中小型旅馆室内污染物分布规律与预测  

Distribution and prediction of indoor pollutants in small and medium-sized hotels

作　　者：齐子姝[1] 郭利敏 张语 徐阳 QI Zi-shu;GUO Li-min;ZHANG Yu;XU Yang(School of municipal and environmental engineering,Jilin Jianzhu university,Changchun 130118,China;Jilin Dadi technology consulting Co Ltd,Jilin 132000,China)

机构地区：[1]吉林建筑大学市政与环境工程学院,长春130118 [2]吉林市大地技术咨询有限公司,吉林132000

出　　处：《吉林建筑大学学报》2022年第5期51-56,共6页Journal of Jilin Jianzhu University

基　　金：吉林省教育厅科研规划项目(JJKH20210265KJ)。

摘　　要：本文通过对寒冷地区中小型旅馆室内PM 2.5,CO_(2),CH2O进行实际测试,得出污染物浓度变化规律.通过现场调研与实测数据,分析室内污染物浓度的影响因素,利用线性回归的方法得出PM 2.5,CO_(2),CH2O的预测模型和常规残差,构建了污染物传播的数学模型,对各污染物进行多因素分析,得到了各因素及因素之间的交互效应对室内PM 2.5,CO_(2),CH2O浓度影响的程度,对改善室内环境起到了指导作用,为下一步采取特定方法降低污染物浓度以及为中小型旅馆的室内设计提供理论依据.In this paper,the indoor PM 2.5,CO_(2),CH_(2)O of small and medium-sized hotels in cold areas were tested,and the variation rule of pollutant concentration was obtained.Through field investigation and measured data,the influencing factors of indoor pollutant concentration were analyzed.The prediction model and conventional residual of PM 2.5,CO_(2)and CH_(2)O were obtained by linear regression method,and the mathematical model of pollutant propagation was constructed.The multi-factor analysis of each pollutant was carried out.The influence of various factors and their interaction on indoor PM 2.5,CO_(2)and CH_(2)O concentration was obtained,which played a guiding role in improving the indoor environment,and provided theoretical basis for taking specific methods to reduce pollutant concentration in the next step and for interior design of small and medium-sized hotels.

关 键 词：污染物 中小型旅馆 预测模型 PM 2.5 CO_(2) CH_(2)O 多因素分析 

分 类 号：TU83[建筑科学—供热、供燃气、通风及空调工程]