Driving factors of the significant increase in surface ozone in the Yangtze River Delta, China, during 2013–2017

Yu, Yang; Wang, Zhen; He, Tianfeng; Meng, Xiangwu; Xie, Shuyan; H, Yu

doi:10.1016/j.apr.2019.03.010

Cited by 63 publications

(33 citation statements)

References 35 publications

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“…Remote locations with background ozone levels have less ozone variability and are, thus, harder to fit. Similar MLR models have been extensively employed to quantify the effect of meteorological variability on air pollutants (e.g., Tai et al, 2010;Otero et al, 2018;Zhai et al, 2019;Han et al, 2020).…”

Section: Stepwise Multiple Linear Regression (Mlr) Modelmentioning

confidence: 99%

“…Finally, the trend in regressed ozone is taken to reflect the meteorological contribution, and the residual is then taken to reflect the presumed anthropogenic contribution, with the statistical significance of the anthropogenic trend determined by a Student's t test. We have followed this approach before to isolate the anthropogenic trends of ozone and PM 2.5 Zhai et al, 2019). A similar statistical decomposition of anthropogenic and meteorological contributions to air pollutant trends has been employed by previous studies (e.g., Chen et al 2019;Yu et al, 2019;.…”

Section: Stepwise Multiple Linear Regression (Mlr) Modelmentioning

confidence: 99%

“…We have followed this approach before to isolate the anthropogenic trends of ozone and PM 2.5 Zhai et al, 2019). A similar statistical decomposition of anthropogenic and meteorological contributions to air pollutant trends has been employed by previous studies (e.g., Chen et al 2019;Yu et al, 2019;. The effect of biogenic VOCs on ozone trends depends on meteorological and land cover drivers.…”

Section: Stepwise Multiple Linear Regression (Mlr) Modelmentioning

confidence: 99%

“…Measurements from the Chinese Ministry of Environment and Ecology (MEE) network of sites frequently exceed the national air quality standard of 160 µg m −3 , corresponding to 82 ppb at 298 K and 1013 hPa (Li et al, 2017;Shen et al, 2019a;Fan et al, 2020). The Clean Air Action Plan initiated in 2013 imposed rapid decreases in pollutant emissions (Chinese State Council, 2013) and resulted in large decreases in fine particulate matter (PM 2.5 ) concentrations (Zhai et al, 2019;. However, ozone increased by 1-3 ppb a −1 over the 2013-2017 period in the megacity clusters of eastern China (Lu et al, 2018(Lu et al, , 2020Li et al, 2019a), partly offsetting the health benefits gained from improved PM 2.5 (Dang and Liao, 2019;.…”

Section: Introductionmentioning

confidence: 99%

“…A number of studies have investigated the roles of anthropogenic and meteorological factors in driving the 2013-2017 ozone trend and have concluded that meteorological factors were not negligible but anthropogenic factors were dominant (Ding et al, 2019;Li et al, 2019a;Liu et al, 2019Liu et al, , 2020Yu et al, 2019). Our previous work (Li et al, 2019a, b) found that the decrease in PM 2.5 was a major factor driving the increase in ozone due to the role of PM 2.5 as scavenger of hydroperoxy (HO 2 ) radicals and NO x that would otherwise produce ozone.…”

Section: Introductionmentioning

confidence: 99%

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Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences

Li¹,

Jacob²,

Shen³

et al. 2020

Atmos. Chem. Phys.

386

159

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Abstract. Surface ozone data from the Chinese Ministry of Ecology and Environment (MEE) network show sustained increases across the country over the 2013–2019 period. Despite Phase 2 of the Clean Air Action Plan targeting ozone pollution, ozone was higher in 2018–2019 than in previous years. The mean summer 2013–2019 trend in maximum 8 h average (MDA8) ozone was 1.9 ppb a−1 (p<0.01) across China and 3.3 ppb a−1 (p<0.01) over the North China Plain (NCP). Fitting ozone to meteorological variables with a multiple linear regression model shows that meteorology played a significant but not dominant role in the 2013–2019 ozone trend, contributing 0.70 ppb a−1 (p<0.01) across China and 1.4 ppb a−1 (p=0.02) over the NCP. Rising June–July temperatures over the NCP were the main meteorological driver, particularly in recent years (2017–2019), and were associated with increased foehn winds. NCP data for 2017–2019 show a 15 % decrease in fine particulate matter (PM2.5) that may be driving the continued anthropogenic increase in ozone, as well as unmitigated emissions of volatile organic compounds (VOCs). VOC emission reductions, as targeted by Phase 2 of the Chinese Clean Air Action Plan, are needed to reverse the increase in ozone.

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Section: Stepwise Multiple Linear Regression (Mlr) Modelmentioning

confidence: 99%

Section: Stepwise Multiple Linear Regression (Mlr) Modelmentioning

confidence: 99%

Section: Stepwise Multiple Linear Regression (Mlr) Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences

Li¹,

Jacob²,

Shen³

et al. 2020

Atmos. Chem. Phys.

386

159

View full text Add to dashboard Cite

show abstract

A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations

et al. 2022

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China experienced worsening ground-level ozone (O 3 ) pollution from 2013 to 2019. In this study, meteorological parameters, including surface temperature (T 2 ), solar radiation (SW), and wind speed (WS), were classified into two aspects, (1) Photochemical Reaction Condition (PRC = T 2 × SW) and ( 2) Physical Dispersion Capacity (PDC = WS). In this way, a Meteorology Synthetic Index (MSI = PRC/PDC) was developed for the quantification of meteorology-induced ground-level O 3 pollution. The positive linear relationship between the 90th percentile of MDA8 (maximum daily 8-h average) O 3 concentration and MSI determined that the contribution of meteorological changes to ground-level O 3 varied on a latitudinal gradient, decreasing from ~40% in southern China to 10%-20% in northern China. Favorable photochemical reaction conditions were more important for ground-level O 3 pollution. This study proposes a universally applicable index for fast diagnosis of meteorological roles in ground-level O 3 variability, which enables the assessment of the observed effects of precursor emissions reductions that can be used for designing future control policies.

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Exploring the causes for co-pollution of O3 and PM2.5 in summer over North China

Wei

Cai

et al. 2022

Environ Monit Assess

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Driving factors of the significant increase in surface ozone in the Yangtze River Delta, China, during 2013–2017

Cited by 63 publications

References 35 publications

Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences

Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences

A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations

Exploring the causes for co-pollution of O3 and PM2.5 in summer over North China

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