Abstract

The characteristics of air pollutants and greenhouse gases at regional background sites are critical to assessing the impact of anthropogenic emissions on the atmospheric environment, ecosystems and climate change. However, observational studies are still scarce at such background sites. In this study, continuous hourly observations of air pollutants (O-3, CO, SO2, NOx, PM2.5 and PM10) and greenhouse gases (CO2, CH4 and N2O) were performed for one year (from January 1 to December 31, 2017) at the Gongga Mountain background station (GGS; 101 degrees 97'E, 29 degrees 55'N; elevation: 3541 m) in southwestern China. The concentrations and variations of these air pollutants and greenhouse gases were determined, and the effect of transboundary atmospheric transport on the air pollution at the study site was investigated. The results showed that the average annual concentrations (mixing ratios) of the O-3, CO, SO2, NO2, CO2, CH4, N2O, PM2.5 and PM10 were 74.7 +/- 22.0 mu g m(-3), 0.3 +/- 0.2 mg m(-3), 0.5 +/- 0.6 mu g m(-3), 1.7 +/- 1.3 mu g m(-3), 406.1 +/- 9.5 ppm, 1.941 +/- 0.071 ppm, 324.5 +/- 14.8 ppb, 6.5 +/- 6.2 mu g m(-3) and 10.6 +/- 11.2 mu g m(-3), respectively. The concentrations (mixing ratios) of the abovementioned substances at the GGS are comparable to those at other background sites in China and around the world. The slight differences among concentrations at different sites may be mainly attributable to the impacts of anthropogenic emissions near the background sites and meteorological conditions. High values of O-3 were observed in spring and summer, while SO2 and PM2.5 showed higher concentrations in summer than in autumn. Relatively high CO, NO2 and PM10 values were mostly observed in spring and winter. Relatively low CO2 concentrations were observed in summer due to the vigorous summertime photosynthesis of vegetation. The lowest concentrations for CH4 were recorded in summer, whereas the levels in the other three seasons were similar to each other; by contrast, the highest N2O concentrations were observed in summer due to enhanced microbial activity resulting from high ambient summer temperatures. A diurnal variation in O-3 was observed, with early morning minima and afternoon maxima. CO and NO2 displayed higher concentrations in the daytime than in the nighttime. A slight increase in both PM2.5 and PM10 concentrations was also recorded in the daytime. These patterns were closely related to scattered anthropogenic emissions and regional atmospheric transport. Nevertheless, CO2 exhibited lower concentrations in the daytime than in the nighttime, although CH4 showed no obvious diurnal variation. The N2O concentration peaked between 10:00 and 12:00 (local time), which can be ascribed to the enhancement of microbial activity due to the increased soil temperature. The results based on the relationship between the wind and the concentrations of air pollutants and greenhouse gases were almost consistent with those based on the potential contribution source function. It appears that O-3 and its precursors in parts of Inner Mongolia and Gansu, Ningxia, Sichuan, Chongqing and Hubei Provinces as well as adjacent areas of Hunan, Guizhou and Guangxi Provinces contributed to the increase in O-3 at the study site. The potential source areas for CO and SO2 were similar and mainly distributed in India and Pakistan and areas of Inner Mongolia and Gansu and Guizhou Provinces in China. Potential source areas for NO2, PM2.5 and PM10 were found in neighboring countries of South Asia in addition to domestic regions, including Inner Mongolia, Gansu Province and the Cheng-Yu economic region. Furthermore, parts of Yunnan Province (China) as well as India and Pakistan were potential source areas for CO2, CH4 and N2O.

Highlights

  • Increased occurrence levels of air pollutants (ozone (O3), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxides (NOx), particulate matter with a diameter of 2.5 micrometers or less (PM2.5) and particulate matter with a diameter of 10 micrometers or less (PM10)) and greenhouse gases (carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O)) caused by intensified anthropogenic emissions have adversely affected the atmospheric environment, ecosystems, climate change and human health (Orru et al, 2017; Wuebbles et al, 2017)

  • The characteristics of air pollutants and greenhouse gases at regional background sites are critical to assessing the impact of anthropogenic emissions on the atmospheric environment, ecosystems and climate change

  • The results based on the relationship between the wind and the concentrations of air pollutants and greenhouse gases were almost consistent with those based on the potential contribution source function

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Summary

INTRODUCTION

Increased occurrence levels of air pollutants (ozone (O3), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxides (NOx), particulate matter with a diameter of 2.5 micrometers or less (PM2.5) and particulate matter with a diameter of 10 micrometers or less (PM10)) and greenhouse gases (carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O)) caused by intensified anthropogenic emissions have adversely affected the atmospheric environment, ecosystems, climate change and human health (Orru et al, 2017; Wuebbles et al, 2017). Regional background sites are affected by very limited local anthropogenic emissions; the mediumor long-range transport of air pollutants could be the main contributor to local air pollution Given their critical importance, a number of studies on air pollutants and greenhouse gases have been carried out at several regional background sites of the Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD) and Pearl River Delta (PRD) regions in China (Chao et al, 2014; Pu et al, 2015; Wang et al, 2016). The results of these studies reflected the distinctive air pollution characteristics in the abovementioned regions in China and showed significant impacts of human activities on regional air quality. The occurrence levels and temporal variations in these pollutants are discussed in detail, and potential contribution areas of the above substances are identified using the potential source contribution function (PSCF) method

METHODS AND INSTRUMENTS
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