韩新宇, 卢秀青, 钟曜谦, 史建武, 张朝能, 宁平. 云南省有色冶炼集中区春季大气颗粒物污染过程分析[J]. 云南大学学报(自然科学版), 2021, 43(1): 90-100. doi: 10.7540/j.ynu.20200130
引用本文: 韩新宇, 卢秀青, 钟曜谦, 史建武, 张朝能, 宁平. 云南省有色冶炼集中区春季大气颗粒物污染过程分析[J]. 云南大学学报(自然科学版), 2021, 43(1): 90-100. doi: 10.7540/j.ynu.20200130
HAN Xin-yu, LU Xiu-qing, ZHONG Yao-qian, SHI Jian-wu, ZHANG Chao-neng, NING Ping. Analysis of an air particulate pollution process in a dense nonferrous smelting area in spring in Yunnan Province[J]. Journal of Yunnan University: Natural Sciences Edition, 2021, 43(1): 90-100. DOI: 10.7540/j.ynu.20200130
Citation: HAN Xin-yu, LU Xiu-qing, ZHONG Yao-qian, SHI Jian-wu, ZHANG Chao-neng, NING Ping. Analysis of an air particulate pollution process in a dense nonferrous smelting area in spring in Yunnan Province[J]. Journal of Yunnan University: Natural Sciences Edition, 2021, 43(1): 90-100. DOI: 10.7540/j.ynu.20200130

云南省有色冶炼集中区春季大气颗粒物污染过程分析

Analysis of an air particulate pollution process in a dense nonferrous smelting area in spring in Yunnan Province

  • 摘要: 为探究云南省有色冶炼集中区春季大气颗粒物污染的原因,于2017年3月20—29日在云南省主要有色冶炼集中区—蒙自市、个旧市和开远市(简称“个开蒙地区”)设立了9个采样点,同步采集大气PM2.5和PM10环境样品. 检测了无机元素、水溶性离子和碳成分等19种化学成分,分析了颗粒物理化特征,并基于EF(富集因子)、后向轨迹模型和PCA-MLR(主成分分析−多元线性回归)模型,阐述了个开蒙地区大气颗粒物的来源. 结果表明:①采样期间,个开蒙地区PM2.5和PM10质量浓度平均值分别为(50.79±20.67) μg/m3和(73.47±33.86) μg/m3,3月24日PM2.5质量浓度超过国家二级标准限值(75 μg/m3);②PM2.5和PM10中Cu、Zn、Ca、Pb、As和Cd等无机元素的EF值范围为10~4 000,受到人为源的显著影响;③气团后向轨迹特征表明,到达个开蒙地区的污染气团主要经过了生物质燃烧火点较为密集的缅甸中部等地区,表明个开蒙地区春季环境空气质量受到了东南亚生物质燃烧传输的影响;④PCA-MLR源解析模型分析表明,采样期间生物质燃烧和有色冶炼活动对个开蒙地区大气颗粒物有重要贡献,其中生物质燃烧贡献率在30%以上,有色冶炼活动(含二次粒子)综合贡献率高于45%.

     

    Abstract: In order to investigate the causes of atmospheric particulate matter pollution in spring in a dense nonferrous smelting area in Yunnan Province, 9 sampling points were set up in Mengzi City, Gejiu City and Kaiyuan City (Ge-Kai-Meng Region), the main dense nonferrous smelting area of Yunnan Province, from March 20th to 29th, 2017, to simultaneously collect PM2.5 and PM10 ambient samples. Nineteen chemical components, such as inorganic elements, water-soluble ions, carbon compositions, were detected. The physical and chemical characteristics of the particles were analyzed. The sources of atmospheric particles in Ge-Kai-Meng Region were described based on enrichment factor (EF), backward trajectory model, and principal component analysis and multivariate linear regression (PCA-MLR). The results showed that: ① During the sampling period, the mass concentration mean values of PM2.5 and PM10 were (50.79±20.67) μg/m3 and (73.47±33.86) μg/m3, and the mass concentration of PM2.5 exceeded standard Ⅱ (75 μg/m3) on March 24th. ② The EF values of Cu, Zn, Ca, Pb, As, Cd, etc. were 10—4000 in PM2.5 and PM10, which were greatly affected by anthropogenic emission sources. ③ The result of backward trajectory model showed that the air masses arriving in Ge-Kai-Meng Region in those polluted days mainly passed through the central part of Myanmar with the dense biomass burning points, which indicated that the emission of biomass burning from Southeast Asia in spring significantly affected the air quality of Ge-Kai-Meng Region. ④ The result of PCA-MLR model showed that biomass combustion and nonferrous smelting activities had important contributions to atmospheric particulate matter during the sampling period in Ge-Kai-Meng Region, among which, the contribution rate of biomass combustion was over 30%, and the composite contribution rate of nonferrous smelting activities was over 45%.

     

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