On the heavy aerosol pollution and its meteorological dependence in Shandong province, China

Li, Yuan; Miao, Yucong; Che, Huizheng; Liu, Shuhua

doi:10.1016/j.atmosres.2021.105572

Cited by 19 publications

(12 citation statements)

References 41 publications

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“…Although concentration skewness was mainly positive due to outliers linked to stable stratification, close to zero or even negative skewness was observed in wind speed intervals above 6 m•s −1 . These distributions may be only slightly affected by outliers owing to prevailing transport by wind, with the skewness contrast being noticeable for CH 4 .…”

Section: Discussionmentioning

confidence: 99%

“…Five wind speed intervals were used with a 1 m•s −1 width and one additional interval for wind speeds above 5 m•s −1 . The decrease in concentration for both gases was noticeable for wind speeds below 4 m•s −1 , and the increase was slow above this wind speed for CO 2 , whereas concentrations remained steady for CH 4 . In both cases, the relatively high CO 2 concentrations for high wind speeds were attributed to transport of polluted air masses.…”

Section: Daily and Annual Cyclesmentioning

confidence: 91%

“…Mousavinezhad et al [3] studied the ozone trend at these three sites and concluded that changes in meteorological variables, such as solar radiation, temperature, and sea level pressure, were associated with ozone changes of around 32% in the Beijing-Tianjin-Hebei region. Synoptic types have usually been considered as a suitable procedure to link air pollution and meteorology [4]. However, other analyses address this relationship by considering individual meteorological variables [5].…”

Section: Introductionmentioning

confidence: 99%

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Influence of Wind Speed on CO2 and CH4 Concentrations at a Rural Site

Pérez

García

Sánchez

et al. 2021

IJERPH

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Meteorological variables have a noticeable impact on pollutant concentrations. Among these variables, wind speed is typically measured, although research into how pollutants respond to it can be improved. This study considers nine years of hourly CO2 and CH4 measurements at a rural site, where wind speed values were calculated by the METEX model. Nine wind speed intervals are proposed where concentrations, distribution functions, and daily as well as annual cycles are calculated. Contrasts between local and transported concentrations are around 5 and 0.03 ppm for CO2 and CH4, respectively. Seven skewed distributions are applied, and five efficiency criteria are considered to test the goodness of fit, with the modified Nash–Sutcliffe efficiency proving to be the most sensitive statistic. The Gumbel distribution is seen to be the most suitable for CO2, whereas the Weibull distribution is chosen for CH4, with the exponential function being the worst. Finally, daily and annual cycles are analysed, where a gradual decrease in amplitude is observed, particularly for the daily cycle. Parametric and nonparametric procedures are used to fit both cycles. The latter gave the best fits, with the agreement being higher for the daily cycle, where evolution is smoother than for the annual cycle.

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Section: Discussionmentioning

confidence: 99%

Section: Daily and Annual Cyclesmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

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Influence of Wind Speed on CO2 and CH4 Concentrations at a Rural Site

Pérez

García

Sánchez

et al. 2021

IJERPH

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“…Qingdao, as an economically developed coastal megacity in northern China, has suffered severe air pollution (Bie et al, 2021;Gao et al, 2020;Li et al, 2017). It has been reported by Li et al (2021a) that meteorology plays a critical role in the formation of pollution for this coastal region. In addition, based on measures taken in accordance with the "CAAP" since 2013 and the "BSPC" since 2018, source interventions such as the relocation and transformation of businesses and industries from the Old Town to port regions (Liu et al, 2021a) have been implemented to improve the air quality in Qingdao.…”

Section: Introductionmentioning

confidence: 99%

Dramatic changes in atmospheric pollution source contributions for a coastal megacity in North China from 2011 to 2020

