An unusual high ozone event over the North and Northeast China during the record-breaking summer in 2018

Chen, Lu; Mao, J.; Wang, Lili; Guan, Zhaoyong; Zhao, Guangna; Li, Mingge

doi:10.1016/j.jes.2020.11.030

Cited by 12 publications

(3 citation statements)

References 40 publications

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“…An overall decreasing trend was observed from August to Decemb The spring and summer emerge as peak seasons for O3 pollution in Heilongjiang Provin which is attributed to heightened temperatures, prolonged daylight, and increased lig intensity. These factors promoted the photolysis of NOx and enhanced evaporation VOCs, triggering redox reactions and resulting in accelerated ozone production and e vated O3 levels [32][33][34]. It is worth mentioning the significantly higher O3 concentration the cities in Heilongjiang Province during 2020 and April 2021 compared with April 20 These cities were affected by pandemic-induced restrictions on urban traffic and facto operations, coupled with relatively consistent meteorological conditions over the p three years.…”

Section: Month-by-month Change Characteristicsmentioning

confidence: 98%

“…The spring and summer emerge as peak seasons for O 3 pollution in Heilongjiang Province, which is attributed to heightened temperatures, prolonged daylight, and increased light intensity. These factors promoted the photolysis of NOx and enhanced evaporation of VOCs, triggering redox reactions and resulting in accelerated ozone production and elevated O 3 levels [32][33][34]. It is worth mentioning the significantly higher O 3 concentration in the cities in Heilongjiang Province during 2020 and April 2021 compared with April 2019.…”

Section: Month-by-month Change Characteristicsmentioning

confidence: 99%

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Characteristics of Temporal and Spatial Changes in Ozone and PM2.5 and Correlation Analysis in Heilongjiang Province

Xuan,

Li,

Wang

et al. 2023

Atmosphere

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The escalating ambient ozone (O3) pollution in China has garnered significant attention, necessitating an intensified focus on O3 pollution control and the coordinated management of PM2.5 and O3. This study reviews and analyzes the spatiotemporal characteristics of O3 and PM2.5 concentrations in 13 cities within Heilongjiang Province from 2019 to 2021. The analysis is based on data sourced from the ecological environment monitoring network. In addition to this, correlation analyses were executed to explore the interaction between the two pollutants. The findings reveal a declining trajectory in PM2.5 concentration over the past three years, while O3 concentration has exhibited an upward trend. Temporally, both O3 and PM2.5 concentrations display pronounced seasonal variations, with peaks evident during the spring and summer (May to July), as well as in the winter (January, February, and December). From a spatial standpoint, elevated O3 concentrations were identified in the southwestern cities of Harbin, Daqing, and Suihua, while the northwestern cities of Daxinganling and Heihe exhibited comparatively lower O3 concentrations, but the difference was not significant. Conversely, PM2.5 concentrations demonstrated substantial variation among the 13 cities (districts). Regarding their correlation, a noteworthy positive correlation between the two pollutants was observed in April and May, contrasted by a negative correlation in November and December. Weather categories such as excellent, good, lightly polluted, moderately polluted, and other weather showed a lower correlation, whereas heavily polluted and severely polluted categories demonstrated a stronger correlation. Furthermore, the correlation with severe pollution is greater than that with heavily polluted, further indicating that heavier air pollution is more conducive to the coexistence of O3 and PM2.5 to form composite pollution. On a provincial scale, the correlation between the two pollutants is progressively increasing annually. This signifies a closely intertwined and intricate interaction and transformation relationship between O3 and PM2.5, accentuating the urgency for synergistic control measures.

