Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi

Ashley Bittner, Eben S. Cross, David H. Hagan, Carl Malings, Eric M. Lipsky, Andrew P. Grieshop · 2022 · Atmospheric measurement techniques

Summary. Low-cost air quality sensors deployed in rural Malawi can effectively monitor air pollution when calibrated using data from regulatory sites in wealthier regions. Machine learning models, particularly k-nearest neighbors hybrid approaches, successfully calibrate electrochemical gas sensors and transfer well to deployment conditions. Optical particle counters performed poorly in high humidity and near biomass burning. Data recovery was limited by power constraints, but sensors showed no decay over one year. The study demonstrates feasibility while identifying needs for improved power systems and regional monitoring infrastructure.

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@article{bittner-2022-performance-characterization-low-cost-air,
  title   = {Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi},
  author  = {Ashley Bittner and Eben S. Cross and David H. Hagan and Carl Malings and Eric M. Lipsky and Andrew P. Grieshop},
  journal = {Atmospheric measurement techniques},
  year    = {2022},
  doi     = {10.5194/amt-15-3353-2022},
  url     = {https://doi.org/10.5194/amt-15-3353-2022}
}

TY  - JOUR
TI  - Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi
AU  - Ashley Bittner
AU  - Eben S. Cross
AU  - David H. Hagan
AU  - Carl Malings
AU  - Eric M. Lipsky
AU  - Andrew P. Grieshop
JO  - Atmospheric measurement techniques
PY  - 2022
DO  - 10.5194/amt-15-3353-2022
UR  - https://doi.org/10.5194/amt-15-3353-2022
ER  - 

Details

DOI

10.5194/amt-15-3353-2022

Countries

Malawi, United States

Regions

North America

Categories

broadband-and-digital, climate-and-environment, rural-data-and-definitions

Added

2026-04-28