Liu

Wang

He³

et al. 2022

Preprint

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Abstract. Understanding the effectiveness of long-term air pollution regulatory measures is important for control policy formulation. Efforts have been made using chemical transport modelling and statistical approaches to evaluate the efficacy of the Clean Air Action Plan (2013–2017, CAAP) and the Blue Sky Protection Campaign (2018–2020, BSPC) enacted in China. Changes in air quality due to reduction in emissions can be masked by meteorology, making it highly challenging to reveal the real effects of control measures. Knowledge gap still existed with respect to how sources changed before and after the CAAP and BSPC implemented, respectively, particularly in coastal area where anthropogenic emissions mixed with additional natural sources (e.g., marine aerosol). This work applied a machine learning-based meteorological normalization approach to decouple the meteorological effects from air quality trend in a coastal city in northern China (Qingdao). Secondly, the relative changes in source contributions to ambient PM2.5 with a ~10-year observation interval (2011–2012, 2016, and 2019) were also investigated. We discovered that the largest emission reduction section was likely from coal combustions, as the meteorologically normalized SO2 dropped by ~15.5 % per year and dispersion normalized SO42− decreased by ~41.5 % for annual average. Change in the meteorologically normalized NO2 was relatively stable (~1.0 % yr−1), and NO3− changed inappreciable in 2016–2019 but significantly higher than that prior to the CAAP. Crustal dust decreased remarkably after the CAAP began. Industrial emissions, for example, steel-related smelting, decreased after 2016 due to the relocation of steelmaking enterprises. Note that vehicle emissions were increased in importance, as opposed to the other primary sources. Similar to other mega cities, Qingdao also risks increased ozone pollution that in turns facilitate secondary particles formation in the future. The policy assessment approaches applied in this work also work for other places where air quality management is highly in demand to reduce air pollution.

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“…These studies improve our understanding of the sources and formation process of air pollution. However, as one of the most serious air pollution cities among the cities in China [23,24], there are few studies on the formation and characteristics of haze pollution in Jinan. To better grasp the pattern of heavy pollution weather occurrence and provide reference for the local government to introduce relevant environmental policies in a timely manner, it is urgent and necessary to study the sources, composition and formation process of the persistent heavy pollution occurring in Jinan area.…”

Section: Introductionmentioning

confidence: 99%

Study of Persistent Haze Pollution in Winter over Jinan (China) Based on Ground-Based and Satellite Observations

Shi

Jin

et al. 2021

Remote Sensing

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A comprehensive study of the formation process of haze events in the Jinan area of China during winter is conducted based on the ground-based and satellite observation data from 1 December 2020 to 12 January 2021. According to variation of pollutant concentrations, two typical types of haze pollution are found in the Jinan area. During the type 1 haze pollution, the PM2.5 concentrations are greater than 75 μgm−3 and less than 115 μgm−3 with a short duration. The haze is mainly caused by local pollutant emissions and the accumulation of pollutants transported from areas around Jinan. By contrast, type 2 haze pollution episodes have a long duration and peak PM2.5 concentrations between 150 μgm−3 and 250 μgm−3, which is considered heavy pollution. Type 2 haze pollution is mainly caused by a mixture of long-range transported dust with locally emitted pollutants. Moreover, the unfavorable meteorological factors such as stable inversion layer, continuous cold high-pressure system, high relative humidity, and low wind speed play an important role in the formation of both types of haze pollution. In addition, there are significant photochemical processes during the haze pollutions. According to satellite data, the AOD in Jinan and surrounding areas is maintained at a high-level during haze pollution. It indicates that the local pollution is often accompanied by regional pollution during haze pollution events. This study reveals the formation process of haze pollution and promotes the study of regional climate change, which can provide guidance to the government in the prevention and control of haze pollution in East China.

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On the heavy aerosol pollution and its meteorological dependence in Shandong province, China

Cited by 19 publications

References 41 publications

Influence of Wind Speed on CO2 and CH4 Concentrations at a Rural Site

Influence of Wind Speed on CO2 and CH4 Concentrations at a Rural Site

Dramatic changes in atmospheric pollution source contributions for a coastal megacity in North China from 2011 to 2020

Study of Persistent Haze Pollution in Winter over Jinan (China) Based on Ground-Based and Satellite Observations

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