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上海地区冬季住宅室内外颗粒物浓度的相关性
引用本文:高军,房艳兵,江畅兴,徐斌,宋天珩,曹昌盛.上海地区冬季住宅室内外颗粒物浓度的相关性[J].土木与环境工程学报,2014,36(2):110-114.
作者姓名:高军  房艳兵  江畅兴  徐斌  宋天珩  曹昌盛
作者单位:[1]同济大学机械与能源工程学院,上海201804 [2]上海市杨浦区环境监测站,上海200093 [3]同济大学环境科学与工程学院,上海201804
基金项目:上海市科委青年科技启明星计划(11QA1406800)
摘    要:对上海市某住宅建筑室内外PM10、PM2.5、PM1的浓度进行了测量,研究了最小通风量(外门窗关闭)条件下3种天气时颗粒浓度随时间变化的规律以及相关性,分析了颗粒物浓度与环境温湿度参数之间的关系.研究结果显示,测试期间,室内外空气中细颗粒(PM 2.5)占可吸入颗粒(PM 10)浓度比例分别达65%和87%以上;无明显室内源时,I/O比值小于1且随粒径减小而减小;室内外颗粒浓度相关性与粒径大小有关系,PM1、PM2.5的浓度相关性大于PM10.研究还表明,颗粒物浓度的关联性与天气状况有关系,多云、雨天和阴天时浓度关联性有显著差别;颗粒物的浓度受到室内外温湿度的影响,且受天气状况影响而呈现复杂性.

关 键 词:住宅建筑  空气污染  颗粒物  温湿度  相关性
收稿时间:2013/5/27 0:00:00

Relationship between Indoor and Outdoor Particulate Matter Concentrations in a Residential Building in Winter of Shanghai
Gao Jun,Fang Yanbing,Jiang Changxing,Xu Bin,Song Tianheng and Cao Changsheng.Relationship between Indoor and Outdoor Particulate Matter Concentrations in a Residential Building in Winter of Shanghai[J].Journal of Civil and Environmental Engineering,2014,36(2):110-114.
Authors:Gao Jun  Fang Yanbing  Jiang Changxing  Xu Bin  Song Tianheng and Cao Changsheng
Affiliation:Gao Jun , Fang Yanbing , Jiang Chengxing , Xu Bin , Song Tianheng , Coo Changsheng (la. School of Mechanical Engineering; College of Environmental Science and Engineering, Tongji University, Shanghai 201804, P. R. China; 2. Environmental Monitoring Station, Yangpu District, Shanghai 200093, P. R. China)
Abstract:In this study, the concentrations of PM10, PM2.5 and PM1 in a residential building in Shanghai were measured under minimum ventilation rate (external doors and windows closed), and the relationship between the indoor and outdoor PM concentrations (I/O ratio) and the influence of temperature and relative humidity were analyzed as well. Results showed that, the percentages of the concentrations of fine particles (PM2.5) of the indoor and outdoor air were 65% and 87% of the inhalable particulate(PM10)concentration during the test respectively. The I/O ratio was less than 1 without significant indoor sources. Meanwhile, the figure decreased as the size of particles decreased. Results also indicated that, the correlation between indoor and outdoor PM concentrations, PM1 and PM2.5 were more obvious than PM10, and the correlations showed obvious differences according to the weather conditions. The PM concentration was influenced by t weather conditi emperature and relative humidity, which ons. was presented to be complex when affected by
Keywords:residential building  air pollution  particulate matter  temperature and relative humidity  corre-lation
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