Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?
Nuria Castell,Franck R. Dauge,Philipp Schneider,Matthias Vogt,Uri Lerner,Barak Fishbain,David M. Broday,Alena Bartonova +7 more
TLDR
An exhaustive evaluation of 24 identical units of a commercial low-cost sensor platform against CEN (European Standardization Organization) reference analyzers, evaluating their measurement capability over time and a range of environmental conditions shows that their performance varies spatially and temporally.About:
This article is published in Environment International.The article was published on 2017-02-01 and is currently open access. It has received 607 citations till now. The article focuses on the topics: Data quality & Environmental exposure.read more
Citations
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Improving accuracy of air pollution exposure measurements: Statistical correction of a municipal low-cost airborne particulate matter sensor network.
TL;DR: This study investigated linear and random forest models to correct PM2.5 measurements from the Denver Department of Public Health and Environment (DDPHE)'s network of low-cost sensors against measurements from co-located U.S. Environmental Protection Agency Federal Equivalence Method monitors.
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Wearable sensors for multifactorial personal exposure measurements - A ranking study.
Maximilian Ueberham,Uwe Schlink +1 more
TL;DR: For the first time, an extensive device inter-comparison and a ranking of the sensors based on performance measures, Taylor diagrams, Bland-Altman plots, and ease-of-use aspects are presented, relevant for future epidemiological studies of multifactorial exposure of individuals and their health.
Journal ArticleDOI
Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements
Liang Yue,Cheng Wu,Shutong Jiang,Yong Jie Li,Dui Wu,Mei Li,Peng Cheng,Wenda Yang,Chunlei Cheng,Lei Li,Tao Deng,Jia Yin Sun,Guowen He,Ben Liu,Teng Yao,Teng Yao,Manman Wu,Zhen Zhou +17 more
TL;DR: A comprehensive evaluation of data correction algorithms proposed to tackle the drifting response of ECGS due to environmental factors using a large dataset from field comparisons to examine the robustness of correction algorithms in response to different training and evaluation data period configurations.
Journal ArticleDOI
Applicability of Optical and Diffusion Charging-Based Particulate Matter Sensors to Urban Air Quality Measurements
Joel Kuula,Heino Kuuluvainen,Topi Rönkkö,Jarkko V. Niemi,Erkka Saukko,Harri Portin,Minna Aurela,Sanna Saarikoski,Antti Rostedt,Risto Hillamo,Hilkka Timonen +10 more
TL;DR: In this article, the performance of a custom-built optical instrument (PAS; uses Shinyei PPD60PV and PPD42NS sensor modules) and three commercial diffusion charging-based sensors (Pegasor AQ Urban, DiSCmini and Partector) was evaluated against reference instruments.
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3D monitoring and modelling of air quality for sustainable urban port planning: Review and perspectives
Marco Casazza,Massimiliano Lega,Elio Jannelli,Mariagiovanna Minutillo,Daniel A. Jaffe,Vincenzo Severino,Sergio Ulgiati +6 more
TL;DR: A set of effective criteria for developing a 3D air quality monitoring and modelling, which might be applied in the context of urban port management and planning is reviewed and the potentiality of such an approach as a first component for local environmental management systems is unveiled.
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The rise of low-cost sensing for managing air pollution in cities.
Prashant Kumar,Lidia Morawska,Claudio Martani,George Biskos,George Biskos,George Biskos,Marina Neophytou,Silvana Di Sabatino,Margaret Bell,Leslie Norford,Rex Britter +10 more
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