济南市某办公场所室内空气颗粒物浓度及变化特征
Concentrations and Variations of Office Indoor Air Particulate Matters in Jinan
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摘要:
目的 了解室内空气颗粒污染物污染水平及变化趋势。 方法 于2012 年9 月至2013 年8 月工作日期间在济南市某办公场所采用LD-5C(B)微电脑激光粉尘仪对室内空气颗粒物PM10、PM2.5 进行监测。每间隔1 h 采样,每次采样5 min,计算日平均浓度。 结果 济南市某办公场所室内颗粒物PM10、PM2.5 年均浓度分别为0.112 mg/m3、0.078 mg/m3;1 月、2 月、6 月、7 月和10 月期间室内颗粒物浓度较高;第一季度室内PM2.5 浓度高于其他季度(H=10.829,P=0.013),PM10 浓度在各季度间差异无统计学意义(H=7.284,P=0.063);采暖季节(当年11 月15 日至次年3 月15 日)PM2.5 浓度高于非采暖季节(Z=-2.368,P=0.018),PM10 浓度差异无统计学意义(Z=-0.927,P=0.354);采暖季节和非采暖季节PM2.5/PM10 值分别为0.79 和0.65,差异有统计学意义(Z=-4.897,P=0.000)。 结论 济南市某办公场所室内颗粒物污染较重,室内颗粒物浓度呈季节变化趋势,采暖对室内细颗粒物PM2.5 浓度影响较大。 Abstract:Objective To assess the concentration of particulate matters in indoor air and its variation tendency. Methods Indoor air levels of PM2.5 and PM10 were monitored with LD-5C(B) microcomputer laser fine particulate matter monitor in an office in Jinan during working days from September 2012 to August 2013. The sampling was conducted once an hour, and each lasted 5 min to calculate daily concentrations. Results The indoor average concentrations of PM10 and PM2.5 were 0.112 mg/m3 and 0.078 mg/m3, respectively. The monthly average concentrations of indoor particulate matters for January, February, June, July, and October were higher than those of the other months. The PM2.5 concentration of the first quarter was higher (H=10.829, P=0.013) than those of the other three quarters, while there was no significant difference (H=7.284, P=0.063) among the seasons for the PM10 concentrations. The PM2.5 concentration during the heating period (15 November 2012-15 March 2013) was higher (Z=-2.368, P=0.018) than that of the non-heating period, while no significant difference (Z=-0.927, P=0.354) was observed for the PM10 concentrations. The ratios of PM2.5/PM10 during the heating and non-heating periods were 0.79 and 0.65, respectively (Z=-4.897, P=0.000). Conclusion The indoor air in Jinan is heavily polluted by particulate matters. The concentrations of particulate matters show seasonal variations. Central heating systems contribute a significant proportion to local indoor PM2.5 concentration.
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