兰州市某城区住宅室内空气颗粒物污染现状及影响因素  

Indoor particulate matter pollution and its influencing factors in a residential area of Lanzhou City

作　　者：李盛 樊琳 王先良[3] 吴允萍 许军 李昕蓉 王金玉[4] LI Sheng;FAN Lin;WANG Xianliang;WU Yunping;XU Jun;LI Xinrong;WANG Jinyu(Department of Public Health,Lanzhou First People's Hospital,Lanzhou,Gansu 730050,China;The Second Clinical Medical College of Gansu University of Chinese Medicine,Lanzhou,Gansu 730000,China;National Institute of Environmental Health,China CDC,Beijing 100021,China;School of Basic Medicine,Lanzhou University,Lanzhou,Gansu 730000,China)

机构地区：[1]兰州市第一人民医院公共卫生科,甘肃兰州730050 [2]甘肃中医药大学第二临床医学院,甘肃兰州730000 [3]中国疾病预防控制中心环境与健康相关产品安全所,北京100021 [4]兰州大学基础医学院,甘肃兰州730000

出　　处：《环境与职业医学》2021年第7期747-751,共5页Journal of Environmental and Occupational Medicine

基　　金：国家自然科学基金(21976169);甘肃省科技计划资助(20CX9FA134);兰州市人才创新创业项目(2020-RC-42)。

摘　　要：[背景]住宅室内空气污染与人体健康密切相关,颗粒物是重要的室内污染物之一。[目的]了解兰州市某城区住宅室内颗粒物污染情况及影响因素。[方法]于2020年9月(非采暖季)和11月(采暖季),收集兰州市某城区大气环境监测数据,在该区大气污染最严重的监测站点所在区域3 km以内的范围随机选择1所小学,在该小学二年级通过问卷筛查选择30名小学生,以其家庭作为监测住宅,每户住宅分别选择客厅和一个卧室为采样点进行室内PM_(2.5)、PM_(10)、温度和相对湿度检测,同时问卷调查住宅特征。超标率比较采用χ^(2)检验;中位数的差异分析采用Mann-Whitney U检验;不同季节室内颗粒物超标的住宅特征影响因素采用多因素logistic回归分析;不同季节住宅室内温度、相对湿度与颗粒物浓度的相关性,不同季节住宅室内外颗粒物浓度的相关性采用Spearman等级相关分析。[结果]30户住宅室内PM_(2.5)、PM_(10)质量浓度(后称浓度)中位数分别为128.90、155.40μg·m^(-3),超标率分别为79.2%、50.8%;PM_(2.5)、PM_(10)浓度采暖季高于非采暖季(Z=-6.716,-6.550;P<0.05),超标率采暖季高于非采暖季(χ^(2)=19.943,29.037;P<0.05)。室内温度、相对湿度的中位数分别为22℃、43%,超标率分别为5.8%、12.5%,相对湿度超标率采暖季高于非采暖季(χ^(2)=9.219,P<0.05)。非采暖季,拖地或吸尘的频率<1次·d^(-1)是PM_(10)超标的危险因素,OR(95%CI)值为10.248(1.747~60.107);开窗通风频率<2次·d^(-1)对PM_(2.5)、PM_(10)均有影响,OR(95%CI)值分别为5.196(1.413~19.110)、12.079(1.845~79.097)。非采暖季,室内温度、相对湿度与PM_(2.5)(r=-0.771,-0.672;P<0.05)、PM_(10)浓度均呈负相关(r=-0.664,-0.632;P<0.05)。住宅室外空气中PM_(2.5)、PM_(10)浓度采暖季(81.00、144.00μg·m^(-3))高于非采暖季(18.00、38.00μg·m^(-3))(Z=-9.141,-9.136;P<0.05)。非采暖季,室内外PM_(10)浓度呈弱正相关(r=0.294,P<0.05);在采暖季,�[Background]Indoor air pollution is closely related to human health,and particulate matter is one of the important indoor pollutants.[Objective]This study investigates the indoor particulate matter pollution level and its influencing factors in residential buildings in an urban area of Lanzhou.[Methods]In September(non-heating season)and November(heating season)of 2020,the air monitoring data in an urban area of Lanzhou City were collected.A primary school was randomly selected within 3 km of a monitoring station with the most serious air pollution.A total of 30 students in grade 2 in the school were selected through questionnaire survey,and their families were selected as monitoring sites.Indoor PM_(2.5),PM_(10),temperature,and relative humidity were detected in a living room and a bedroom in each of the 30households.The residential characteristics were investigated by questionnaires.Chi-square test was used to analyze unqualified rates.Mann-Whitney U test was used for median comparison.Multiple logistic regression analysis was used to evaluate selected influencing factors of the levels of indoor particulate matter in different seasons.Spearman rank correlation was used to analyze the season-specific correlations of indoor temperature and relative humidity with particulate matter level,as well as the season-specific correlations between indoor and outdoor particulate matter levels.[Results]The median concentrations of indoor PM_(2.5) and PM_(10) were 128.90μg·m^(-3) and 155.40μg·m^(-3),and the unqualified rates were79.2%and 50.8%,respectively,in the selected 30 households.The median concentrations of indoor PM_(2.5) and PM_(10) were higher in heating season than those in non-heating season(Z=-6.716,-6.550,P<0.05),and so were the unqualified rates(χ^(2)=19.943,29.037,P<0.05).The median indoor temperature and relative humidity were 22℃and 43%,and the unqualified rates were 5.8%and 12.5%,respectively.The unqualified rate of relative humidity was higher in heating season than in non-heating season(χ^(2)=9.21

关 键 词：住宅室内空气质量 颗粒物 温度 相对湿度 住宅特征 

分 类 号：R12[医药卫生—环境卫生学]