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Characteristics and cause analysis of heavy haze in Changchun City in Northeast China

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Abstract

Northeast China has been reported as having serious air pollution in China with increasing occurrences of severe haze episodes. Changchun City, as the center of Northeast China, has longstanding industry and is an important agricultural base. Additionally, Changchun City has a long winter requiring heating of buildings emitting pollution into the air. These factors contribute to the complexity of haze pollution in this area. In order to analyze the causes of heavy haze, surface air quality has been monitored from 2013 to 2015. By using satellite and meteorological data, atmospheric pollution status, spatio-temporal variations and formation have been analyzed. Results indicated that the air quality in 88.9% of days exceeding air quality index (AQI) level-1 standard (AQI >50) according to the National Ambient Air Quality Standard (NAAQS) of China. Conversely, 33.7% of the days showed a higher level with AQI > 100. Extreme haze events (AQI > 300) occurred frequently during agricultural harvesting period (from October 10 to November 10), intensive winter heating period (from Late-December to February) and period of spring windblown dust (April and May). Most daily concentrations of gaseous pollutants, i.e., NO2 (43.8 μg/m3), CO (0.9 mg/m3), SO2 (37.9 μg/m3), and O3 (74.9 μg/m3) were evaluated within level-1 concentration limits of NAAQS standards. However, particulate matter (PM2.5 and PM10) concentrations (67.3 μg/m3and 115.2 μg/m3, respectively) were significantly higher than their level-1 limits. Severe haze in spring was caused by offsite transported dust and windblown surface soil. Heavy haze periods during fall and winter were mainly formed by intensive emissions of atmospheric pollutants and steady weather conditions (i.e., low wind speed and inversion layer). The overlay emissions of widespread straw burning and coal combustion for heating were the dominant factors contributing to haze in autumn, while intensive coal burning during the coldest time was the primary component of total emissions. In addition, general emissions including automobile exhaust, road and construction dust, residential and industrial activities, have significantly increased in recent years, making heavy haze a more frequent occurrence. Therefore, both improved technological strategies and optimized pollution management on a regional scale are necessary to minimize emissions in specified seasons in Changchun City, as well as comprehensive control measures in Northeast China.

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References

  • Bao J Z, Yang X P, Zhao Z Y et al., 2015. The spatial-temporal characteristics of air pollution in China from 2001–2014. International Journal of Environmental Research and Public Health, 12(12): 15875–15887. doi: 10.3390/ijerph121215029

    Article  Google Scholar 

  • Cao J J, Wu F, Chow J C et al., 2005. Characterization and source apportionment of atmospheric organic and elemental carbon during fall and winter of 2003 in Xi’an, China. Atmosphere Chemistry and Physics, 5(11): 3127–3137. doi: 10.5194/acp-5-3127-2005

    Article  Google Scholar 

  • Cao J J, Shen Z X, Chow J C et al., 2012. Winter and summer PM2.5 chemical compositions in fourteen Chinese cities. Journal of the Air & Waste Management Association, 62(10): 1214–1226. doi: 10.1080/10962247.2012.701193

    Article  Google Scholar 

  • Chan C K, Yao X H, 2008. Air pollution in mega cities in China. Atmospheric Environment, 42(1): 1–42. doi: 10.1016/j.atomsenv.2007.09.003

    Article  Google Scholar 

  • Chang S Y, Chou C C K, Liu S et al., 2013. The Characteristics of PM2.5 and its chemical compositions between different prevailing wind patterns in Guangzhou. Aerosol and Air Quality Research, 13(4): 1373–1383. doi: 10.4209/aaqr.2012.09.0253

    Google Scholar 

  • Chen R J, Kan H D, Chen B H et al., 2012. Association of particulate air pollution with daily mortality: the China air pollution and health effects study. American Journal of Epidemiology, 175(11): 1173–1181. doi: 10.1093/aje/kwr425

    Article  Google Scholar 

  • Chen T, He J, Lu X W et al., 2016b. Spatial and temporal variations of PM2.5 and its relation to meteorological factors in the urban area of Nanjing, China. International Journal of Environmental Science and Pollution Research, 13(9): 921. doi: 10.3390/ijerph13090921.

