Black Carbon Aerosol in the Industrial City of Xuzhou, China: Temporal Characteristics and Source Appointment
Black Carbon Aerosol in the Industrial City of Xuzhou, China: Temporal Characteristics and Source Appointment
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中国徐州工业城黑碳气溶胶：时间特征和来源确定
DOI：
10.4209/aaqr.2018.07.0245
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发表时间：
2019
影响因子：
4
通讯作者：
Qin Kai
中科院分区：
文献类型：
--
作者：
Chen Wei;Tian Huimin;Qin Kai
城市环境中的黑碳气溶胶可能会影响当地环境、区域气候循环甚至人类健康。2014年5月至2016年7月，在中国中部淮海经济区的经济中心、大型工业城市徐州市进行了为期两年的BC和颗粒物的现场测量。BC、PM1.0、PM2.5和PM10的年均浓度分别为2.44 µg m-3、56.6 µg m-3、61.8 µg m-3和75.8 µg m-3。BC浓度的最高日平均值为11.6 µg m-3，超过10%的每小时BC测量值的浓度高于5 µg m-3。所有的BC和PM浓度显示出两个昼夜高峰（在早上和晚上的高峰时段）和一个谷（在下午）。BC的总体浓度和PM中的BC组分在冬季和春季较高，而PM的总体浓度在冬季和秋季较高。后向轨迹分析表明，徐州BC高浓度大部分与北风和西北风有关，潜在源贡献函数（PSCF）模型证明，中部省份是最有可能的源区。我们的研究结果可以用来制定适当的大气污染控制措施，这些中部省份，提高空气质量预报的准确性。
Black carbon (BC) aerosol in urban environments potentially affects the local environment, the regional climate cycle, and even human health. A two-year field measurement (May 2014 to July 2016) of BC and particulate matter in Xuzhou, a large industrial city and the economic center of Huaihai Economic Zone in central China, was conducted. The average annual concentrations of BC, PM1.0, PM2.5, and PM10 were 2.44 µg m–3, 56.6 µg m–3, 61.8 µg m–3, and 75.8 µg m–3, respectively. The highest daily average for the BC concentrations was 11.6 µg m–3, and more than 10% of the hourly BC measurements had concentrations above 5 µg m–3. All of the BC and PM concentrations displayed two diurnal peaks (during rush hours in the morning and in the evening) and one valley (in the afternoon). The overall BC concentrations, and the BC fractions in the PM were higher in winter and spring, whereas the overall PM concentrations were higher in winter and autumn. The backward trajectory analysis indicated that most of the high BC concentrations in Xuzhou were associated with north and northwest winds, and the potential source contribution function (PSCF) model proved that the provinces of central China were the most likely source regions. Our findings can be used to set appropriate atmospheric pollution control measures for these central provinces and to increase the accuracy of air quality forecasting.
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影响因子：
5
作者：
Song Yang;Baiqing Xu;Junji Cao;C. Zender;Mo Wang
通讯作者：
Song Yang;Baiqing Xu;Junji Cao;C. Zender;Mo Wang
影响因子：
5.5
作者：
K. Qin;Luyao Wang;Lixin Wu;Jian Xu;Lanlan Rao;H. Letu;Shi Tiewei;Runfeng Wang
通讯作者：
K. Qin;Luyao Wang;Lixin Wu;Jian Xu;Lanlan Rao;H. Letu;Shi Tiewei;Runfeng Wang
影响因子：
8.8
作者：
Fengwen Wang;Zhigang Guo;Tian Lin;N. Rose
通讯作者：
Fengwen Wang;Zhigang Guo;Tian Lin;N. Rose
影响因子：
14.6
作者：
Martijn Gough
通讯作者：
Martijn Gough
影响因子：
6.3
作者：
Koch, D.;Del Genio, A. D.
通讯作者：
Del Genio, A. D.