2012
DOI: 10.5194/acp-12-481-2012
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A high-resolution emission inventory of primary pollutants for the Huabei region, China

Abstract: Huabei, located between 32° N and 42° N, is part of eastern China and includes administratively the Beijing and Tianjin Municipalities, Hebei and Shanxi Provinces, and Inner-Mongolia Autonomous Region. Over the past decades, the region has experienced dramatic changes in air quality and climate, and has become a major focus of environmental research in China. Here we present a new inventory of air pollutant emissions in Huabei for the year 2003 developed as part of the project Influence of Pollution on Aerosol… Show more

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Cited by 203 publications
(122 citation statements)
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“…Trajectory cluster 5 mainly originated from Ningxia Province and passed over Shaanxi, Shanxi, and Hebei before arriving at Shijiazhuang, accounting for 10.8 % of the total trajectories, showing the features of small-scale, short-distance air mass transport and significantly elevated levels of PM 10 (451 µg m −3 ), PM 2.5 (303 µg m −3 ), SO 2 (83 µg m −3 ), NO 2 (104 µg m −3 ), and CO (4.8 mg m −3 ) with trajectory cluster 5 possibly associated with the sources and accumulation of pollutants from surrounding areas. As it is well known that the Beijing-Tianjin-Hebei region is one of the most severely polluted areas in China (Gu et al, 2011;Zhao et al, 2012;Chen et al, 2013;Bi et al, 2014;Wang et al, 2014), it might be an important reason why the concentrations of atmospheric pollutants were higher with trajectory clusters 1 and 5 (Fig. 11 and Table 2).…”
Section: Backward Trajectory and Pscf Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Trajectory cluster 5 mainly originated from Ningxia Province and passed over Shaanxi, Shanxi, and Hebei before arriving at Shijiazhuang, accounting for 10.8 % of the total trajectories, showing the features of small-scale, short-distance air mass transport and significantly elevated levels of PM 10 (451 µg m −3 ), PM 2.5 (303 µg m −3 ), SO 2 (83 µg m −3 ), NO 2 (104 µg m −3 ), and CO (4.8 mg m −3 ) with trajectory cluster 5 possibly associated with the sources and accumulation of pollutants from surrounding areas. As it is well known that the Beijing-Tianjin-Hebei region is one of the most severely polluted areas in China (Gu et al, 2011;Zhao et al, 2012;Chen et al, 2013;Bi et al, 2014;Wang et al, 2014), it might be an important reason why the concentrations of atmospheric pollutants were higher with trajectory clusters 1 and 5 (Fig. 11 and Table 2).…”
Section: Backward Trajectory and Pscf Analysismentioning
confidence: 99%
“…As a consequence of rapid industrialization and urbanization, China has been suffering from air quality degradation in recent years (Zhao et al, 2011;Fu et al, 2014;Han et al, 2014;Gao et al, 2015;Hao et al, 2017). Frequently occurring severe haze is characterized by long duration, extensive coverage, and sharply increasing particulate concentration (Tao et al, 2014;Jiang and Xia, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…In China, the Ministry of Environmental Protection (MEP) lists SO 2 as one of the three conventional pollutants, together with NO 2 and PM 10 , and daily averaged SO 2 concentrations were used as an indicator to quantify the level of pollution (Yan et al, 2010). This trace gas is predominantly produced by the burning of fossil fuels including oil and coal, and the smelting of mineral ores that contain sulfur (Yan et al, 2005;Zhao et al, 2012). SO 2 contributes to a large extent to the process of acidification resulting in acid rain and to the formation of sulfate aerosols, both of which cause human health damages, building surface corrosion, and visibility reduction.…”
Section: Introductionmentioning
confidence: 99%
“…Over the North China Plain, high stacks emit a significantly larger amount of SO 2 compared to small stacks (Zhao et al, 2012). The frequent surface temperature inversions, together with the large SO 2 emissions from higher stacks, favor the formation of elevated SO 2 pollution layers over Beijing (Chen et al, 2009).…”
Section: Measuring the Discriminative Power Of Som Technique For Pollmentioning
confidence: 99%