    Google Scholar 

  • Chen W, Wang F S, Xiao G F et al., 2015a. Air quality of Beijing and impacts of the new ambient air quality standard. Atmosphere, 6(8): 1243–1258. doi: 10.3390/atmos6081243

    Article  Google Scholar 

  • Chen W, Tang H Z, Zhao H M, 2016a. Urban air quality evaluations under two versions of the national ambient air quality standards of China. Atmospheric Pollution Research, 7(1): 49–57. doi: 10.1016/j.apr.2015.07.004

    Article  Google Scholar 

  • Chen W W, Tong D Q, Zhang S C et al., 2015b. Temporal variability of atmospheric particulate matter and chemical composition during a growing season at an agricultural site in northeastern China. Journal of Environmental Science, 38: 133–141. doi: 10.1016/j.jes.2015.05.023

    Article  Google Scholar 

  • Chen W W, Tong D Q, Dan M et al., 2017. Typical atmospheric haze during crop harvest season in northeastern China: a case in the Changchun region. Journal of Environmental Sciences, 54: 101–113. doi: 10.1016/j.jes.2016.03.031

    Article  Google Scholar 

  • Curtis L, Rea W, Smith-Willis P et al., 2006. Adverse health effects of outdoor air pollutants. Environment International, 32(6): 815–830. doi: 10.1016/j.envint.2006.03.012

    Article  Google Scholar 

  • Dickerson R R, Li C, Li Z et al., 2007. Aircraft observations of dust and pollutants over northeast China: insight into the meteorological mechanisms of transport. Journal of Geophysical Research, 112(D24): D24S90. doi: 10.1029/2007JD008999

    Article  Google Scholar 

  • Du Xile, Lu Changhe, Wang Hairong et al., 2012. Trends of urban air pollution in Zhengzhou City in 1996–2008. Chinese Geographical Science, 22(4): 402–413. doi: 10.1007/s11769-012-0542-0

    Article  Google Scholar 

  • Fan J W, Zhang R Y, Li G H et al., 2005. Simulations of fine particulate matter (PM2.5) in Houston, Texas. Journal of Geophysical Research, 110(D16): D16203. doi: 10.1029/2005JD005805

    Article  Google Scholar 

  • Fang C S, Zhang Z D, Jin M Y et al., 2017. Pollution characteristics of PM2.5 aerosol during haze periods in Changchun, China. Aerosol and Air Quality Research, 17(4): 888–895. doi: 10.4209/aaqr.2016.09.0407

    Article  Google Scholar 

  • Han B, Kong S F, Bai Z P et al., 2010. Characterization of elemental species in PM2.5 samples collected in four cities of northeast China. Water, Air, & Soil Pollution, 209(1–4): 15–28. doi: 10.1007/s11270-009-0176-8

    Article  Google Scholar 

  • Heal M R, Kumar P, Harrison R M, 2012. Particles, air quality, policy and health. Chemical Society Reviews, 41(9): 6606–6630. doi: 10.1039/C2CS35076A

    Article  Google Scholar 

  • Hu T F, Cao J J, Shen Z X et al., 2012. Size differentiation of individual atmospheric aerosol during winter in Xi’an, China. Aerosol and Air Quality Research, 12(5): 951–960. doi: 10.4209/aaqr.2012.01.0011

    Google Scholar 

  • Huang L K, Wang K, Yuan C S et al., 2010. Study on the seasonal variation and source apportionment of PM10 in Harbin, China. Aerosol and Air Quality Research, 10(1): 86–93. doi: 10.4209/aaqr.2009.04.0025

    Google Scholar 

  • Hyslop N P, 2009. Impaired visibility: the air pollution people see. Atmospheric Environment, 43(1): 182–195. doi: 10.1016/j.atmosenv.2008.09.067

    Article  Google Scholar 

  • Kirk E C, 2006. Visual influences on primate encephalization. Journal of Human Evolution, 51(1): 76–90. doi: 10.1016/j.jhevol.2006.01.005

    Article  Google Scholar 

  • Li Fenglong, 2010. San-dust Storm Monitoring and Analysis of Changchun Region. Changchun: Northeast Normal University. (in Chinese).

