Performance of low-cost monitors to assess household air pollution

被引:31
|
作者
Curto, A. [1 ,2 ,3 ]
Donaire-Gonzalez, D. [1 ,2 ,3 ]
Barrera-Gomez, J. [1 ,2 ,3 ]
Marshall, J. D. [4 ]
Nieuwenhuijsen, M. J. [1 ,2 ,3 ]
Wellenius, G. A. [5 ]
Tonne, C. [1 ,2 ,3 ]
机构
[1] ISGIobal, Ctr Res Environm Epidemiol CREAL, Barcelona, Spain
[2] UPF, Barcelona, Spain
[3] CIBERESP, Barcelona, Spain
[4] Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA
[5] Brown Univ, Sch Publ Hlth, Dept Epidemiol, Providence, RI 02912 USA
基金
欧洲研究理事会;
关键词
Household air pollution; Particulate matter; Carbon monoxide; Air quality sensing; Low cost instrument; PARTICULATE MATTER; CARBON-MONOXIDE; PERSONAL EXPOSURE; BIOMASS FUELS; SENSORS; PM2.5; QUALITY; STOVES; EMISSIONS; COOKING;
D O I
10.1016/j.envres.2018.01.024
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Exposure to household air pollution is a leading cause of morbidity and mortality globally. However, due to the lack of validated low-cost monitors with long-lasting batteries in indoor environments, most epidemiologic studies use self-reported data or short-term household air pollution assessments as proxies of long-term exposure. We evaluated the performance of three low-cost monitors measuring fine particulate matter (PM2.5) and carbon monoxide (CO) in a wood-combustion experiment conducted in one household of Spain for 5 days (including the co-location of 2 units of HAPEX and 3 units of TZOA-R for PM2.5 and 3 units of EL-USB-CO for CO; a total of 40 unit-days). We used Spearman correlation (p) and Concordance Correlation Coefficient (CCC) to assess accuracy of low-cost monitors versus equivalent research-grade devices. We also conducted a field study in India for 1 week (including HAPEX in 3 households and EL-USB-CO in 4 households; a total of 49 unit-days). Correlation and agreement at 5-min were moderate-high for one unit of HAPEX (p = 0.73 / CCC = 0.59), for one unit of TZOA-R (p = 0.89 / CCC = 0.62) and for three units of EL-USB-CO (p = 0.82-0.89 / CCC = 0.66-0.91) in Spain, although the failure or malfunction rate among low-cost units was high in both settings (60% of unit-days in Spain and 43% in India). Low-cost monitors tested here are not yet ready to replace more established exposure assessment methods in long-term household air pollution epidemiologic studies. More field validation is needed to assess evolving sensors and monitors with application to health studies.
引用
收藏
页码:53 / 63
页数:11
相关论文
共 50 条
  • [21] Low-Cost Air Estimation
    Turin, Raymond
    Dagci, Oguz
    Chang, Man-Feng
    [J]. SAE INTERNATIONAL JOURNAL OF ENGINES, 2009, 2 (01) : 357 - 369
  • [22] Performance of low-cost indoor air quality monitors for PM2.5 and PM10 from residential sources
    Wang, Zhiqiang
    Delp, William W.
    Singer, Brett C.
    [J]. BUILDING AND ENVIRONMENT, 2020, 171
  • [23] Performance evaluation of low-cost air quality sensors: A review
    Kang, Ye
    Aye, Lu
    Ngo, Tuan Duc
    Zhou, Jin
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 818
  • [24] Performance Evaluation of Low-cost PurpleAir Sensors in Ambient Air
    Ko, Kabseok
    Cho, Seokheon
    Rao, Ramesh R.
    [J]. 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2020), 2020, : 563 - 568
  • [25] Review of the Performance of Low-Cost Sensors for Air Quality Monitoring
    Karagulian, Federico
    Barbiere, Maurizio
    Kotsev, Alexander
    Spinelle, Laurent
    Gerboles, Michel
    Lagler, Friedrich
    Redon, Nathalie
    Crunaire, Sabine
    Borowiak, Annette
    [J]. ATMOSPHERE, 2019, 10 (09)
  • [26] A new calibration system for low-cost Sensor Network in air pollution monitoring
    Cui, Houxin
    Zhang, Ling
    Li, Wanxin
    Yuan, Ziyang
    Wu, Mengxian
    Wang, Chunying
    Ma, Jingjin
    Li, Yi
    [J]. ATMOSPHERIC POLLUTION RESEARCH, 2021, 12 (05)
  • [27] Hyperlocal air pollution in an urban environment- measured with low-cost sensors
    Frederickson, Louise Boge
    Russell, Hugo Savill
    Fessa, Dafni
    Khan, Jibran
    Schmidt, Johan Albrecht
    Johnson, Matthew Stanley
    Hertel, Ole
    [J]. URBAN CLIMATE, 2023, 52
  • [28] A low-cost particle counter and signal processing method for indoor air pollution
    Taylor, M. D.
    Nourbakhsh, I. R.
    [J]. AIR POLLUTION XXIII, 2015, 198 : 337 - 348
  • [29] On the Data Analysis of Participatory Air Pollution Monitoring Using Low-cost Sensors
    Fekih, Mohamed Anis
    Bechkit, Walid
    Rivano, Herve
    [J]. 26TH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (IEEE ISCC 2021), 2021,
  • [30] A research-oriented low-cost air pollution monitoring IoT platform
    Ben-Aboud, Yassine
    Ghogho, Mounir
    Kobbane, Abdellatif
    [J]. 2020 16TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC, 2020, : 1324 - 1329