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The concentration characteristics and sources of black carbon at the atmospheric background station, Akedala |
XIE Xiang1, ZHAO Zhu-jun2,3, LU Zhong-qi2,3,4, TAO Rui1, CAI Hai-yang1 |
1. Akedala Atmospheric Background Station, Altay 836500, China; 2. College of Resources & Environment Sciences, Xinjiang University, Urumqi 830046, China; 3. Institute of Desert Meteorology, China Meteorological Administration/National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang/Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration/Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China; 4. School of Chemistry and Chemical Engineering, Changji University, Changji 831100, China |
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Abstract In this paper, the concentration features and potential sources of black carbon aerosols (BC) at different time scales at Akedala Atmospheric Background Station were studied by utilizing the hourly mass concentration data of BC at Akedala station from 2011 to 2017 and the meteorological data during the same period. Moreover, the backward-trajectory cluster analysis method, the potential source contribution function (PSCF) method as well as the concentration-weight trajectory analysis (CWT) method were also applied. The results show that BC at Akedala Station presented a fluctuating decreasing trend from 2011 to 2017 with a high level of BC cleanliness. The seasonal variation of BC concentration was characterized as high in spring and winter, and low in summer and autumn with a trend of spring (398.85±189.35ng/m3)> winter (389.89±105.94ng/m3) > summer (272.07±90.07ng/m3)> autumn (269.52±68.07ng/m3). Natural factors were the main causes of BC concentration variation. Moreover, the daily variation of BC concentration was characterized as low in the daytime and high in the nighttime, basically showing a single-peaked distribution. The potential sources of BC at Akedala Station varied significantly with the seasons. According to the analyses by employing the backward-trajectory clustering analysis method, WPSCF as well as WCWT, the potential sources of BC in spring concentrated in the northern foot of the Altai Mountain at the border between southern Russia and Xinjiang, those in autumn were in the economic zone of northern Xinjiang, and BC in winter was influenced mainly by foreign emission sources. Therefore, control of BC pollution requires regional environmental cooperation to achieve joint prevention and control, especially to strengthen the monitoring on cross-border pollution sources.
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Received: 13 May 2022
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