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A Gap Analysis of Low-Cost Outdoor Air Quality Sensor In-Field Calibration
Francesco Concas,Julien Mineraud,Eemil Lagerspetz,Samu Varjonen,Kai Puolamäki,Petteri Nurmi,Sasu Tarkoma +6 more
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TLDR
This article presents low-cost sensor technologies, and it survey and assess machine learning-based calibration techniques for their calibration, and presents open questions and directions for future research.Abstract:
In recent years, interest in monitoring air quality has been growing. Traditional environmental monitoring stations are very expensive, both to acquire and to maintain, therefore their deployment is generally very sparse. This is a problem when trying to generate air quality maps with a fine spatial resolution. Given the general interest in air quality monitoring, low-cost air quality sensors have become an active area of research and development. Low-cost air quality sensors can be deployed at a finer level of granularity than traditional monitoring stations. Furthermore, they can be portable and mobile. Low-cost air quality sensors, however, present some challenges: they suffer from crosssensitivities between different ambient pollutants; they can be affected by external factors such as traffic, weather changes, and human behavior; and their accuracy degrades over time. Some promising machine learning approaches can help us obtain highly accurate measurements with low-cost air quality sensors. In this article, we present low-cost sensor technologies, and we survey and assess machine learning-based calibration techniques for their calibration. We conclude by presenting open questions and directions for future research.read more
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Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone?
Lidia Morawska,Phong K. Thai,Xiaoting Liu,Akwasi Bonsu Asumadu-Sakyi,Godwin A. Ayoko,Alena Bartonova,Andrea Bedini,Fahe Chai,Bryce Christensen,Matthew Dunbabin,Jian Gao,Gayle S.W. Hagler,Rohan Jayaratne,Prashant Kumar,Alexis K.H. Lau,Peter K.K. Louie,Mandana Mazaheri,Zhi Ning,Nunzio Motta,Ben Mullins,Mahmudur Rahman,Zoran Ristovski,Mahnaz Shafiei,Dian Tjondronegoro,Dane Westerdahl,Ronald Williams +25 more
TL;DR: In this article, the authors conducted a comprehensive literature search including both the scientific and grey literature, and concluded that there is no clear answer to the question, due to a lack of: sensor/monitor manufacturers' quantitative specifications of performance, consensus regarding recommended end-use and associated minimal performance targets of these technologies, and the ability of the prospective users to formulate the requirements for their applications, or conditions of the intended use.
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From air quality sensors to sensor networks: Things we need to learn
Yi Li,Ziyang Yuan,L.-W. Antony Chen,Ajay Pillarisetti,Ajay Pillarisetti,Varun Yadav,Mengxian Wu,Houxin Cui,Chuanfeng Zhao +8 more
TL;DR: In this paper, low-cost air quality sensors (LCAQS) can be deployed in dense monitoring networks to provide timely and comprehensive snapshots of pollutant concentrations and their spatial and temporal variability at various scales with relatively less cost and labor.
References
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Journal ArticleDOI
Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe - The ESCAPE project
Rob Beelen,Gerard Hoek,Danielle Vienneau,Marloes Eeftens,Konstantina Dimakopoulou,Xanthi Pedeli,Ming-Yi Tsai,Ming-Yi Tsai,Ming-Yi Tsai,Nino Künzli,Nino Künzli,Tamara Schikowski,Alessandro Marcon,Kirsten Thorup Eriksen,Ole Raaschou-Nielsen,Euripides G. Stephanou,Evridiki Patelarou,Timo Lanki,Tarja Yli-Tuomi,Christophe Declercq,Grégoire Falq,Morgane Stempfelet,Matthias Birk,Josef Cyrys,Stephanie von Klot,Gizella Nádor,Mihály J. Varró,Audrius Dėdelė,Regina Gražulevičienė,Anna Mölter,Sarah Lindley,Christian Madsen,Giulia Cesaroni,Andrea Ranzi,Chiara Badaloni,Barbara Hoffmann,Michael R. Nonnemacher,Ursula Krämer,Thomas A. J. Kuhlbusch,Marta Cirach,Audrey de Nazelle,Mark J. Nieuwenhuijsen,Tom Bellander,Michal Korek,David Olsson,Magnus Strömgren,Evi Dons,Evi Dons,Michael Jerrett,Paul Fischer,Meng Wang,Bert Brunekreef,Kees de Hoogh +52 more
TL;DR: In this article, the authors estimate within-city variability in air pollution concentrations using Land Use Regression (LUR) models and show that LUR models are able to explain small-scale within city variations.
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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
TL;DR: 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.
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The ion chemistry and the source of PM2.5 aerosol in Beijing
Ying Wang,Ying Wang,Guoshun Zhuang,Guoshun Zhuang,Aohan Tang,Hui Yuan,Yele Sun,Shuang Chen,Aihua Zheng +8 more
TL;DR: In this article, daily PM 2.5 aerosol samples were collected at five sites in Beijing for a 3-year period from 2001 to 2003, and 23 elements were measured for a total of 334 samples.
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Traffic-related air pollution, particulate matter, and autism.
TL;DR: Exposure to traffic-related air pollution, nitrogen dioxide, PM2.5, and PM10 during pregnancy and during the first year of life was associated with autism.
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Hospital admissions and chemical composition of fine particle air pollution.
TL;DR: A positive and statistically significant association was found between county-specific estimates of the short-term effects of PM(2.5) on cardiovascular and respiratory hospitalizations and county- specific levels of vanadium, elemental carbon, or nickel PM( 2.5), and communities with higher PM(1.7) content of nickel, vanadium and elemental carbon and/or their related sources were found to have higher risk of hospitalizations.