An estimation method for regional transport contributions from emission sources based on a high-mountain site: a case study in Zhumadian, China

Huang, Haiyan; Liu, Baoshuang; Li, Sen; Choe, Tong-Hyok; Dai, Qili; Gu, Yu; Diao, Liuli; Zhang, Songfeng; Bi, Xinhui; Zhong-wei, Luo; Lu, Miaomiao; Zhang, Yufen; Feng, Yinchang

doi:10.1016/j.atmosenv.2021.118664

Cited by 5 publications

(1 citation statement)

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“…The organic carbon (OC) and elemental carbon (EC) of samples during different years were determined using a thermal-optical carbon analyser, based on the IMPROVE (in 2011-2012) and IMPROVE_A (in 2016 and 2019) thermaloptical reflectance protocol. The detailed instrumental information is listed in Table S5 in the Supplement, and analysis procedures and quality controls are described in Text S1 in the Supplement as well as prior works from Liu et al (2021), Huang et al (2021), Y. Y. Tian et al (2014).…”

Section: Sampling and Analysismentioning

confidence: 99%

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

Liu

Wang

He³

et al. 2022

Atmos. Chem. Phys.

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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 (CAAP; 2013–2017) and the Blue Sky Protection Campaign (BSPC; 2018–2020) 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. A knowledge gap still existed with respect to how sources changed before and after the CAAP and BSPC were implemented, respectively, particularly in coastal areas 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 combustion as the meteorologically normalized SO2 dropped by ∼ 15.5 % yr−1, and the annual average dispersion-normalized SO42- decreased by ∼ 41.5 %. Change in the meteorologically normalized NO2 was relatively stable (∼ 1.0 % yr−1), and NO3- changed inappreciably in 2016–2019 but was 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 steel-making enterprises. Note that vehicle emissions were increased in importance as opposed to the other primary sources. Similar to other megacities, Qingdao is also at risk of increased ozone pollution that in turn facilitates secondary-particle 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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Section: Sampling and Analysismentioning

confidence: 99%