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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.
Journal ArticleDOI
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
Traffic-related air pollution and the development of asthma and allergies during the first 8 years of life.
Ulrike Gehring,Alet H. Wijga,Michael Brauer,Paul Fischer,Johan C. de Jongste,Marjan Kerkhof,Marieke Oldenwening,Henriette A. Smit,Bert Brunekreef +8 more
TL;DR: Exposure to traffic-related air pollution may cause asthma in children and positive associations with hay fever were found in nonmovers only, and no associations were found with atopic eczema, allergic sensitization, and bronchial hyperresponsiveness.
Journal ArticleDOI
High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data
Joshua S. Apte,Kyle P. Messier,Kyle P. Messier,Shahzad Gani,Michael Brauer,Thomas W. Kirchstetter,Melissa M. Lunden,Julian D. Marshall,Christopher J. Portier,Roel Vermeulen,Steven P. Hamburg +10 more
TL;DR: This work equipped Google Street View vehicles with a fast-response pollution measurement platform and repeatedly sampled every street in a 30-km2 area of Oakland, CA, developing the largest urban air quality data set of its type, revealing stable, persistent pollution patterns with surprisingly sharp small-scale variability attributable to local sources.
Journal ArticleDOI
On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario
TL;DR: In this paper, a neural calibration for the prediction of benzene concentrations using a gas multi-sensor device (solid-state) designed to monitor urban environment pollution is discussed.
Journal ArticleDOI
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: Over the past decade, a range of sensor technologies became available on the market, enabling a revolutionary shift in air pollution monitoring and assessment, and it can be argued that with a significant future expansion of monitoring networks, including indoor environments, there may be less need for wearable or portable sensors/monitors to assess personal exposure.
Proceedings ArticleDOI
Common Sense: participatory urban sensing using a network of handheld air quality monitors
Prabal Dutta,Paul M. Aoki,Neil Kumar,Alan Mainwaring,Chris Myers,Wesley Willett,Allison Woodruff +6 more
TL;DR: The Common Sense project is developing participatory sensing systems that allow individuals to measure their personal exposure, groups to aggregate their members' exposure, and activists to mobilize grassroots community action.