This study developed a modeling-monitoring coupled approach to determining the sources of SO4 2− and NO3 − as well as the secondary oxidation ratio of SO2 to SO4 2−, through a monitoring of PM2.5 in Beijing and Tangshan, and a WRF-CAMx simulation over North China. Measurement showed that the concentrations of NO3 −, SO4 2− and NH4 + in winter (summer) were 24.2 ± 25.2 μg/m3 (5.1 ± 2.9 μg/m3), 17.5 ± 18.5 μg/m3 (5.8 ± 3.7 μg/m3) and 14.5 ± 14.1 μg/m3 (4.7 ± 2.9 μg/m3) in Beijing, while 12.2 ± 11.0 μg/m3 (13.3 ± 4.5 μg/m3), 15.8 ± 11.9 μg/m3 (14.3 ± 4.9 μg/m3) and 14.6 ± 13.0 μg/m3 (9.6 ± 3.7 μg/m3) in Tangshan. CAMx-PSAT simulation showed that the concentrations of SO4 2− in Beijing was affected more by regional transport. In Tangshan, local SO2 was the main source of SO4 2−. As for NO3 −, both cities were affected more by regional transport in both winter and summer. Sulfate/nitrate aged ratio (SAR and NAR) and sulfate oxidation ratio (SOR) calculated by the coupling approach stated above could reflect the regional and local atmospheric oxidation capacity respectively. The NAR in Beijing were 0.13 ± 0.08 in winter and 0.09 ± 0.06 in summer, 0.08 ± 0.05 and 0.15 ± 0.05 in Tangshan. The SAR were 0.32 ± 0.17 and 0.51 ± 0.17 in Beijing, 0.13 ± 0.11 and 0.19 ± 0.11 in Tangshan. Then, we further designed several scenarios in CAMx to differentiated the SO4 2− converted from outside SO2 in the studied city from that in outside areas, and to further evaluated the SOR. It was 0.22 ± 0.15 and 0.23 ± 0.11 in winter and summer in Beijing, and 0.11 ± 0.10 and 0.14 ± 0.08 in Tangshan. It implies a stronger atmospheric oxidation ability in Beijing compared with Tangshan, and the impact of regional transport of sulfur pollutants on Beijing is much more obvious. Moreover, the correlation coefficient between RH and SOR was 0.94 and 0.93 in winter, 0.05 and 0.17 in summer in two cities. It indicates that SO4 2− is transformed mainly through liquid-phase and heterogeneous reaction in winter and gaseous reaction in summer.
Highlights Sources of SO4 2− and NO3 − during winter and summer of two cities were analyzed. SAR/NAR and SOR were discussed based on monitoring-modeling approach. Secondary conversion degree was enhanced during polluted days. SOR was lower than SAR in both cities due to regional transport effect on SO4 2−. RH played more important role in SO4 2− pollution in winter than summer.
Source estimation of SO4 2− and NO3 − based on monitoring-modeling approach during winter and summer seasons in Beijing and Tangshan, China
https://orcid.org/0000-0001-7691-2178
https://orcid.org/0000-0002-4779-1861
Abstract SO4 2−, NO3 − and NH4 + are the important components of PM2.5 in China. This study developed a modeling-monitoring coupled approach to determining the sources of SO4 2− and NO3 − as well as the secondary oxidation ratio of SO2 to SO4 2−, through a monitoring of PM2.5 in Beijing and Tangshan, and a WRF-CAMx simulation over North China. Measurement showed that the concentrations of NO3 −, SO4 2− and NH4 + in winter (summer) were 24.2 ± 25.2 μg/m3 (5.1 ± 2.9 μg/m3), 17.5 ± 18.5 μg/m3 (5.8 ± 3.7 μg/m3) and 14.5 ± 14.1 μg/m3 (4.7 ± 2.9 μg/m3) in Beijing, while 12.2 ± 11.0 μg/m3 (13.3 ± 4.5 μg/m3), 15.8 ± 11.9 μg/m3 (14.3 ± 4.9 μg/m3) and 14.6 ± 13.0 μg/m3 (9.6 ± 3.7 μg/m3) in Tangshan. CAMx-PSAT simulation showed that the concentrations of SO4 2− in Beijing was affected more by regional transport. In Tangshan, local SO2 was the main source of SO4 2−. As for NO3 −, both cities were affected more by regional transport in both winter and summer. Sulfate/nitrate aged ratio (SAR and NAR) and sulfate oxidation ratio (SOR) calculated by the coupling approach stated above could reflect the regional and local atmospheric oxidation capacity respectively. The NAR in Beijing were 0.13 ± 0.08 in winter and 0.09 ± 0.06 in summer, 0.08 ± 0.05 and 0.15 ± 0.05 in Tangshan. The SAR were 0.32 ± 0.17 and 0.51 ± 0.17 in Beijing, 0.13 ± 0.11 and 0.19 ± 0.11 in Tangshan. Then, we further designed several scenarios in CAMx to differentiated the SO4 2− converted from outside SO2 in the studied city from that in outside areas, and to further evaluated the SOR. It was 0.22 ± 0.15 and 0.23 ± 0.11 in winter and summer in Beijing, and 0.11 ± 0.10 and 0.14 ± 0.08 in Tangshan. It implies a stronger atmospheric oxidation ability in Beijing compared with Tangshan, and the impact of regional transport of sulfur pollutants on Beijing is much more obvious. Moreover, the correlation coefficient between RH and SOR was 0.94 and 0.93 in winter, 0.05 and 0.17 in summer in two cities. It indicates that SO4 2− is transformed mainly through liquid-phase and heterogeneous reaction in winter and gaseous reaction in summer.