    Google Scholar 

  • Li H, Fan H, Mao F Y, 2016. A visualization approach to air pollution data exploration-A case study of air quality index (PM2.5) in Beijing, China. Atmosphere, 7(3): 35. doi: 10.3390/atmos7030035

    Article  Google Scholar 

  • Li M N, Zhang L L, 2014. Haze in China: current and future challenges. Environmental Pollution, 189: 85–86. doi: 10.1016/j.envpol.2014.02.024

    Article  Google Scholar 

  • Liu Congrong, 2005. Analysis of ambient air PM10 in sand and dust weather. Environmental Protection Science, 31(1): 44–46. (in Chinese)

    Google Scholar 

  • Long X, Tie X X, Cao J J et al., 2016. Impact of crop field burning and mountains on heavy haze in the North China Plain: a case study. Atmospheric Chemistry and Physics, 16(5): 9675–9691. doi: 10.5194/acp-16-9675-2016

    Article  Google Scholar 

  • Marcazzan G M, Vaccaro S, Valli G et al., 2001. Characterisation of PM10 and PM2.5 particulate matter in the ambient air of Milan (Italy). Atmospheric Environment, 35(27): 4639–4650. doi: 10.1016/S1352-2310(01)00124-8

    Article  Google Scholar 

  • MEP (Ministry of Environmental Protection of People’s Republic of China), 2016a. HJ 633-2012 Technical Regulation on Ambient Air Quality Index (on trial). Beijing: China Environmental Science Press. (in Chinese)

    Google Scholar 

  • MEP (Ministry of Environmental Protection of People’s Republic of China), 2016b. GB 3095-2012 Ambient Air Quality Standards. Beijing: China Environmental Science Press. (in Chinese)

    Google Scholar 

  • NBSC (National Bureau of Statistics of China), MA (Ministry of Agriculture), SFA (State Forestry Administration) et al., 2013. China Agriculture Yearbook 2012. Beijing: China Agriculture Press. (in Chinese)

    Google Scholar 

  • Shen G F, Yuan S Y, Xie Y N et al., 2014. Ambient levels and temporal variations of PM2.5 and PM10 at a residential site in the mega-city, Nanjing, in the western Yangtze River Delta, China. Journal of Environmental Science and Health, Part A, 49(2): 171–178. doi: 10.1080/10934529.2013.838851

    Article  Google Scholar 

  • Sun Yuwei, Zhou Xuehua, Yuan Qi et al., 2012. Particle and gaseous pollutant levels and sources in the late fall and early winter in Ji’nan City. Research of Environmental Sciences, 25(3): 245–252. (in Chinese)

    Google Scholar 

  • van Donkelaar A, Martin R V, Brauer M et al., 2010. Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application. Environmental Health Perspectives, 118(6): 847–855. doi: 10.1289/ehp.0901623

    Article  Google Scholar 

  • Wang F, Chen D S, Cheng S Y et al., 2010. Identification of regional atmospheric PM10 transport pathways using HYSPLIT, MM5-CMAQ and synoptic pressure pattern analysis. Environmental Modelling & Software, 25(8): 927–934. doi: 10.1016/j.envsoft.2010.02.004

    Article  Google Scholar 

  • Wang J, Christopher S A, 2003. Intercomparison between satellite-derived aerosol optical thickness and PM2.5 mass: implications for air quality studies. Geophysical Research Letters, 30(21): 2095. doi: 10.1029/2003GL018174

    Article  Google Scholar 

  • Wang T, Cheung V T F, Anson M et al., 2001. Ozone and related gaseous pollutants in the boundary layer of eastern China: overview of the recent measurements at a rural site. Geophysical Research Letters, 28(12): 2373–2376. doi: 10.1029/2000GL012378

    Article  Google Scholar 

  • WHO. WHO air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide. http://apps.who.int/iris/bitstream/10665/69477/1/WHO_SDE_PHE_OEH_06.02_eng.pdf. 2005.

