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
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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A Novel Composite Index to Measure Environmental Benefits in Urban Land Use Optimization Problems
TL;DR: In this paper , the authors proposed a composite environmental benefits index (EBI) to quantify environmental benefits in urban land use allocation problems using an ordered weighted averaging (OWA) method.
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Spatial-temporal Variation and Local Source Identification of Air Pollutants in a Semi-urban Settlement in Nigeria Using Low-cost Sensors
O. K. Owoade,Pelumi O. Abiodun,Opeyemi R. Omokungbe,Olusegun G. Fawole,Olusegun G. Fawole,Felix S. Olise,Olalekan O.M. Popoola,Roderic L. Jones,Philip K. Hopke,Philip K. Hopke +9 more
TL;DR: In this paper, low-cost sensors were deployed at five locations in a growing, semi-urban settlement in southwest Nigeria between June 8 and July 31, 2018 to measure particulate matter (PM2.5 and PM10), gaseous pollutants (CO, NO, NO2, O3 and CO2), and meteorological variables (air temperature, relative humidity, wind speed and wind-direction).
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Building Low-Cost Sensing Infrastructure for Air Quality Monitoring in Urban Areas Based on Fog Computing
TL;DR: The proposed tiered architectural solution based on the adopted fog computing model is capable of handling the processing requirements of a large-scale application, while at the same time sustaining real-time performance.
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Using crowd-sourced low-cost sensors in a land use regression of PM2.5 in 6 US cities
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Development of a low-cost measuring system for the monitoring of environmental parameters that affect air quality for human health
TL;DR: The proposed system is a prototype in the initial phase, so only the operational capabilities of the system were evaluated, the response of the sensors to step-type inputs and the measurement of background concentrations in urban interior environments.
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