摘要
采用直读式Dust Trak 8533型颗粒物浓度测定仪于2016年3月26日至4月11日对黄石某高校大学生寝室室内颗粒物浓度进行了连续监测。结果显示,室内PM_(2.5)和PM_(10)的浓度范围分别为33~95μg/m3和45~140μg/m3,PM_(10)日均浓度均未超过国家2级标准,其中PM_(2.5)质量浓度有4 d超过国家2级标准(>75μg/m3);PM_(2.5)的质量浓度在颗粒物浓度中起着主导作用,占总悬浮颗粒物质量浓度的63%;PM_(2.5)/PM_(10)和PM_(10)/TSP比值在采样期间起伏变化都比较大,其中PM_(2.5)/PM_(10)在3月29日、4月2日比值达到0.8以上,说明细颗粒物污染比较严重;PM_(10)/TSP比值在0.75~0.92之间波动,说明PM_(10)质量浓度对颗粒物质量浓度影响较大;分析采样监测的温度、湿度、风速与颗粒物浓度的相关性可知,颗粒物质量浓度的变化与温度、湿度都存在弱的负相关性。
The indoor particle mass concentration of the college student＇s dormitory in Huangshi was analyzed by the direct- reading Dust Trak 8533 particle concentration detector from March 26 to April 11,2016,and the factors affecting indoor air quality were discussed. The results indicated that the indoor PM_（2.5）and PM_（10） concentration ranges were 33 ~ 95 μg / m^3 and 45 ~ 140 μg / m^3,PM_（10） daily average concentration did not exceed the national secondary standard,but four days in which the concentration of PM_（2.5）exceed the national secondary standard（ 〉75 μg / m^3）. PM_（2.5）of the mass concentration played a major role in particulate concentration and occupied 63% of the total suspended particles. The fluctuations of the ratio of PM_（2.5）/ PM_（10） and PM_（10）/ TSP changed greatly during the sample period,the ratio of PM_（2.5）/ PM_（10） on March 29 and April 2 were above 0. 8,indicating the fine particle pollution was serious; the ratio of PM_（10）/ TSP changed between the 0. 75~ 0. 92,indicating PM_（10） mass concentration has great influence on TSP concentration. The correlation between particle concentration and temperature,humidity and air velocity acquired by sampling and monitoring analysis showed that there was weak negative correlation between the particle concentration change and temperature and humidity.
出处
《湖北理工学院学报》
2016年第6期30-34,51,共6页
Journal of Hubei Polytechnic University
基金
湖北理工学院优秀青年科技创新团队资助计划项目(项目编号:13xtz07)
湖北省科技支撑计划项目(对外科技合作类)(项目编号:2014BHE0030)
湖北省大学生创新创业训练计划项目(项目编号:201610920010)
关键词
大学生宿舍
室内空气
颗粒物
粒径分布
影响因素
college student＇s dormitory
indoor air
particle
size distribution
influence factor
