Nie Sai-Sai, Wang Shuai, Cui Jian-Sheng, Liu Da-Xi, Chen Jing, Tian Liang, He Bo-Wen, Shen Meng-Yu
School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Shijiazhuang Meteorological Bureau, Shijiazhuang 050081, China.
Huan Jing Ke Xue. 2021 Nov 8;42(11):5131-5142. doi: 10.13227/j.hjkx.202102120.
In order to systematically study the transmission characteristics of seasonal and typical pollutants in Shijiazhuang, hourly data of ground-level pollutants(PM, PM, O, NO, SO, and CO) from 46 state-and provincial-controlled stations, and meteorological(temperature, humidity, and wind speed) data from 17 counties in Shijiazhuang City from December 2018 to November 2019 was analyzed. The interpolation(IDW) and correlation analysis were applied to seasonal and temporal spatial patterns of pollutant concentration. The backward trajectories analysis was performed to explore the seasonal transmission pattern and potential source areas of pollution in Shijiazhuang by combining with the global data assimilation system(GDAS). The results indicate that the different seasons have characteristic pollutants, as follows:spring(PM, 48.91%), summer(O, 81.97%), autumn(PM and PM, 47.54% and 32.79%), and winter(PM, 74.44%), which are related to the variation of meteorological conditions. Furthermore, the PM(spring) concentration correlated negatively with the wind speed, presenting a high distribution in the northwest and low in the southeast, with a southerly transmission direction(53.32%). Central and southern Hebei, central and northern Henan, and central Shanxi are the potential sources of pollution(WPCWT ≥ 160 μg·m), impacting western Shandong and northwest Shanxi(WPSCF ≥ 0.3) with PM. Moreover, the O(summer) concentration correlated positively with temperature, and negatively with humidity. The southeast-south(54.24%) is the source direction of the transmission, and the potential source of O pollution is an arc area with Shijiazhuang in the center and Cangzhou and Heze as the double wings. Lastly, the PM(autumn and winter) concentration correlated positively with humidity, and the winter concentration shows an increasing gradient from west to east. The trajectories of PM clustered the source directions:autumn(northeast-southeast, 74.75%), winter(northwest, 55.47%); central and southern Hebei, central and western Shanxi and northern Henan are the concentrated sources of potential pollution(WPCWT ≥ 180 μg·m).
为系统研究石家庄市季节性和典型污染物的传输特征,分析了2018年12月至2019年11月石家庄市46个国家和省级控制站点的地面污染物(PM、PM、O、NO、SO和CO)小时数据,以及石家庄市17个县的气象(温度、湿度和风速)数据。采用反距离权重法(IDW)和相关性分析研究污染物浓度的季节和时空分布格局。结合全球数据同化系统(GDAS)进行后向轨迹分析,探究石家庄市污染物的季节传输模式和潜在源区。结果表明,不同季节具有特征污染物,具体如下:春季(PM,48.91%)、夏季(O,81.97%)、秋季(PM和PM,47.54%和32.79%)、冬季(PM,74.44%),这与气象条件变化有关。此外,春季PM浓度与风速呈负相关,在西北高东南低,传输方向为南风(53.32%)。河北中南部、河南中北部和山西中部是潜在污染源(加权轨迹浓度权重法(WPCWT)≥160 μg·m),对山东西部和山西西北部有影响(加权潜在源贡献分数法(WPSCF)≥0.3)。夏季O浓度与温度呈正相关,与湿度呈负相关。东南偏南方向(54.24%)是传输源方向,O污染的潜在源是以石家庄为中心、沧州和菏泽为两翼的弧形区域。最后,秋季和冬季PM浓度与湿度呈正相关,冬季浓度自西向东呈递增梯度。PM轨迹聚类的源方向为:秋季(东北 - 东南,74.75%)、冬季(西北,55.47%);河北中南部、山西中西部和河南北部是潜在污染的集中源(WPCWT≥180 μg·m)。