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南京市北郊夏季挥发性有机物的源解析
引用本文:杨辉,朱彬,高晋徽,李用宇,夏丽.南京市北郊夏季挥发性有机物的源解析[J].环境科学,2013,34(12):4519-4528.
作者姓名:杨辉  朱彬  高晋徽  李用宇  夏丽
作者单位:南京信息工程大学气象灾害教育部重点实验室, 南京 210044;南京信息工程大学气象灾害教育部重点实验室, 南京 210044;南京信息工程大学气象灾害教育部重点实验室, 南京 210044;南京信息工程大学气象灾害教育部重点实验室, 南京 210044;南京信息工程大学气象灾害教育部重点实验室, 南京 210044
基金项目:国家自然科学基金项目(41275143); 江苏省高校自然科学研究重大基础研究项目(12KJA170003); 江苏省"333"高层次人才培养工程项目;江苏省"六大人才高峰"计划项目; 江苏省江苏高校优势学科建设工程项目(PAPD); 江苏省普通高校研究生科研创新计划项目(CXLX13_493)
摘    要:2012年8月利用在线气相色谱仪对南京市北郊大气环境中的挥发性有机物(VOCs)进行连续监测,分析VOCs时间变化规律,并利用PMF(positive matrix factorization)受体模型和CPF(conditional probability function)方法对其来源进行解析.结果表明,南京市北郊夏季VOCs日变化呈双峰分布,小时平均体积分数为(33.84±27.77)×10-9,夜间高于昼间.其中含量最高的是烷烃,其次是烯烃和芳烃,分别占到总挥发性有机物(TVOCs)的49.3%、24.4%和18.5%,乙炔占7.8%.南京市北郊夏季VOCs主要来源有5个,分别是交通尾气、燃料挥发、工业排放、有机溶剂挥发和植物排放源,各自对TVOCs贡献为33.1%、25.8%、23.2%、8.1%和9.7%.烷烃主要来源于汽车尾气排放、工业排放和燃料挥发,贡献百分比分别为23.7%、35.3%和31.3%;烯烃主要来源于燃料挥发、工业排放和汽车尾气排放,分别占41.1%、18.4%和24.3%;对芳烃贡献最大的为汽车尾气排放,占到49.2%,其次是有机溶剂挥发排放占30.8%.

关 键 词:挥发性有机物  变化特征  PMF受体模型  条件概率函数  源解析
收稿时间:7/1/2013 12:00:00 AM
修稿时间:2013/8/15 0:00:00

Source Apportionment of VOCs in the Northern Suburb of Nanjing in Summer
YANG Hui,ZHU Bin,GAO Jin-hui,LI Yong-yu and XIA Li.Source Apportionment of VOCs in the Northern Suburb of Nanjing in Summer[J].Chinese Journal of Environmental Science,2013,34(12):4519-4528.
Authors:YANG Hui  ZHU Bin  GAO Jin-hui  LI Yong-yu and XIA Li
Institution:Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China;Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China;Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China;Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China;Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China
Abstract:Hourly concentrations of ambient volatile organic compounds (VOCs) were sampled in August 2012 in the northern suburb of Nanjing. Emissions of VOCs were analyzed by using PMF (positive matrix factorization) and CPF (conditional probability function). The hourly average mixing ratio of the TVOCs in summer was (33.84±27.77)×10-9, with a bimodal diurnal variation trend. 49.3% of the TVOCs were alkanes, 24.4% were alkenes, 18.5% were aromatics and 7.81% were acetylene. Five sources were identified as summer major contributors to ambient VOCs concentrations by PMF. 33.1% of the total VOCs was attributed to vehicle related emissions, 25.8% to fuel evaporation, 23.2% to industrial emissions, 8.1% to solvent evaporation and 9.7% to plant emissions. For alkanes, vehicle emissions, industrial emissions, fuel and solvent evaporation accounted for 23.7%, 35.3%, 31.3% and 2%, respectively. For alkenes, fuel evaporation accounted for 41.1%, industrial emissions for 18.4%, and vehicle emission for 24.3%. Vehicle emission was the major contributor to aromatics, accounting for 49.2%, followed by solvent evaporation, which accounted for 30.8%.
Keywords:volatile organic compounds (VOCs)  variety characteristics  positive matrix factorization (PMF)  conditional probability function (CPF)  source apportionment
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