Characterization and sources of winter PM2.5 organic and elemental carbon in the high-altitude region of Qinling Mountains

IF 2.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Chun-Yang Wang, Shun Xiao, Rui-Ting Cai, Wen-Tao Du, Na Mi, Sui-Xin Liu, Jian-Bao Liu
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引用次数: 0

Abstract

This study represents the first investigation into the pollution characteristics and sources of atmospheric carbonaceous aerosols in the high-altitude region of Taibai Mountain in the Qinling Mountains during the winter season. Atmospheric particulate matter (PM2.5) samples were collected from December 2019 to February 2020. The OC/EC ratio, principal component analysis, and backward trajectory analysis were employed to characterize the composition and potential sources of carbonaceous components in PM2.5. The results showed that during the winter sampling period, the average mass concentrations of PM2.5, OC, and EC were 49.20 ± 27.73 μg/m3, 9.88 ± 3.68 μg/m3, and 2.01 ± 1.04 μg/m3, respectively. OC and EC accounted for 20.1% and 4.1% of PM2.5, with an OC/EC ratio ranging from 2.98 to 9.94 and an average of 5.47, indicating a significant contribution from secondary organic carbon (SOC). The average SOC concentration was 3.88 ± 1.65 μg/m3, contributing 42% of OC and 7.9% of PM2.5. Under varying air quality conditions, OC concentrations increased with pollution levels, whereas EC concentrations initially increased and then declined. The temporal variations of OC and EC closely followed those of PM2.5, suggesting relatively stable local emission sources during the sampling period. A combination of PCA, backward trajectory, PSCF, and CWT analyses identified road dust, coal combustion, vehicle emissions, and industrial pollution as the dominant sources of carbonaceous aerosols. The PSCF and CWT results further revealed distinct spatial and seasonal variation in source regions. From December 2019 to January 2020, major contributions originated from the Guanzhong Plain (e.g., Xi’an, Xianyang, Baoji) and southern North China (southern Shanxi, northern Henan), where winter heating-related coal combustion and industrial emissions dominated. By February 2020, the high-contribution regions shifted southwestward to the northern Sichuan Basin and southern Shaanxi, reflecting seasonal changes in atmospheric circulation. The study demonstrates that both long-range transport and local emissions significantly influence wintertime carbonaceous aerosol levels in the high-altitude Qinling Mountains. These findings underscore the importance of incorporating seasonal transport dynamics in formulating cross-regional air pollution control strategies.

秦岭高海拔地区冬季PM2.5有机碳和元素碳特征及来源
本研究首次对秦岭太白山高海拔地区冬季大气碳质气溶胶的污染特征和来源进行了研究。2019年12月至2020年2月采集大气颗粒物(PM2.5)样本。采用OC/EC比值、主成分分析和反向轨迹分析表征PM2.5中碳质组分的组成和潜在来源。结果表明:冬季采样期间,PM2.5、OC和EC的平均质量浓度分别为49.20±27.73 μg/m3、9.88±3.68 μg/m3和2.01±1.04 μg/m3;OC和EC分别占PM2.5的20.1%和4.1%,OC/EC比值在2.98 ~ 9.94之间,平均值为5.47,表明次生有机碳(SOC)对PM2.5的贡献较大。平均有机碳浓度为3.88±1.65 μg/m3,贡献了42%的OC和7.9%的PM2.5。在不同的空气质量条件下,有机碳浓度随着污染水平的增加而增加,而有机碳浓度则先增加后下降。OC和EC的时间变化与PM2.5的变化密切相关,表明在采样期内局地排放源相对稳定。PCA、反向轨迹、PSCF和CWT分析相结合,确定了道路粉尘、煤炭燃烧、车辆排放和工业污染是碳质气溶胶的主要来源。PSCF和CWT结果进一步揭示了源区明显的空间和季节变化。2019年12月至2020年1月,主要贡献来自关中平原(如西安、咸阳、宝鸡)和华北南部(山西南部、河南北部),冬季供暖相关燃煤和工业排放占主导地位。到2020年2月,高贡献区向西南方向转移至四川盆地北部和陕西南部,反映了大气环流的季节变化。研究表明,秦岭高海拔地区冬季大气中碳质气溶胶的远距离输送和局地排放对大气中碳质气溶胶水平均有显著影响。这些发现强调了在制定跨区域空气污染控制战略时纳入季节运输动态的重要性。
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来源期刊
Environmental Earth Sciences
Environmental Earth Sciences 环境科学-地球科学综合
CiteScore
5.10
自引率
3.60%
发文量
494
审稿时长
8.3 months
期刊介绍: Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth: Water and soil contamination caused by waste management and disposal practices Environmental problems associated with transportation by land, air, or water Geological processes that may impact biosystems or humans Man-made or naturally occurring geological or hydrological hazards Environmental problems associated with the recovery of materials from the earth Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials Management of environmental data and information in data banks and information systems Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.
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