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Section: Month-by-month Change Characteristicsmentioning

confidence: 98%

Section: Month-by-month Change Characteristicsmentioning

confidence: 99%

Characteristics of Temporal and Spatial Changes in Ozone and PM2.5 and Correlation Analysis in Heilongjiang Province

Xuan,

Li,

Wang

et al. 2023

Atmosphere

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“…There O3 concentrations are usually the lowest in summer due to the prevailing southerlies with clean air from the ocean and the associated large rainfall, while the worst O3 pollution usually happens in fall mainly due to the occasional northerly winds during the monsoonal transition, thereby importing precursors from the north, and stable and still relatively warm and sunny weather conditions before the winter starts. Downdrafts in the periphery circulation of a typhoon system can also strongly enhance surface O3 before typhoon landing (Jiang et al, 2015;Lu et al, 2021;Li et al, 2022). On one the hand, the poor ventilation in the peripheral subsidence region of typhoons favors the accumulation of O3 and its precursors.…”

Section: Model Development and Validationmentioning

confidence: 99%

Multidecadal ozone trends in China and implications for human health and crop yields: A hybrid approach combining chemical transport model and machine learning

Mao

Tai

Yung

et al. 2023

Preprint

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Abstract. Surface ozone (O3) is well known to pose significant threats to both human health and crop production worldwide. However, a multi-decadal assessment of O3 impacts on public health and crop yields in China is lacking due to insufficient long-term continuous O3 observations. In this study, we used a machine learning (ML) algorithm to correct the biases of O3 concentrations simulated by the chemical transport model from 1981–2019 by integrating multi-source datasets. The ML-enabled bias correction offers improved performance in reproducing observed O3 concentrations, and thus further improves our estimates of O3 impacts on human health and crop yields. Our results show that a warm-season increasing trend of O3 in Beijing-Tianjin-Hebei and its surroundings (BTHs), Yangtze River Delta (YRD), Sichuan Basin (SCB) and Pearl River Delta (PRD) regions are 0.32 μg m–3 yr–1, 0.63 μg m–3 yr–1, 0.84 μg m–3 yr–1, and 0.81 μg m–3 yr–1 from 1981 to 2019, respectively. In more recent years, O3 concentrations experience more fluctuations in the four major regions. Our results show that only BTHs have a perceptible increasing trend of 0.81 μg m–3 yr–1 during 2013–2019. Meteorological factors play important roles in modulating the interannual variability of surface O3, wherein synoptic systems (e.g., high-pressure system, Western Pacific subtropical high, tropical cyclone) are closely related to the spatiotemporal distribution of regional O3 via influencing regional weather conditions and transport processes. The estimated annual all-cause premature deaths induced by O3 increased from ~55,900 in 1981 to ~162,000 in 2019 with an increasing trend of ~2,980 deaths yr–1. The annual premature deaths related to respiratory and cardiovascular disease are ~34,200 and ~40,300 in 1998, and ~26,500 and ~79,000 in 2019, having a rate of change of –546 and +1,770 deaths yr–1 during 1998–2019, respectively. The estimated annual crop relative yield loss (RYL) for wheat, rice, soybean, and maize is 3.3 %, 5.5 %, 10.6 %, and 2.6 % in 1981, and increases to 5.9 %, 6.8 %, 15.1 %, and 4.1 % in 2019, respectively. The average annual crop RYL from 1981 to 2019 for wheat, rice, soybean, and maize range between 1.1–7.2 %, 2.7–9.4 %, 6.3–24.8 %, and 0.8–7.4 %, respectively, using different concentration-based metrics. Our study, for the first time, used ML to provide a robust dataset of O3 concentrations over the past four decades in China, enabling a long-term evaluation of O3-induced crop losses and health impacts. These findings are expected to fill the gap in the long-term O3 trend and impact assessment in China.

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High O3 pollution initiated by cold front passage over Pearl River Estuary

Wu,

Liu,

Ling

et al. 2024

Atmospheric Research

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An unusual high ozone event over the North and Northeast China during the record-breaking summer in 2018

Cited by 12 publications

References 40 publications

Characteristics of Temporal and Spatial Changes in Ozone and PM2.5 and Correlation Analysis in Heilongjiang Province

Characteristics of Temporal and Spatial Changes in Ozone and PM2.5 and Correlation Analysis in Heilongjiang Province

Multidecadal ozone trends in China and implications for human health and crop yields: A hybrid approach combining chemical transport model and machine learning

High O3 pollution initiated by cold front passage over Pearl River Estuary

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