Open Access
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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TLDR
In this article, the authors illustrate the drivers behind current rises in the use of low-cost sensors for air pollution management in cities, whilst addressing the major challenges for their effective implementation.Abstract:
Ever growing populations in cities are associated with a major increase in road vehicles and air pollution. The overall high levels of urban air pollution have been shown to be of a significant risk to city dwellers. However, the impacts of very high but temporally and spatially restricted pollution, and thus exposure, are still poorly understood. Conventional approaches to air quality monitoring are based on networks of static and sparse measurement stations. However, these are prohibitively expensive to capture tempo-spatial heterogeneity and identify pollution hotspots, which is required for the development of robust real-time strategies for exposure control. Current progress in developing low-cost micro-scale sensing technology is radically changing the conventional approach to allow real-time information in a capillary form. But the question remains whether there is value in the less accurate data they generate. This article illustrates the drivers behind current rises in the use of low-cost sensors for air pollution management in cities, whilst addressing the major challenges for their effective implementation.read more
Citations
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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 Article
Real-time sensors for indoor air monitoring and challenges ahead in deploying them to urban buildings
Prashant Kumar,Andreas N. Skouloudis,Margaret Bell,Mar Viana,Maria-Cristina Carotta,George Biskos,Lidia Morawska +6 more
TL;DR: Forouzanfar et al. as discussed by the authors provide a review of the new air pollution sensing methods to determine indoor air quality and discuss how real-time sensing could bring a paradigm shift in controlling the concentration of key air pollutants in billions of urban houses worldwide.
Journal ArticleDOI
Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art
TL;DR: This article summarizes the existing studies on the state-of-the-art of LCS for AQM, and conceptualizes a step by step procedure to establish a sustainable AQM setup with LCS that can produce reliable data.
Ultrafine particles in cities
Prashant Kumar,Lidia Morawska,Wolfram Birmili,Pauli Paasonen,Min Hu,Markku Kulmala,Roy M. Harrison,Leslie Norford,Rex Britter +8 more
TL;DR: In this paper, the authors reviewed some fundamental drivers of UFP emissions and dispersion, and highlighted unresolved challenges, as well as recommendations to ensure sustainable urban development whilst minimising any possible adverse health impacts.
Predicting vehicular emissions in high spatial resolution using pervasively measured transportation data and microscopic emissions model
Marguerite Nyhan,Stanislav Sobolevsky,Chaogui Kang,Prudence Robinson,Andrea Corti,Michael Szell,David G. Streets,Zifeng Lu,Rex Britter,Steven R. H. Barrett,Carlo Ratti +10 more
TL;DR: In this paper, a taxi fleet of over 15,000 vehicles was analyzed with the aim of predicting air pollution emissions for Singapore, and the results showed that highly localized areas of elevated emissions levels were identified, with a spatio-temporal precision not possible with previously used methods for estimating emissions.
References
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Journal ArticleDOI
Investigation of Low-Cost and Optical Particulate Matter Sensors for Ambient Monitoring
Mariusz Rogulski,Artur Badyda +1 more
TL;DR: In this paper, a long-term evaluation of low-cost particulate matter (PM) sensors in a field measurements campaign was performed in two phases, and the correction function was formulated based on this large set of lowcost PM10 measurements and referential values.
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Applicability of factory calibrated optical particle counters for high-density air quality monitoring networks in Ghana
TL;DR: This study provides a benchmark for future AQ and demonstrates the feasibility of the current generation of OPCs for AQ monitoring in environments typical of large parts of West and Sub Saharan Africa.
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A comparison of strategies for estimation of ultrafine particle number concentrations in urban air pollution monitoring networks
Matteo Reggente,Jan Peters,Jan Theunis,Martine Van Poppel,Michael Rademaker,Bernard De Baets,Prashant Kumar +6 more
TL;DR: UFP can be estimated with good accuracy based on NOx measurements at the same location; it is possible to estimate UFP at one location based on measurements of NOx or U FP at two remote locations; the addition of remote UFP to local NOx, O3 or CO measurements improves models' performance.
Journal ArticleDOI
Pollution management through internet of things: a substantial solution for society
TL;DR: The proposed framework is an IOT unit for handling these issues, including powerful use of the different sensor, to capture the estimations of various sorts of toxins in the earth and show insights on a site which can be gotten to by all clients for nothing.
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