  • Wu Y S, Zhang F Y, Shi Y et al., 2016. Spatiotemporal characteristics and health effects of air pollutants in Shenzhen. Atmospheric Pollution Research, 7(1): 58–65. doi: 10.1016/j.apr.2015.07.005

    Article  Google Scholar 

  • Xinhua News Agency. Rare haze attack Northeast China mainly because ‘the wind is too small’? Available at: http://news.xinhuanet.com/2013-10/21/c_117809577.htm.2013-10-31.

  • Xu P, Chen Y F, Ye X J, 2013. Haze, air pollution, and health in China. The Lancet, 382(9910): 2067. doi: 10.1016/S0140-6736(13)62693-8

    Article  Google Scholar 

  • Xu X P, Gao J, Chen Y D et al., 1994. Air pollution and daily mortality in residential areas of Beijing, China. Archives of Environmental Health: An International Journal, 49(4): 216–222. doi: 10.1080/00039896.1994.9937470(请核对作者)

    Article  Google Scholar 

  • Xu Y Y, Zhu H, Tang J, 2016. The effects of haze on dew quality in the urban ecosystem of Changchun, Jilin Province, China. Environmental Monitoring and Assessment, 188(2): 124. doi: 10.1007/s10661-016-5131-8

    Article  Google Scholar 

  • Yan S J, Cao H, Chen Y et al., 2016. Spatial and temporal characteristics of air quality and air pollutants in 2013 in Beijing. Environmental Science and Pollution Research, 23(14): 13996–14007. doi: 10.1007/s11356-016-6518-3

    Article  Google Scholar 

  • Zhang Wenjie, Sun Yele, Zhuang Guoshun et al., 2006. Characteristics and seasonal variations of PM2.5, PM10, and TSP aerosol in Beijing. Biomedical and Environmental Sciences, 19(6): 461–468.

    Google Scholar 

  • Zhang X Y, Wang Y Q, Niu T et al., 2012. Atmospheric aerosol compositions in China: spatial/temporal variability, chemical signature, regional haze distribution and comparisons with global aerosols. Atmosphere Chemistry and Physics, 12(2): 779–799. doi: 10.5194/acp-12-779-2012

    Article  Google Scholar 

  • Zhao Guojun, Sun Yu, Meng Xiangmei et al., 2010. Analyses on variation and forecase of inhalable particulate matter in Changchun air contaminations. Journal of Changchun University of Science and Technology (Natural Science Edition), 33(4): 177–179. (in Chinese)

    Google Scholar 

  • Zhou Qinqian, Zhang Shichun, Chen Weiwei et al., 2014. Pollution characteristics and sources of SO2, O3 and NOx in Changchun. Research of Environmental Sciences, 27(7): 768–774. (in Chinese)

    Google Scholar 

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Acknowledgments

We thank the Qingyue Open Environmental Data Center for providing the monitoring atmospheric pollutant data.

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Correspondence to Weiwei Chen or Shichun Zhang.

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Foundation item: Under the auspices of National Key Research and Development Project (No. 2017YFC0212300), Youth Innovation Promotion Association CAS (No. 2017275), Frontier Science Research Plan CAS (No. QYZDB-SSW-DQC045)

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Ma, S., Chen, W., Zhang, S. et al. Characteristics and cause analysis of heavy haze in Changchun City in Northeast China. Chin. Geogr. Sci. 27, 989–1002 (2017). https://doi.org/10.1007/s11769-017-0922-6

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