Highlights Sources of SO4 2− and NO3 − during winter and summer of two cities were analyzed. SAR/NAR and SOR were discussed based on monitoring-modeling approach. Secondary conversion degree was enhanced during polluted days. SOR was lower than SAR in both cities due to regional transport effect on SO4 2−. RH played more important role in SO4 2− pollution in winter than summer.
Source estimation of SO4 2− and NO3 − based on monitoring-modeling approach during winter and summer seasons in Beijing and Tangshan, China
https://orcid.org/0000-0001-7691-2178
https://orcid.org/0000-0002-4779-1861
Abstract SO4 2−, NO3 − and NH4 + are the important components of PM2.5 in China. This study developed a modeling-monitoring coupled approach to determining the sources of SO4 2− and NO3 − as well as the secondary oxidation ratio of SO2 to SO4 2−, through a monitoring of PM2.5 in Beijing and Tangshan, and a WRF-CAMx simulation over North China. Measurement showed that the concentrations of NO3 −, SO4 2− and NH4 + in winter (summer) were 24.2 ± 25.2 μg/m3 (5.1 ± 2.9 μg/m3), 17.5 ± 18.5 μg/m3 (5.8 ± 3.7 μg/m3) and 14.5 ± 14.1 μg/m3 (4.7 ± 2.9 μg/m3) in Beijing, while 12.2 ± 11.0 μg/m3 (13.3 ± 4.5 μg/m3), 15.8 ± 11.9 μg/m3 (14.3 ± 4.9 μg/m3) and 14.6 ± 13.0 μg/m3 (9.6 ± 3.7 μg/m3) in Tangshan. CAMx-PSAT simulation showed that the concentrations of SO4 2− in Beijing was affected more by regional transport. In Tangshan, local SO2 was the main source of SO4 2−. As for NO3 −, both cities were affected more by regional transport in both winter and summer. Sulfate/nitrate aged ratio (SAR and NAR) and sulfate oxidation ratio (SOR) calculated by the coupling approach stated above could reflect the regional and local atmospheric oxidation capacity respectively. The NAR in Beijing were 0.13 ± 0.08 in winter and 0.09 ± 0.06 in summer, 0.08 ± 0.05 and 0.15 ± 0.05 in Tangshan. The SAR were 0.32 ± 0.17 and 0.51 ± 0.17 in Beijing, 0.13 ± 0.11 and 0.19 ± 0.11 in Tangshan. Then, we further designed several scenarios in CAMx to differentiated the SO4 2− converted from outside SO2 in the studied city from that in outside areas, and to further evaluated the SOR. It was 0.22 ± 0.15 and 0.23 ± 0.11 in winter and summer in Beijing, and 0.11 ± 0.10 and 0.14 ± 0.08 in Tangshan. It implies a stronger atmospheric oxidation ability in Beijing compared with Tangshan, and the impact of regional transport of sulfur pollutants on Beijing is much more obvious. Moreover, the correlation coefficient between RH and SOR was 0.94 and 0.93 in winter, 0.05 and 0.17 in summer in two cities. It indicates that SO4 2− is transformed mainly through liquid-phase and heterogeneous reaction in winter and gaseous reaction in summer.
Highlights Sources of SO4 2− and NO3 − during winter and summer of two cities were analyzed. SAR/NAR and SOR were discussed based on monitoring-modeling approach. Secondary conversion degree was enhanced during polluted days. SOR was lower than SAR in both cities due to regional transport effect on SO4 2−. RH played more important role in SO4 2− pollution in winter than summer.
Source estimation of SO4 2− and NO3 − based on monitoring-modeling approach during winter and summer seasons in Beijing and Tangshan, China
Wang, Xiaoqi (author) / Wei, Wei (author) / Cheng, Shuiyuan (author) / Zhang, Hanyu (author) / Yao, Sen (author)
Atmospheric Environment ; 214
2019-07-18
Article (Journal)
Electronic Resource
English
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