中文关键词大气污染物季度变化时空演变拉格朗日混合单粒子轨道模型(HYSPLIT)潜在源区石家庄 英文关键词atmospheric pollutantseasonal variationspatio-temporal evolutionhybrid single particle Lagrangian integrated trajectory(HYSPLIT)potential source areasShijiazhuang

作者	单位	E-mail
聂赛赛	河北科技大学环境科学与工程学院, 石家庄 050018	Saisai10282020@163.com
王帅	河北科技大学环境科学与工程学院, 石家庄 050018
崔建升	河北科技大学环境科学与工程学院, 石家庄 050018	cui1603@163.com
刘大喜	河北科技大学环境科学与工程学院, 石家庄 050018
陈静	石家庄市气象局, 石家庄 050081
田亮	河北科技大学环境科学与工程学院, 石家庄 050018
贺博文	河北科技大学环境科学与工程学院, 石家庄 050018
沈梦宇	石家庄市气象局, 石家庄 050081

中文摘要 为系统研究石家庄市季节性典型污染物的重污染传输特征，基于2018年12月~2019年11月46个环境监测站（PM_2.5、PM₁₀、O₃、NO₂、SO₂和CO）及17个气象站（温度、湿度和风速）的小时监测数据，利用插值（IDW）和相关方法，分析污染物的季节性时空特征；并结合GDAS数据，采用后向轨迹方法，研究污染物的季度传输格局和潜在源区.结果表明：①不同季节具有典型的污染物，季节性典型污染物和污染率依次为：春季（PM₁₀，48.91%）、夏季（O₃，81.97%）、秋季（PM₁₀和PM_2.5，47.54%和32.79%）和冬季（PM_2.5，74.44%），其与气象条件变化有显著联系；②春季PM₁₀与风速呈负相关，呈西北高、东南低的空间格局，主要传输方向为南向（53.32%），潜在源区（WPCWT_ij≥160 μg ·m^-3）为河北（冀）中南、河南（豫）中北及山西（晋）中部，且山东（鲁）西和陕西（陕）西北部的传输也会贡献（WPSCF_ij≥0.3）市域的PM₁₀浓度；③夏季O₃与温度呈正相关，与湿度呈负相关，传输通道方向为东南-南向（54.24%），其潜在源区呈以石家庄市为中心，沧州和菏泽为两翼的新月形区域；④秋季和冬季PM_2.5与湿度呈正相关，冬季呈西低、东高态势分布，输送方向为：秋季（东北-东南，74.75%），冬季（西北，55.47%），主要污染源区（WPCWT_ij≥180 μg ·m^-3）集中在冀中南、豫北和晋中西部. 英文摘要 In order to systematically study the transmission characteristics of seasonal and typical pollutants in Shijiazhuang, hourly data of ground-level pollutants(PM_2.5, PM₁₀, O₃, NO₂, SO₂, 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(PM₁₀, 48.91%), summer(O₃, 81.97%), autumn(PM₁₀ and PM_2.5, 47.54% and 32.79%), and winter(PM_2.5, 74.44%), which are related to the variation of meteorological conditions. Furthermore, the PM₁₀(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_ij ≥ 160 μg·m^-3), impacting western Shandong and northwest Shanxi(WPSCF_ij ≥ 0.3) with PM₁₀. Moreover, the O₃(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 O₃ pollution is an arc area with Shijiazhuang in the center and Cangzhou and Heze as the double wings. Lastly, the PM_2.5(autumn and winter) concentration correlated positively with humidity, and the winter concentration shows an increasing gradient from west to east. The trajectories of PM_2.5 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_ij ≥ 180 μg·m^-3).

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