摘要
采用稳定碳同位素检测技术,开展乌鲁木齐市PM2.5来源解析。通过采集受体点环境空气PM2.5和重点行业污染源颗粒物样品,用气体同位素比质谱仪测定所采集的颗粒物样品的稳定碳同位素组成(δ^13C),结合IsoSource多元线性混合模型进行来源解析研究。计算分析结果显示,乌鲁木齐市的新疆八一钢铁有限公司排放扬尘对受体点PM2.5贡献率为32.8%,城市扬尘贡献率为26.9%,机动车排放贡献率为24.73%,乌石化排放贡献率为11.03%,电厂排放贡献率为4.5%.
Atmospheric fine particles are the direct cause of the decline in visibility, and are also the primary pollutants of atmospheric smog pollution in China. The research on the source of fine particulate matter in key cities and regions is an important task in the prevention and control of atmospheric pollution in China. In order to analyze the main source of PM2.5 in Urumqi, the carbon isotope particle source analysis technology method was established and used to analyze the source apportionment of PM2.5 in Urumqi. The stable carbon isotope composition (δ^13C) of the collected particulate matter samples was determined by gas isotope ratio mass spectrometry by collecting the ambient air PM2.5 at the acceptor point and the sample of the pollution source of the key industry. The IsoSource multivariate linear mixed model was used for source calculation and analysis. The results show that the recipient point PM2.5 contribution rate from the steel plant9 dust is to 32. 8%, urban dust is to 26.9%, motor vehicles is to 24.73%, petrochemical company is to 11.03%, power plant is to 4.5%.
作者
邓文叶
蔺尾燕
贾尔恒·阿哈提
马俊英
何静
都伟新
DENG Wen-ye;LIN Wei-yan;AHATI Jiae-heng;MA Jun-ying;HE Jing;DU Wei-xin(Xinjiang Key Laboratory for Environmental Pollution Monitoring and Risk Warning, Xinjiang Academy of Environmental Protection Science, Urumqi 830011 , China)
出处
《核电子学与探测技术》
CAS
北大核心
2018年第6期856-860,共5页
Nuclear Electronics & Detection Technology
基金
新疆维吾尔自治区科技厅重点研发项目(2016B03042-1)
新疆维吾尔自治区2017年“天山青年计划”优秀青年科技人才项目(新科政字[2018]88号)
国家地区基金(41465008)资助