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J Environ Sci (China)

Title:		"Relationships of ozone formation sensitivity with precursors emissions, meteorology and land use types, in Guangdong-Hong Kong-Macao Greater Bay Area, China"
Author(s):		Chen Y; Yan H; Yao Y; Zeng C; Gao P; Zhuang L; Fan L; Ye D;
Address:		"School of Environment and Energy, South China University of Technology (SCUT), Guangzhou 510006, China; Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, SCUT, Guangzhou 510006, China; National Engineering Laboratory for Volatile Organic Compounds Pollution Control Technology and Equipment, SCUT, Guangzhou 510006, China. Electronic address: yping14@qq.com. School of Environment and Energy, South China University of Technology (SCUT), Guangzhou 510006, China; Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, SCUT, Guangzhou 510006, China; National Engineering Laboratory for Volatile Organic Compounds Pollution Control Technology and Equipment, SCUT, Guangzhou 510006, China. School of Environment and Energy, South China University of Technology (SCUT), Guangzhou 510006, China; Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, SCUT, Guangzhou 510006, China; National Engineering Laboratory for Volatile Organic Compounds Pollution Control Technology and Equipment, SCUT, Guangzhou 510006, China. Electronic address: fanly@scut.edu.cn"
Journal Title:		J Environ Sci (China)
Year:		2020
Volume:		20200421
Issue:
Page Number:		1 - 13
DOI:		10.1016/j.jes.2020.04.005
ISSN/ISBN:		1001-0742 (Print) 1001-0742 (Linking)
Abstract:		"Due to the influences of precursors emissions, meteorology, geography and other factors, ozone formation sensitivity (OFS) is generally spatially and temporally heterogeneous. This study characterized detailed spatial and temporal variations of OFS in Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 2012 to 2016 based on OMI satellite data, and analyzed the relationships of OFS with precursors emissions, meteorology and land use types (LUTs). From 2012 to 2016, the OFS tended to be NO(x)-limited in GBA, with the value of FNR (HCHO/NO(2)) increasing from 2.04 to 2.22. According to the total annual emission statistics of precursors, NO(x) emissions decreased by 33.1% and VOCs emissions increased by 35.2% from 2012 to 2016, directly resulting in OFS tending to be NO(x)-limited. The Grey Relation Analysis results show that total column water (TCW), surface net solar radiation (SSR), air temperature at 2 m (T2) and surface pressure (SP) are the top four meteorological factors with the greatest influences on OFS. There are significant positive correlations between FNR and T2, SSR, TCW, and significant negative correlations between FNR and SP. In GBA, the OFS tends to be NO(x)-limited regime in wet season (higher T2, SSR, TCW and lower SP) and VOCs-limited regime in dry season (lower T2, SSR, TCW and higher SP). The FNR displays obvious gradient variations on different LUTs, with the highest in 'Rural areas', second in 'Suburban areas' and lowest in 'Urban areas'"
Keywords:		Air Pollutants/*analysis China Environmental Monitoring Hong Kong Macau *Meteorology Ozone/*analysis Fnr Grey Relation Analysis Land use type Meteorology Omi Precursors emission;
Notes:		"MedlineChen, Yuping Yan, Hui Yao, Yijuan Zeng, Chunling Gao, Ping Zhuang, Liyue Fan, Liya Ye, Daiqi eng Netherlands 2020/06/22 J Environ Sci (China). 2020 Aug; 94:1-13. doi: 10.1016/j.jes.2020.04.005. Epub 2020 Apr 21"