Developing and testing a PM2.5 low-cost sensor in Ethiopia under ambient and indoor air pollution conditions
Dingemanse, Johannes Dirk LU
and Tademe, Afework
(2023)
In Clean Air Journal
33(2).
- Abstract
- PM2.5 low-cost sensors are a promising trend for low-income countries, where the PM2.5 associated burden of disease is high and few measurement instruments are available. Commercially available Sensor Systems (SSys) are relatively affordable and easy to use. They are, however, not designed for or evaluated in contexts characterized by much biomass burning, regular power interruptions and/or low internet coverage, typical for low-income countries. Alternatively, local teams can build a sensor system with PM2.5 sensors from Original Equipment Manufacturers (OEM). Existing African OEM projects depend on international partners and funding. This puts the affordability for local teams without funding into question. Furthermore, field comparisons... (More)
- PM2.5 low-cost sensors are a promising trend for low-income countries, where the PM2.5 associated burden of disease is high and few measurement instruments are available. Commercially available Sensor Systems (SSys) are relatively affordable and easy to use. They are, however, not designed for or evaluated in contexts characterized by much biomass burning, regular power interruptions and/or low internet coverage, typical for low-income countries. Alternatively, local teams can build a sensor system with PM2.5 sensors from Original Equipment Manufacturers (OEM). Existing African OEM projects depend on international partners and funding. This puts the affordability for local teams without funding into question. Furthermore, field comparisons of such sensors for ambient concentrations and indoor settings are rarely conducted in low-income contexts. In Arba Minch, Ethiopia, we developed a sensor system (SPSA) with the OEM Sensirion SPS30 and other components, together with an Arduino microprocessor, with LoRaWAN data transmission. We used the hardware and software in multiple configurations. The SPSA was used in 14 contexts typical for Ethiopia. During these tests we encountered problems that were easily solved by maintenance on location. On seven locations we collocated the SPSA with itself, gravimetric instruments and/or SSys. Amongst SPSA we found coefficients of determination (R2) of at least 0.98 for three ambient and one indoor location. The accuracy in comparison with the gravimetric method was 16% under ambient and 13% under indoor circumstances. This is lower than the internationally required 25%. The R2 in comparison to two SSys was 0.91-0.98 under ambient and 0.88-1.00 under indoor circumstances. The SPSA is a versatile sensor system that can be used in both ambient and indoor air pollution circumstances. Local development without international partners and funding resulted in local experience gaining, low costs, local ownership, and the possibility of tailoring the system to local needs regarding power and connectivity. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/f477f0ef-6c45-4085-bee9-58fe89f5cbdf
- author
- Dingemanse, Johannes Dirk
LU
and Tademe, Afework
- publishing date
- 2023-12-21
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Ambient air pollution, Indoor air pollution, PM2.5, Low-cost sensor, Sensirion SPS30, Measurement network, Arduino
- in
- Clean Air Journal
- volume
- 33
- issue
- 2
- pages
- 15 pages
- publisher
- National Association of Clean Air
- external identifiers
-
- scopus:85184236479
- ISSN
- 1017-1703
- DOI
- 10.17159/caj/2023/33/2.16488
- project
- Low-cost research methods in Ethiopia
- language
- English
- LU publication?
- no
- id
- f477f0ef-6c45-4085-bee9-58fe89f5cbdf
- alternative location
- https://cleanairjournal.org.za/article/view/16488
- date added to LUP
- 2024-10-25 07:14:39
- date last changed
- 2025-04-04 15:08:10
@article{f477f0ef-6c45-4085-bee9-58fe89f5cbdf,
abstract = {{PM2.5 low-cost sensors are a promising trend for low-income countries, where the PM2.5 associated burden of disease is high and few measurement instruments are available. Commercially available Sensor Systems (SSys) are relatively affordable and easy to use. They are, however, not designed for or evaluated in contexts characterized by much biomass burning, regular power interruptions and/or low internet coverage, typical for low-income countries. Alternatively, local teams can build a sensor system with PM2.5 sensors from Original Equipment Manufacturers (OEM). Existing African OEM projects depend on international partners and funding. This puts the affordability for local teams without funding into question. Furthermore, field comparisons of such sensors for ambient concentrations and indoor settings are rarely conducted in low-income contexts. In Arba Minch, Ethiopia, we developed a sensor system (SPSA) with the OEM Sensirion SPS30 and other components, together with an Arduino microprocessor, with LoRaWAN data transmission. We used the hardware and software in multiple configurations. The SPSA was used in 14 contexts typical for Ethiopia. During these tests we encountered problems that were easily solved by maintenance on location. On seven locations we collocated the SPSA with itself, gravimetric instruments and/or SSys. Amongst SPSA we found coefficients of determination (R2) of at least 0.98 for three ambient and one indoor location. The accuracy in comparison with the gravimetric method was 16% under ambient and 13% under indoor circumstances. This is lower than the internationally required 25%. The R2 in comparison to two SSys was 0.91-0.98 under ambient and 0.88-1.00 under indoor circumstances. The SPSA is a versatile sensor system that can be used in both ambient and indoor air pollution circumstances. Local development without international partners and funding resulted in local experience gaining, low costs, local ownership, and the possibility of tailoring the system to local needs regarding power and connectivity.}},
author = {{Dingemanse, Johannes Dirk and Tademe, Afework}},
issn = {{1017-1703}},
keywords = {{Ambient air pollution; Indoor air pollution; PM2.5; Low-cost sensor; Sensirion SPS30; Measurement network; Arduino}},
language = {{eng}},
month = {{12}},
number = {{2}},
publisher = {{National Association of Clean Air}},
series = {{Clean Air Journal}},
title = {{Developing and testing a PM2.5 low-cost sensor in Ethiopia under ambient and indoor air pollution conditions}},
url = {{http://dx.doi.org/10.17159/caj/2023/33/2.16488}},
doi = {{10.17159/caj/2023/33/2.16488}},
volume = {{33}},
year = {{2023}},
}