黄光球, 雷哲. 西安市大气颗粒物PM2.5的输送路径和潜在源分析[J]. 云南大学学报(自然科学版), 2019, 41(6): 1191-1200. doi: 10.7540/j.ynu.20190157
引用本文: 黄光球, 雷哲. 西安市大气颗粒物PM2.5的输送路径和潜在源分析[J]. 云南大学学报(自然科学版), 2019, 41(6): 1191-1200. doi: 10.7540/j.ynu.20190157
HUANG Guang-qiu, LEI Zhe. Transport pathways and potential sources of PM2.5 in Xi'an City[J]. Journal of Yunnan University: Natural Sciences Edition, 2019, 41(6): 1191-1200. DOI: 10.7540/j.ynu.20190157
Citation: HUANG Guang-qiu, LEI Zhe. Transport pathways and potential sources of PM2.5 in Xi'an City[J]. Journal of Yunnan University: Natural Sciences Edition, 2019, 41(6): 1191-1200. DOI: 10.7540/j.ynu.20190157

西安市大气颗粒物PM2.5的输送路径和潜在源分析

Transport pathways and potential sources of PM2.5 in Xi'an City

  • 摘要: 利用2017年西安市气象数据和主要大气污染物质量浓度的监测资料,综合分析西安市2017年度气候变化、大气污染状况以及污染物质量浓度演变特征. 结果表明:西安市年平均风速为2.43 m/s,平均气温为19.00 ℃,总降水量为649 mm,冬春季PM2.5、PM10质量浓度值普遍高于夏秋季. 利用SPSS对污染物与气象因素进行相关性分析,得出颗粒物、气态污染物CO、SO2质量浓度变化与平均气温、降水量、风速呈负相关,而O3与平均气温、降水量、风速呈正相关. 此外,通过拉格朗日混合粒子轨迹模型模拟了西安市48 h的气流后向轨迹,并将PM2.5的质量浓度数据与气团轨迹相结合,利用潜在源贡献函数模型(PSCF)和浓度加权轨迹方法(CWT),分析西安市PM2.5质量浓度影响及潜在源区分布特征,其结果表明超过50%的气流后向轨迹来自西北方向,西安市PM2.5的主要潜在来源位于陕南各城市以及陕南周边省份交界处.

     

    Abstract: Based on the meteorological data and the mass concentration monitoring data of major atmospheric pollutants of Xi'an in 2017, the climate change, air pollution status and temporal and spatial evolution characteristics of pollutant mass concentration in Xi'an City were comprehensively analyzed in this study. The results show that the annual average wind speed in Xi'an is 2.43 m/s, the average temperature is 19.00 °C, and the total precipitation is 649 mm. The mass concentration of PM2.5 and PM10 in winter and spring is generally higher than that in summer and autumn. Using SPSS to analyze the correlation between pollutants and meteorological factors, it is suggested that the changes of concentration of particulate matter and of such gaseous pollutants as CO and SO2 are negatively correlated with average temperature, precipitation and wind speed, while O3 is positively correlated with average temperature, precipitation, and wind speed. In addition, the Lagrange hybrid particle trajectory model is used to simulate the backward trajectory of the airflow in Xi'an for 48 hours. Combining the concentration data of PM2.5 with air mass backward trajectories, a potential source contribution function model (PSCF) and a concentration-weighted trajectory method (CWT) are used to analyze the influence of PM2.5 concentration and potential source area distribution characteristics in Xi'an. The results show that more than 50% of the airflow backward trajectory comes from the Northwest direction, and the main potential sources of PM2.5 of Xi'an are the cities of southern Shaanxi and the border regions of neighboring provinces to southern Shannxi.

     

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