Elsevier

Environmental Pollution

Volume 240, September 2018, Pages 155-166
Environmental Pollution

Chemical nature of PM2.5 and PM10 in Xi'an, China: Insights into primary emissions and secondary particle formation

https://doi.org/10.1016/j.envpol.2018.04.111Get rights and content

Highlights

  • 33% and 42% of ambient SOC and sulfate in winter were from primary emissions.

  • Sulfate, OC, and EC have decreased during wintertime since 2003.

  • The ratio of NO3-/SO42- increased from 0.4 in 2006 to 1.3 in 2014.

Abstract

In Xi'an, a city that frequently experiences serious PM pollution in northern China, 1476 PM10 and 1464 PM2.5 valid daily filter samples were collected at six sites from December 2014 to November 2015 and analyzed for 29 species. The annual mean PM10 and PM2.5 concentrations were 149.4 ± 93.1, 108.0 ± 70.9 μg/m3, respectively. Organic carbon (OC) is the predominant PM2.5 component while crustal material predominated in PM10. Sulfate concentrations, which was the largest component in Xi'an PM in previous studies, were lower than nitrate. Winter sulfate, OC, and elemental carbon (EC) have decreased since 2003, while nitrate remained constant in recent years and the ratio of NO3/SO42− increased from 0.4 in 2006 to 1.3 in 2014. This result suggests that the motor vehicle contribution to PM has increased relative to coal-fired power plant emissions over the past decade. The mass fractions of crustal material, sulfate, and EC in PM2.5 decreased as the PM2.5 concentrations increased from “clean” days (<50 μg/m3) to the highest values, while nitrate significantly increased. Despite forming through secondary reactions, the high concentrations of SOC and SO42− in winter are attributed to primary emissions and particularly to residential heating and cooking with coal. Primary SOC and SO42− accounted for 33% and 42% of their total PM2.5 concentrations in winter, respectively. Therefore, control measures applied to these primary sources can substantially improve air quality.

Introduction

As one of the areas of the world with the severest air pollution, China's airborne particulate matter pollution has drawn much attention from the government, scientists, and the public (Chan and Yao, 2008; Guo et al., 2014; He et al., 2002; Shao et al., 2006; Song et al., 2017a; Wang et al., 2015b). The high particulate matter concentrations have adverse impacts on visibility, climate change, and human health (Huang et al., 2014; Pope, 2002; Song et al., 2017b). The Chinese State Council released the “Action Plan on Prevention and Control of Atmospheric Pollution” on September 10, 2013 after the unprecedented pollution event in early 2013 (China State Council, 2013). This plan aims to reduce PM concentrations across the country, for example, reducing PM2.5 in Beijing-Tianjin-Hebei region by up to 25% by 2017 relative to 2012. Although control policies have been developed and implemented, haze pollution is still severe in most cities in China. In 2013, only 4.1% of the Chinese cities attained the annual average PM2.5 standard (Wang et al., 2017).

Xi'an is a megacity in northwest China with a residential population of 8.7 million and covers an area of about 10,100 square kilometers (Xi'an Statistical Yearbook, 2016), located in the center of the Guanzhong plain, one of the most seriously polluted regions in China (Liu et al., 2016; van Donkelaar et al., 2010; Wang et al., 2015a). The annual average PM2.5 and PM10 concentrations in Xi'an have never attained the annual grade-Ⅱ limit values set by the national ambient air quality standards (NAAQS) of China since it was promulgated in 2012 (GB3095-2012). Severe pollution from both fine and coarse particles in Xi'an, have received widespread attention from the scientific community (Cao et al., 2012b; Chen et al., 2016; Elser et al., 2016; Huang et al., 2014, 2012; Li et al., 2017, 2016; Liu et al., 2017; Shen et al., 2010; Wang et al., 2014b, Wang et al., 2015a; Xu et al., 2016). Generally, the heating-season runs from November 15 to next March 15, and aggravates the local air pollution in Xi'an (Huang et al., 2012). Huang et al. (2014) reported the source apportionment result of PM2.5 during a severe haze pollution event in winter in Xi'an and found that a dust-related source contributed up to 46% of PM2.5 mass. Cao et al. (2005) reported the measurement of atmospheric carbonaceous materials during the fall and winter of 2003 in Xi'an, and found the contribution of coal combustion increased the total winter carbon concentration by up to 44%. The significance of coal combustion primarily used for residential heating and cooking was also reported by Xu et al. (2016), based on the measurement of PM2.5 chemical composition during the winter of 2006, 2008, and 2010 in Xi'an. Their results showed the contribution of coal combustion decreased from 31% in 2006 to 24% in 2010 but still dominated the PM2.5 mass. However, all these studies were conducted at a single sampling site in Xi'an for a limited time. These results were augmented by adding information on the spatial and seasonal variability of PM2.5 with six sampling sites and four seasonal measurement campaigns as reported by Wang et al. (2015a). A recent epidemiologic study conducted in Xi'an suggested that spatial and temporal varying factors might play important roles in modifying the PM2.5-mortality association (Huang et al., 2012).

Particulate matter concentrations and compositions vary with the nature of the sources and related human activities. The government has strengthened its mitigation strategies to reduce the pollution. Thus, continuing development of effective and efficient mitigation strategies must be based on an updated understanding of the chemical nature of the PM, including data with detailed chemical and spatial scale information. Therefore, the current study utilized four urban sites, one urban background site, and one rural site to determine the ambient PM concentrations across Xi'an and examine the tempo-spatial patterns of particle composition to provide insights into the PM sources.

Section snippets

PM sampling

Ambient PM2.5 and PM10 samples were collected simultaneously from six sites in Xi'an, including four urban sites (SS, SF, CZ, and JZ), one urban background site (YZ), and one rural site (CT) (Fig. 1). The details of sampling sites are provided in Table S1 in the Supplemental Information (SI). All sampling sites were close to the corresponding locations of national air quality monitoring stations. Daily concentrations of PM2.5 and PM10 were measured at all sampling sites for 11 consecutive days

PM10 and PM2.5 mass concentrations

As shown in Fig. S1, the PM concentrations measured on Teflon filters and on quartz-fiber filters match well (slopes close to unity and high correlations). However, since quartz-fiber filters tend to adsorb water or shred fibers during sample handling (Tian et al., 2014), concentrations measured on the Teflon filters were used for PM concentrations.

Annual mean concentrations and monthly variations of PM10 and PM2.5 measured at the six sampling sites are shown in Fig. S2. The ensemble average

Conclusions

Although control measures have been implemented in the past decade particularly on coal-fired power plants and motor vehicles, atmospheric particulate pollution remains a serious challenge in Xi'an since annual mean concentrations of PM2.5 and PM10 were 149.4 ± 93.1, 108.0 ± 70.9 μg/m3 during the sampling campaign, respectively (far exceeding the corresponding WHO air quality guidelines). OC is the predominant component of PM2.5 and accounted for 15.4–18.1% at all six sampling sites, while

Acknowledgements

This work was financially supported by the National Key R&D Program of China (Grant No. 2016YFC0208500 (No. 2016YFC0208501)), National Natural Science Foundation of China project (Grant No. 21407081), Tianjin Science and Technology Foundation (16YFZCSF00260), and the Fundamental Research Funds for the Central Universities of China. The authors thank Yahong Wang, Yuehong Hu, Xuejuan Song, Jing Han, Naiwang Yang (staffs at Xi'an Environmental Monitoring Station) for their assistances in the field

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    This paper has been recommended for acceptance by Charles Wong.

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    Now at: Tianjin Environmental Monitoring Center, Tianjin 300191, China.

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