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高校学生寝室PM_(2.5)主要影响因素分析

An Analysis of the Main Influencing Factors for PM_(2.5) in University Dormitory
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摘要 为改善高校寝室空气质量,以四川某一高校学生寝室为监测和实验平台,按不同朝向随机抽取30间寝室进行室内PM_(2.5)浓度监测。结果显示:97.7%的学生寝室空气质量未达标,利用逐步多元回归法对影响室内PM_(2.5)浓度的各因素进行拟合发现,吸烟、高湿度环境、通风不良、以及室外PM_(2.5)浓度为影响室内PM_(2.5)主要因素。试验表明:合理通风、控湿,室内禁烟、以及放置绿植等措施有降低室内PM_(2.5)浓度,从而提升寝室空气品质的效果。 To improve the indoor air quality of university dormitory,the PM2.5concentration is monitored by random sampling of30bedrooms in a university dormitory of Sichuan that has been used as a monitoring and experimental platform.The results show that97.7%of the students’dormitory air quality is not up to the standard.The factors that have influenced the indoor PM2.5concentration are fused by the stepwise multiple regression method.Smoking,high humidity environment,poor ventilation and outdoor PM2.5concentration are found to be the main factors that have affected the indoor PM2.5.Experiments show that measures like reasonable ventilation,humidity control,prohibition of indoor smoking,and the placement of green plants work well for reducing the indoor PM2.5concentration and improving the bedroom air quality.
作者 罗川 周子众 周子博 任丽平 LUO Chuan;ZHOU Zizhong;ZHOU Zibo;REN Lipin(College of Environmental Science and Engineering,China West Normal University,Nanchong Sichuan 637009, China;Nanchong Senior High School,Nanchong Sichuan 637000,China)
出处 《西华师范大学学报(自然科学版)》 2017年第4期456-461,共6页 Journal of China West Normal University(Natural Sciences)
基金 西华师范大学英才科研基金项目(17YC548)
关键词 学生寝室、室内空气质量、逐步多元回归 dormitory indoor air quality stepwise multiple regression method
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