The characteristics of abnormal wintertime pollution events in the Jing-Jin-Ji region and its relationships with meteorological factors

Zhu, Wenhui; Xu, Xiangde; Zheng, Jun; Yan, Peng; Wang, Yinjun; Cai, Wenyue

doi:10.1016/j.scitotenv.2018.01.083

Cited by 84 publications

(29 citation statements)

References 21 publications

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“…During the high air pollution days, the contours show a small ridge in the vicinity of the red positive cluster (Figure 3d), and the ridge in Russia disappears. Previous studies also found that the anticyclonic circulations have significant effects on the air quality in China Miao et al, 2017;Zhu et al, 2018) and that the Siberian high leads to reduced air pollution in North China Yin & Wang, 2017); our results are consistent with these studies. The U.S. networks exhibit similar results.…”

Section: Resultssupporting

confidence: 92%

Significant Impact of Rossby Waves on Air Pollution Detected by Network Analysis

Zhang

Fan

Chen

et al. 2019

Geophysical Research Letters

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Air pollution fluctuations have been found to strongly depend on the weather dynamics. Here we identify the significant atmospheric processes that affect the local daily variability of air pollution. We develop a multilayered network analysis to detect the interlinks between the 500‐hPa geopotential height and surface air pollution in both China and the United States. We find that Rossby waves significantly affect air pollution fluctuations through the development of cyclone and anticyclone systems and further affect the local stability of the air and the winds. Some of these systems are remote (∼3,000 km) and lead to air pollution 1–2 days later. Thus, the impact of Rossby waves on human life is greater than previously believed. The rapid warming of the Arctic could slow down Rossby waves, thus increasing human health risks. Our method can help to determine the risk assessment of such extreme events and can improve potential predictability.

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Section: Resultssupporting

confidence: 92%

Significant Impact of Rossby Waves on Air Pollution Detected by Network Analysis

Zhang

Fan

Chen

et al. 2019

Geophysical Research Letters

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“…This haze event was of a long duration (10 days) and had a wide-ranging impact, accompanied by an explosive growth of PM 2.5 concentrations. The maximum hourly PM 2.5 concentration in Beijing exceeded 500 µg•m −3 [13]. Although the intensity of pollution control in the BTH region is unprecedented, the air quality of Baoding, Shijiazhuang, Xingtai, and Handan in the region have still ranked among the last five in China in 2016 and 2017 (Chinese Environmental Status Bulletin), which indicates that weather systems and meteorological factors also play a crucial role in the temporal and spatial evolution of haze pollution, in addition to the pollutant emissions.…”

Section: Introductionmentioning

confidence: 93%

“…In winter, the leeward slope of the LP experiences a significant downdraft influenced by the topography of the plateau, resulting in weaker near-surface winds [13,14]. According to the distribution of average winter ventilation in 2016 ( Figure 6), the distribution of ventilation across PM 2.5 is the primary pollutant in the BTH region during winter, and its correlation with NO 2 is higher than that with SO 2 .…”

Section: Weak Wind Zone Backgroundmentioning

confidence: 99%

“…In this section, we cover representative stations both near to (Beijing, Xingtai, and Zhengzhou) and far from (Xuzhou, Fuyang, and Wuhan) the plateau (Figure 1), to investigate the effects of the plateau on the vertical diffusion of pollutants. Zhu et al [13] calculated the vertical correlation coefficient profiles between the PM 2.5 concentration and air temperature by using the L-band sounding data and the daily averaged PM 2.5 concentration data from January 2016 to January 2017 in Beijing. In this study, we analyzed the differences in atmospheric thermal structures at different distances from the plateau and the vertical diffusion of pollutants by calculating the correlation coefficient profiles between the observed concentration of NO 2 and the L-band sounding temperature for the winters of 2014, 2015, and 2016 ( Figure 8).…”

