Examining the spatial and temporal variations in the indoor gaseous, PM2.5, BC concentrations in urban homes in India

被引:1
|
作者
Vijay, Prince [1 ]
Anand, Abhay [1 ]
Singh, Nidhi [2 ]
Schikowski, Tamara [2 ]
Phuleria, Harish C. [1 ,3 ]
机构
[1] Indian Inst Technol, Environm Sci & Engn Dept, Mumbai 400076, India
[2] IUF Leibniz Res Inst Environm Med, Dusseldorf, Germany
[3] Indian Inst Technol, Interdisciplinary Programme Climate Studies, Mumbai 400076, India
关键词
Indoor air pollution; Urban slums; Cohort; Questionnaire survey; Outdoor air pollution; FINE PARTICULATE MATTER; BLACK CARBON PARTICLES; AIR-POLLUTION; ULTRAFINE PARTICLES; EXPOSURE; OUTDOOR; COOKING; QUALITY; INFILTRATION; PERFORMANCE;
D O I
10.1016/j.atmosenv.2023.120287
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Given that people spend the majority of their time indoors, accurate measurement of pollutants in indoor environment settings is critical especially when the levels of air pollution often surpass those of outdoor environments. While extensive studies have been focussed on outdoor air quality, limited studies have examined indoor air quality in a residential setting. We measured gaseous and particulate pollutants using portable real-time monitors for similar to 24 h in indoor living spaces in dwellings, in urban slums in three metropolitan cities of India: Mumbai, Bangalore, and Delhi, and captured the pollutant levels from the domestic activities, which varied according to magnitudes and durations. The mean (+/- SD) of indoor total volatile organic compounds (TVOCs) and carbon monoxide (CO) were 720.1 (+/- 86.5) mu g/m(3) and 1.2 (+/- 0.3) ppm, respectively, for Mumbai; 626.1 (+/- 169.9) and 0.9 (+/- 0.5), respectively, for Bangalore; and 682.6 (+/- 251.8) and 1.7 (+/- 0.8), respectively, for Delhi. Particulate matter (PM2.5) and black carbon (BC) levels were 62.6 (+/- 16.9) and 3.2 (+/- 3.6), respectively, for Bangalore, and 187.7 (+/- 72.1) mu g/m(3) and 10.5 (+/- 3.3) mu g/m(3), respectively, for Delhi. Corresponding PM2.5 level in Mumbai were 111.2 (+/- 20.1) mu g/m(3). While high indoor levels of CO were associated with cooking, the use of incense and candles elevated CO and BC, cleaning activities increased TVOC and sweeping activities increased PM2.5. These levels are further affected by factors such as chimneys in homes (Mumbai-similar to 0.03%, Bangalore-similar to 15% and Delhi-similar to 37%), operating exhaust fans (Mumbai-similar to 35%, Bangalore-similar to 40% and Delhi-similar to 78%) and cross-ventilation characteristics (Mumbai-similar to 65%, Bangalore similar to 62% and Delhi-similar to 75%). Indoor concentrations excluding indoor activities, and outdoor concentration of CO (PM2.5) were found to be significantly correlated, similar to 0.51(0.40), 0.43(0.46) and 0.74 (0.68) for three cities respectively, which implies that outdoor air pollution is an important variable to consider when studying indoor air quality, especially during winter season where higher levels are observed in ambient environment.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Characteristics of the Spatial and Temporal Variations of Ambient PM2.5 Concentration at Kaohsiung City
    Lu, Mei-Fang
    Huang, Mei-Chuan
    Cheng, Kuang-Hung
    Lin, Jim Juimin
    MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3, 2013, 333-335 : 1724 - +
  • [22] Spatial-temporal patterns of PM2.5 concentrations for 338 Chinese cities
    Ye, Wei-Feng
    Ma, Zhong-Yu
    Ha, Xiu-Zhen
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 631-632 : 524 - 533
  • [23] Temporal and spatial distribution characteristics of atmospheric PM2.5 concentrations in Guiyang, China
    Sun, Rongguo
    Fan, Li
    Chen, Zhuo
    Nature Environment and Pollution Technology, 2019, 18 (02) : 663 - 671
  • [24] Spatial variations in PM2.5/PM10 over time in Andhra Pradesh, India
    Chandu, Kavitha
    Raju, A. Dharma
    Kumar, S. V. J.
    Mahendra, N.
    JOURNAL OF INDIAN GEOPHYSICAL UNION, 2023, 27 (03):
  • [25] Spatial and seasonal variation of outdoor BC and PM2.5 in densely populated urban slums
    Anand, Abhay
    Phuleria, Harish C.
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (02) : 1397 - 1408
  • [26] Spatial and Temporal Distributions of PM10 and PM2.5 Concentrations in Chungcheongnam-do
    Kim, Jong Bum
    Yoon, Soo Hyang
    Lee, Sang Sin
    Kim, Kyung Hwan
    Noh, Sujin
    Bae, Gwi-Nam
    JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2020, 36 (04) : 464 - 481
  • [27] Characterizing spatial distribution and temporal variation of PM10 and PM2.5 mass concentrations in an urban area of Southwest China
    Huang, Wei
    Long, Enshen
    Wang, Jun
    Huang, Ruyi
    Ma, Li
    ATMOSPHERIC POLLUTION RESEARCH, 2015, 6 (05) : 842 - 848
  • [28] Spatial and seasonal variation of outdoor BC and PM2.5 in densely populated urban slums
    Abhay Anand
    Harish C. Phuleria
    Environmental Science and Pollution Research, 2021, 28 : 1397 - 1408
  • [29] Characterizing indoor and outdoor 15 minute average PM2.5 concentrations in urban neighborhoods
    Ramachandran, G
    Adgate, JL
    Pratt, GC
    Sexton, K
    AEROSOL SCIENCE AND TECHNOLOGY, 2003, 37 (01) : 33 - 45
  • [30] The influential factors of urban PM2.5 concentrations in China: a spatial econometric analysis
    Hao, Yu
    Liu, Yi-Ming
    JOURNAL OF CLEANER PRODUCTION, 2016, 112 : 1443 - 1453