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
Reads0
Chats0
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
More filters
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
More filters
Journal ArticleDOI
The Potential of Commercial Sensors for Spatially Dense Short-term Air Quality Monitoring Based on Multiple Short-term Evaluations of 30 Sensor Nodes in Urban Areas in Korea
Ho-Seon Park,Ra-Eun Kim,Yongmi Park,Kyu-Cheol Hwang,Seung-Hyun Lee,Jae-Jin Kim,Jin-Young Choi,Dae-Gyun Lee,Lim-Seok Chang,Wonsik Choi +9 more
TL;DR: In this article, the authors assessed the potential of low-cost sensors for spatially dense air quality monitoring and found that commercially available sensors possess great potential as monitors for short-term air quality studies in urban areas, at least for one-month periods, given that the self-consistency among the 30 sensors was high (R2 < 0.93), and the consistency between the sensors and the FRM/FEM instruments was reasonably high.
Book ChapterDOI
Low-Cost Energy-Efficient Air Quality Monitoring System Using Wireless Sensor Network
TL;DR: The objective of this chapter is to describe the implementation of a low-cost and energy-efficient air quality monitoring system using wireless sensor network (WSN) that can be easily deployed in highly polluted areas of Mauritius.
Journal ArticleDOI
Efficacy of Paired Electrochemical Sensors for Measuring Ozone Concentrations
Christopher Zuidema,Nima Afshar-Mohajer,Marcus Tatum,Geb Thomas,Thomas M. Peters,Kirsten Koehler +5 more
TL;DR: The results suggest that paired NO2-B43F and OX-B431 sensors permit quantification of NO2 and O3 in mixture, but that O3 concentration estimates are less accurate and precise than those for NO2.
Journal ArticleDOI
Validation and application of a novel solution for environmental monitoring: A three months study at "Minerva Medica" archaeological site in Rome
TL;DR: In this paper, the authors proposed a measuring unit based on an ATmega328P microcontroller, gathering signals from: a 9-axis MIMU; a sensor for temperature and relative humidity; and three gas detection miniature boards (NO, NO2 and SO2).
Proceedings ArticleDOI
Guiding the Data Learning Process with Physical Model in Air Pollution Inference
TL;DR: A hybrid algorithm for air pollution inference by guiding the data learning process with physical model is presented, and the quantitative combination of knowledge from observed dataset and a discretized convective-diffusion model is performed within a multi-task learning scheme.
Related Papers (5)
A Review on Air Quality Measurement Using an Unmanned Aerial Vehicle
Vinit Lambey,A. D. Prasad +1 more