Section: The Influence Of Plateau On the Vertical Diffusion Of Pollutmentioning

confidence: 99%

“…The elevation differences between the mountainous regions and the plain in the BTH region can be as much as 1000 m (Figure 1). The mountains block the transport of contaminants and alter the local circulation patterns, resulting in thermal and dynamic structures that are not conducive to pollutant diffusion [13,[23][24][25][26]. Through observations of the vertical temperature in the Gore River Valley of Colorado, Whiteman and Mckee [27] found that the inversion in the valley at night fell into the valley after sunrise, which is a common feature in the mountain regions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Causes of “Vulnerable Regions” to Air Pollution in Winter in the Beijing-Tianjin-Hebei Region: A Topographic–Meteorological Impact Model Based on Adaptive Emission Constraint Technique

Meng¹,

Xu²,

Wang³

et al. 2019

Atmosphere

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The Beijing-Tianjin-Hebei (BTH) region, with its complex terrain, has serious issues with air pollution. The northern and western parts of the BTH region are surrounded by the Yan Mountains and Loess Plateau (LP), and the south-central part of that region is a large open plain. Such special geographic configuration is prone to result in a concentrated pollution belt along the north-to-south direction on the eastern margin of the plateau, in addition to the influence of pollutant-emission sources and population distribution. In this study, based on an original adaptive nudging constraint method, we quantitatively analyzed the differences in the influence of emission sources under different dynamic and thermal conditions in the BTH region, which is impacted by a special large-scale leeward slope terrain. The mechanism of air pollution vulnerability and the comprehensive effects of terrain–meteorological conditions on air pollution in the BTH region were also discussed. The results indicated that the atmospheric diffusion conditions on the eastern side of the plateau were poor, and a sub-synoptic-scale “vortex sequence”, which was composed of a series of linked vortices, was identified. The corresponding atmospheric pollution convergence line stretched from Beijing to Hebei to Northern Henan in the lower atmosphere. On the eastern edge of the plateau, a “warm cover” formed by a temperature anomaly and a downdraft impeded the vertical diffusion of pollutants. Therefore, pollutants tended to converge at the eastern edge of the plateau, and the pollution belts would move longitudinally north and south along the topography of the eastern slope when south-westerly and north-easterly winds alternated. The movement generated a “train” of pollutants that were transported on the eastern edge of the plateau, which then caused air pollution to persist there. Such terrain–meteorological conditions amplified the effects of emissions by an average of 50% to 150% in the region, leading the eastern side of the LP to become a “naturally vulnerable region” to haze pollution.

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Impacts of climate anomalies on the interannual and interdecadal variability of autumn and winter haze in North China: A review

Wang

Liu

et al. 2020

Intl Journal of Climatology

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From the perspectives of remote sensing and climatic factors like surface meteorological parameters, large‐scale atmospheric circulations, and external forcing factors (EFFs), the authors synthesize and review spatiotemporal variations of PM2.5 over North China and how climate anomalies affect autumn and winter haze variability in North China according to recent studies. This review focuses on both interannual and interdecadal timescales. It is shown that circulations play an important role in influencing haze variability. Atmospheric circulations, which would be modulated by EFFs like sea surface temperature, sea ice, and snowpack, can affect the climate variability in haze over North China via modulation of surface‐layer parameters that are closely connected with the haze phenomenon. Therefore, EFFs are deemed significant factors impacting the climate variability of haze over North China, serving as paramount precursory signals for haze prediction. Furthermore, this paper suggests potential future research directions for haze variability studies in North China on the basis of summarizing and concluding the associated processes/mechanisms on how climatic factors affect haze variability, which could provide reference for treating and forecasting in situ hazy conditions.

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The characteristics of abnormal wintertime pollution events in the Jing-Jin-Ji region and its relationships with meteorological factors

Cited by 84 publications

References 21 publications

Significant Impact of Rossby Waves on Air Pollution Detected by Network Analysis

Significant Impact of Rossby Waves on Air Pollution Detected by Network Analysis

The Causes of “Vulnerable Regions” to Air Pollution in Winter in the Beijing-Tianjin-Hebei Region: A Topographic–Meteorological Impact Model Based on Adaptive Emission Constraint Technique

Impacts of climate anomalies on the interannual and interdecadal variability of autumn and winter haze in North China: A review

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