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银川市冬季PM2.5重污染特征、来源与成因分析
引用本文:李慧,张敬巧,王涵,张萌,张玉龙,王平,王淑兰.银川市冬季PM2.5重污染特征、来源与成因分析[J].环境科学研究,2020,33(2):289-295.
作者姓名:李慧  张敬巧  王涵  张萌  张玉龙  王平  王淑兰
作者单位:1.中国环境科学研究院, 北京 100012
基金项目:宁夏回族自治区科技惠民计划专项(No.2016KJHM27);宁夏回族自治区环境保护科学技术研究项目(No.2016-001)
摘    要:近年来银川市冬季重污染过程频发,为明确银川市冬季PM2.5重污染的特征,分析其主要来源及成因,于2016年12月-2017年1月在银川市选取3个采样点开展PM2.5的样品采集与化学组分分析,利用CMB(化学质量平衡)模型对银川市冬季PM2.5进行来源解析,对比分析了重污染日与非重污染日污染特征的差异.结果表明:①银川市冬季重污染日ρ(PM2.5)(181±33.6)μg/m3]是非重污染日的2.1倍;重污染日和非重污染日的ρ(NO3-)/ρ(SO42-)均小于1,表明燃煤仍是银川市冬季PM2.5的重要来源.银川市冬季PM2.5中ρ(SOC)为(14.4±7.34)μg/m3,约占ρ(OC)的65.2%.②与非重污染日相比,重污染日人为源无机元素As、Pb、Cd和Zn质量浓度在ρ(PM2.5)中的占比分别升高33.2%、18.4%、9.8%和2.9%,表明银川市冬季重污染主要受人为源贡献影响.③源解析结果表明,燃煤源、机动车尾气源、二次离子源和扬尘源是银川市PM2.5的主要污染源,与非重污染日相比,重污染日机动车尾气源的贡献率明显降低.研究显示,银川市冬季重污染受人为源污染物排放的影响较大,燃煤源是银川市冬季PM2.5的重要来源. 

关 键 词:西北地区    PM2.5    CMB    来源解析
收稿时间:2019/1/28 0:00:00
修稿时间:2019/9/20 0:00:00

Pollution Characteristics and Source Analysis of PM2.5 in Yinchuan City during Winter
LI Hui,ZHANG Jingqiao,WANG Han,ZHANG Meng,ZHANG Yulong,WANG Ping,WANG Shulan.Pollution Characteristics and Source Analysis of PM2.5 in Yinchuan City during Winter[J].Research of Environmental Sciences,2020,33(2):289-295.
Authors:LI Hui  ZHANG Jingqiao  WANG Han  ZHANG Meng  ZHANG Yulong  WANG Ping  WANG Shulan
Affiliation:1.Chinese Research Academy of Environmental Sciences, Beijing 100012, China2.Ningxia Environmental Monitoring Centre, Yinchuan 750011, China
Abstract:In order to clarify the pollution characteristics and source of PM2.5 in Yinchuan City in winter, PM2.5 samples were collected at 3 sites in Yinchuan City from December 2016 to January 2017, and 9 kinds of water-soluble ions, organic carbon/element carbon (OC/EC) and 27 inorganic elements in PM2.5 were analyzed. The chemical mass balance model (CMB) was used for the source apportionment of PM2.5, and the differences of the pollution characteristics between heavy and non-heavy pollution periods were compared. The results showed that:(1) The ρ(PM2.5) in heavy pollution days was (181±33.6)μg/m3, which was 2.1 times higher than those of non-heavy pollution days. The ratios of ρ(NO3-)/ρ(SO42-) in both heavy pollution days and non-heavy pollution days were lower than 1. The concentration of SOC was (14.4±7.34)μg/m3, accounting for 65.2% of ρ(OC). (2) Compared with those of non-heavy pollution days, the proportion of anthropogenic inorganic elements As, Pb, Cd and Zn to PM2.5 in heavy pollution days increased by 33.2%, 18.4%, 9.8% and 2.9%, respectively, indicating that the PM2.5 concentration was significantly affected by anthropogenic sources in heavy pollution. (3) The results of source apportionment showed that coal burning source, vehicle exhaust source, secondary ion source and dust source were the main pollution sources of PM2.5 in Yinchuan City, and the contribution of vehicle exhaust source in heavy pollution days was obviously reduced during the heavy pollution periods. The study showed that the PM2.5 concentration was significantly affected by the discharge of anthropogenic pollutants in the heavy pollution and coal burning source is the most important pollution source of PM2.5 in winter in Yinchuan City. 
Keywords:northwestern district  PM2  5  CMB  source apportionment
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