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The rise of low-cost sensing for managing air pollution in cities

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.

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Citations
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Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone?

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

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Journal ArticleDOI

Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art

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Ultrafine particles in cities

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Predicting vehicular emissions in high spatial resolution using pervasively measured transportation data and microscopic emissions model

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

Nonstationary spatiotemporal Bayesian data fusion for pollutants in the near‐road environment

TL;DR: In this paper, a non-stationary Bayesian data fusion model was proposed to predict pollutant concentrations in the near-road environment, where covariates were used as the driving force behind the nonstationary behavior of the covariance function.
Journal ArticleDOI

Spatial-temporal Variation and Local Source Identification of Air Pollutants in a Semi-urban Settlement in Nigeria Using Low-cost Sensors

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).
Proceedings ArticleDOI

Comparison of satellite remote sensing data in the retrieve of PM10 air pollutant over Quito, Ecuador

TL;DR: In this paper, the authors compared the use of three different satellite sensors (Landsat-7 ETM+, Landsat-8 OLI and TERRA/MODIS) between 2013 to 2017.
Dissertation

Improving data quality for low-cost environmental sensors

Xinwei Fang
TL;DR: The results show the data quality in terms of general accuracy against the reference instruments can be significantly improved, especially for sensors at roadside.
Proceedings ArticleDOI

Laboratory Evaluation and Calibration of Low-Cost Sensors for Air Quality Measurement

TL;DR: This paper aims to investigate the feasibility of using low-cost air pollution sensors to build a personal air quality monitor, someone can use daily as a wearable device.
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