Variations and characteristics of particulate matter, black carbon and volatile organic compounds in primary school classrooms

被引:11
|
作者
Li, Kangwei [1 ,2 ,3 ]
Shen, Jiandong [4 ]
Zhang, Xin [2 ]
Chen, Linghong [2 ]
White, Stephen [5 ]
Yan, Mingming [2 ]
Han, Lixia [2 ]
Yang, Wen [1 ]
Wang, Xinhua [1 ]
Azzi, Merched [3 ]
机构
[1] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China
[2] Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China
[3] CSIRO Energy, POB 52, N Ryde, NSW 1670, Australia
[4] Hangzhou Environm Monitoring Ctr Stn, Hangzhou 310007, Peoples R China
[5] New South Wales Dept Planning Ind & Environm, POB 29, Lidcombe, NSW 1825, Australia
基金
中国国家自然科学基金;
关键词
Black carbon; Classroom air; Indoor pollution; Particulate matter; Volatile organic compounds; ABSORPTION ANGSTROM EXPONENT; AIRBORNE PARTICLES; INDOOR SOURCES; AIR-POLLUTION; CHINA; REACTIVITY; PROFILES; EXPOSURE; IMPACT;
D O I
10.1016/j.jclepro.2019.119804
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The effect of human activities on the characteristics and variations of indoor air pollutants is poorly understood, in particular for the classroom environment due to the limited reports at present. In this study, an observational campaign (17 days) was carried out in two selected classrooms (one equipped with air purifier) in a primary school of Hangzhou, China. Highly time-resolved particulate matter (PM) and black carbon (BC) were measured using Aerodynamic Particle Sizer (APS) and Aethalometer, and the diurnal variations of PM2.5, PM10, PM20 and BC were characterized in detail. It was found that the student activities occurred throughout the daytime and could result in rapid changes in air pollutants. For example, the daytime student activities (e.g., chasing and running) strongly enhanced the PM level and changed PM diurnal pattern, in particular for coarse particles (2.5-10 mu m) with short-term spikes at intervals, which was not observed under vacant conditions. The indoor BC did not show clear diurnal patterns, regardless of working days and weekends. Through absorption exponent analysis, it was inferred that the source of indoor BC was stable at most of the time, and possibly related to traffic emission. Besides, three volatile organic compounds (VOCs) samples were collected from the two classrooms, and the laboratory analysis results showed that oxygenated VOCs was a major contributor to indoor VOCs. Through inter-comparison analysis of indoor and outdoor samples, it was further found that the VOC profile of classrooms has a similar pattern with outdoor environments. Finally, the most abundant VOC species of classroom environment were identified, and their potential sources were estimated. (C) 2019 Elsevier Ltd. All rights reserved.
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页数:10
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