乌鲁木齐市PM2.5中碳组分污染特征及来源解析OA北大核心CSTPCD
Analysis of carbon component pollution characteristics and sources of PM2.5 in Urumqi City
为研究乌鲁木齐市主要大气污染物PM2.5中的碳组分的浓度、污染特征及来源,于2023年7月3日—12月31日在市区按照监测规范采集PM2.5样品,并按照实验规程进行分析.结果表明:(1)乌鲁木齐市PM2.5的平均浓度为20.1±8.1 μg·m-3,有机碳(OC)和元素碳(EC)的平均浓度分别为:3.2±1.0 μg·m-3和0.6±0.2 μg·m-3,数值上呈现出采暖期大于非采暖期的趋势.(2)各时段OC和EC均呈现出较好的相关性,表明OC和EC具有相似的来源.(3)通过估算得到总碳气溶胶(TCA)浓度均值为7.52±3.66 μg·m-3,占PM2.5浓度比重约为16%;而二次有机碳SOC浓度为2.11±1.43 μg·m-3,且SOC/OC比值为47.47%±12.69%,表明乌鲁木齐市大气中二次有机碳(SOC)占OC的比重接近50%.(4)通过主成分分析得出,PM2.5中碳组分主要来源于燃煤排放和机动车尾气的排放.综合来看,采暖期大气环境污染依然严峻.
To investigate the concentration of PM2.5,pollution characteristics,and sources of carbon components in the urban area of Urumqi from July 3,2023,to December 31,2023,air samples were collected and monitoring and analysis were performed in accordance with experimental procedures.The average concentration of PM2.5 in Urumqi is 20.1±8.1µg·m-3,with average concentrations of OC and EC of 3.2±1.0 and 0.6±0.2µg·m-3,respec-tively,and a trend for higher concentrations during the heating season than the nonheating season.Good correla-tions between OC and EC were observed in various time periods,suggesting a similar source for OC and EC.The estimated average total carbon aerosol concentration is 7.52±3.66µg·m-3,accounting for approximately 16%of the PM2.5 concentration,and the concentration of secondary organic carbon(SOC)is 2.11±1.43µg·m-3,with an SOC/OC ratio of 47.47%±12.69%,indicating that secondary organic carbon(SOC)accounts for nearly 50%of the OC in Urumqi's atmosphere.Principal component analysis revealed that the main sources of carbon compo-nents in PM2.5 are coal combustion emissions and vehicular exhaust.Overall,severe atmospheric pollution per-sists during the heating season.
魏疆;宋丹丹;赵丽莉;赵彩欣;王凌羲
新疆财经大学公共管理学院,新疆 乌鲁木齐 830012新疆财经大学旅游学院,新疆 乌鲁木齐 830012新疆乌鲁木齐市生态环境监测中心站,新疆 乌鲁木齐 830000新疆乌鲁木齐城市生态系统国家定位观测研究站,新疆 乌鲁木齐 830000
大气污染有机碳元素碳源解析乌鲁木齐市
atmospheric pollutionorganic carbonelemental carbonsource apportionmentUrumqi City
《干旱区研究》 2024 (008)
1323-1330 / 8
新疆财经大学高层次人才专项(博士启动基金)项目(2022XGC013)
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