【摘要】 目的 了解兰州市典型功能区住宅室内空气颗粒物水平及影响因素,为改善室内空气质量提供依据。方法 于2020年采暖期和非采暖期,选择兰州市商业区和工业区各30户住宅进行PM_2.5、PM₁₀、温度和相对湿度检测,同时采用问卷调查了解住宅特征。结果 商业区住宅室内空气PM_2.5、PM₁₀、温度和相对湿度中位数分别为128.9μg/m³、155.4μg/m³、22℃和43%,工业区分别为141.1μg/m³、160.4μg/m³、21℃和51%,不同功能区住宅室内空气PM_2.5、PM₁₀、温度和相对湿度中位数差异均无统计学意义（P>0.05）。与非采暖期比较,商业区、工业区采暖期的室内PM_2.5、PM₁₀均较高（Z值分别为-6.716,-6.550,-6.430,-6.462,均P<0.05）,温度、相对湿度均较低（Z值分别为-2.691,-7.577,-5.831,-8.603,均P<0.05）。logistic回归分析结果显示,非采暖期时,拖地或吸尘频率<1次/d、开窗通风频率<2次/d是影响PM_2.5、PM₁₀水平的危险因素。Spearman相关分析结果显示,非采暖期的室内温度、相对湿度与PM_2.5、PM₁₀浓度均呈负相关（P<0.05）。结论 本次调查的典型功能区住宅室内存在颗粒物污染,以采暖期相对严重。温度、相对湿度、吸尘和开窗通风频率对室内颗粒物水平有影响。更多还原

【Abstract】 Objective To understand the levels of indoor particulate matters and influencing factors in functional areas of a city,and to provide scientific basis for improving indoor air quality.Methods The indoor air quality of 30 residential buildings was detected in business area and industrial area of a city in heating season and non-heating season of 2020.The detection indexes included PM_2.5,PM₁₀,temperature and relative humidity.The residential characteristics were investigated by questionnaire.Results The medians of PM_2.5 concentration,PM₁₀ concentration,temperature and relative humidity were 128.9μg/m³,155.4 μg/m³,22 ℃ and 43% in business area,respectively;while were 141.1 μg/m³,160.4 μg/m³,21℃ and 51%,in industrial area,respectively.There were no significant differences in median levels of the above 4 indexes between the two functional areas.Compared with non-heating season,the levels of PM_2.5 concentration and PM₁₀ concentration of heating season were all higher in both business area and industrial area（Z values:-6.716,-6.550,-6.430,-6.462,P<0.05）;while were lower for temperature and relative humidity（Z values:-2.691,-7.577,-5.831,-8.603,P<0.05）.Logistic regression analysis showed that the risk factors of PM_2.5 concentration and PM₁₀ concentration were the frequency of mopping or dust collection and the frequency of window opening ventilation in non-heating season.Spearman correlation analysis showed that indoor temperature and relative humidity were negatively correlated with PM_2.5 concentration and PM₁₀ concentration in non-heating period.Conclusion There maybe indoor particulate matters pollution in functional areas of a city,especial in heating season.The levels of indoor particulate matters may be influenced by frequency of dust collection,ventilation frequency,temperature and relative humidity.更多还原