• 王帅,冯亚平,崔建升,陈静,姚波,刘大喜.石家庄市臭氧污染的时空演变格局和潜在源区[J].环境科学学报,2020,40(9):3081-3092

  • 石家庄市臭氧污染的时空演变格局和潜在源区
  • Spatio-temporal evolution patterns and potential source areas of ozone pollution in Shijiazhuang
  • 基金项目:河北省自然科学基金(No.B2019208413);河北省重点研发计划项目(No.18273705D)
  • 作者
  • 单位
  • 王帅
  • 河北科技大学环境科学与工程学院, 石家庄 050018
  • 冯亚平
  • 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
  • 陈静
  • 石家庄市气象局, 石家庄 050081
  • 姚波
  • 河北科技大学环境科学与工程学院, 石家庄 050018
  • 刘大喜
  • 河北科技大学环境科学与工程学院, 石家庄 050018
  • 摘要:基于石家庄市46个国控、省控环境自动监测站在2019年4—10月的大气O3-8 h和O3-1 h浓度数据,在对其进行反距离加权插值(IDW)的基础上,分析了石家庄市域5—9月O3浓度月度和时域空间演变格局,并结合全球资料同化系统(GDAS)气象资料和大气污染物数据(PM2.5、NO2、PM10、SO2及CO),进行了空间自相关和后向轨迹分析,探讨了石家庄市O3污染的空间积聚特征和潜在源区分布.结果表明:①石家庄市域大气O3稳定程度较低,5—9月变动呈以6月为峰值的单峰型态势,时域变化呈以15:00—16:00为峰值的单峰型趋势;②5—9月O3浓度为207~260 μg·m-3,呈中西部高、外围区域低的空间格局;O3质量浓度在0:00—6:00呈西北至东南向降幅逐渐增加的趋势,在6:00—12:00和12:00—15:00的变动过程中O3浓度呈东南至西北向梯度交替递增的态势,即前一过程O3浓度增长强度高的区域在后一过程变弱,其中长安区、井陉县和新华区O3污染较严重;③O3污染浓度全域有较强的空间积聚特征(p<0.05),局部积聚特征出现在市域中部、东部和东南部(p<0.05),与O3后向轨迹聚类结果的东-东南向污染轨迹占比一致;④O3污染潜在源区主要集中于600 km的空间内,权重浓度贡献较大的区域处于200 km的范围,河北中南部、河南中北部、山东西部和山西中部是潜在污染源区的集中范围,对石家庄市O3污染贡献较大.
  • Abstract:Based on the surface O3-8 h and O3-1 h concentration data from 46 state-controlled and provincial-controlled environmental monitoring stations in Shijiazhuang City from April to October 2019, the inverse distance weighted (IDW) interpolation has been applied to analyze the monthly and temporal spatial evolution pattern of ozone concentration from May to September in Shijiazhuang. As well as the spatial autocorrelation and backward trajectories analysis were performed to explore the spatial agglomeration characteristics and potential source areas distribution of ozone pollutant in Shijiazhuang by combining with global data assimilation system (GDAS) meteorological and ground-level pollutant data (PM2.5, NO2, PM10, SO2 and CO). The results indicate that the surface ozone stability in Shijiazhuang City is low. The monthly variations from May to September show a unimodal type trend with a peak in June, and the diurnal variations show a unimodal trend with a peak of 15:00-16:00. Furthermore, from May to September, the ozone concentration range is 207 to 260 μg·m-3, presenting a spatial pattern of high in the midwest and low in the peripheral areas. The mass concentration of ozone shows an increase in descent rate from northwest to southeast from 0:00 to 6:00, however during the changes from 6:00 to 12:00 and 12:00 to 15:00, the ozone concentration shows a trend of increasing gradient from southeast to northwest. In other words, the area with high growth intensity of ozone concentration in the previous process become weaker in the latter process. Hence, the ozone pollution is more serious in Chang'an District, Jingxing County, and Xinhua District. Moreover, ozone concentration has strong spatial agglomeration characteristics in the whole region (p<0.05), and local agglomeration characteristics appear in the central, eastern, and southeastern areas of the city (p<0.05), which is consistent with the proportion of east-southbound pollution trajectories clustered by ozone backward trajectory. At last, the potential source of ozone pollution is mainly concentrated in a space of 600 km, and the potential source areas with a larger weight concentration contribution is within the range of 200 km. Central and southern Hebei, central and northern Henan, western Shandong and central Shanxi are the concentrated areas of potential pollution sources, which have great impact on ozone pollution in Shijiazhuang.

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