Wang Si, Yu Shaocai, Yan Renchang, Zhang Qingyu, Li Pengfei, Wang Liqiang, Liu Weiping, Zheng Xianjue
a Research Center for Air Pollution and Health , Zhejiang University , Hangzhou , Zhejiang , People's Republic of China.
b Key Laboratory of Environmental Remediation and Ecological Health, Ministry of Education, College of Environmental and Resource Sciences , Zhejiang University , Hangzhou , Zhejiang , People's Republic of China.
J Air Waste Manag Assoc. 2017 Jul;67(7):739-753. doi: 10.1080/10962247.2016.1240724.
To identify the characteristics of air pollutants and factors attributing to the formation of haze in Wuhan, this study analyzed the hourly observations of air pollutants (PM, PM, NO, SO, O, and CO) from March 1, 2013, to February 28, 2014, and used hybrid receptor models for a case study. The results showed that the annual average concentrations for PM, PM, NO, SO, O, and CO during the whole period were 89.6 μg m, 134.9 μg m, 54.9 μg m, 32.4 μg m, 62.3 μg m, and 1.1 mg m, respectively. The monthly variations revealed that the peak values of PM, PM, NO, SO, and CO occurred in December because of increased local emissions and severe weather conditions, while the lowest values occurred in July mainly due to larger precipitation. The maximum O concentrations occurred in warm seasons from May to August, which may be partly due to the high temperature and solar radiation. Diurnal analysis showed that hourly PM, PM, NO, and CO concentrations had two ascending stages accompanying by the two traffic peaks. However, the O concentration variations were different with the highest concentration in the afternoon. A case study utilizing hybrid receptor models showed the significant impact of regional transport on the haze formation in Wuhan and revealed that the mainly potential polluted sources were located in the north and south of Wuhan, such as Baoding and Handan in Hebei province, and Changsha in Hunan province.
Wuhan city requires a 5% reduction of the annual mean of PM concentration by the end of 2017. In order to accomplish this goal, Wuhan has adopted some measures to improve its air quality. This work has determined the main pollution sources that affect the formation of haze in Wuhan by transport. We showed that apart from the local emissions, north and south of Wuhan were the potential sources contributing to the high PM concentrations in Wuhan, such as Baoding and Handan in Hebei province, Zhumadian and Jiaozuo in Henan province, and Changsha and Zhuzhou in Hunan province.
为识别武汉空气污染物的特征以及导致雾霾形成的因素，本研究分析了2013年3月1日至2014年2月28日期间空气污染物（PM、PM、NO、SO、O和CO）的小时观测数据，并采用混合受体模型进行了案例研究。结果表明，整个期间PM、PM、NO、SO、O和CO的年平均浓度分别为89.6μg/m、134.9μg/m、54.9μg/m、32.4μg/m、62.3μg/m和1.1mg/m。月度变化显示，PM、PM、NO、SO和CO的峰值出现在12月，这是由于当地排放增加和恶劣天气条件所致，而最低值出现在7月，主要是由于降水量较大。O的最高浓度出现在5月至8月的温暖季节，这可能部分归因于高温和太阳辐射。日变化分析表明，PM、PM、NO和CO的小时浓度伴随着两个交通高峰有两个上升阶段。然而，O浓度变化不同，最高浓度出现在下午。利用混合受体模型进行的案例研究表明，区域传输对武汉雾霾形成有显著影响，并揭示主要潜在污染源位于武汉的北部和南部，如河北省的保定和邯郸以及湖南省的长沙。
武汉市要求到2017年底将PM浓度年均值降低5%。为实现这一目标，武汉已采取了一些措施来改善空气质量。这项工作确定了通过传输影响武汉雾霾形成的主要污染源。我们表明，除了当地排放外，武汉的北部和南部是导致武汉PM浓度升高的潜在来源，如河北省的保定和邯郸、河南省的驻马店和焦作以及湖南省的长沙和株洲。
