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Open AccessJournal ArticleDOI

Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?

TLDR
An exhaustive evaluation of 24 identical units of a commercial low-cost sensor platform against CEN (European Standardization Organization) reference analyzers, evaluating their measurement capability over time and a range of environmental conditions shows that their performance varies spatially and temporally.
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This article is published in Environment International.The article was published on 2017-02-01 and is currently open access. It has received 607 citations till now. The article focuses on the topics: Data quality & Environmental exposure.

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Citations
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Journal ArticleDOI

A Multi-model Air Quality System for Health Research: Road model development and evaluation

TL;DR: In this article , a quasi-Gaussian road source dispersion model, ADMS-Local, was developed as a component for the Multi-model Air Quality System for Health Research (MAQS-Health).
Proceedings ArticleDOI

Implementation of Multi Sensor Network as Air Monitoring Using IoT Applications

TL;DR: An automatic air monitor by measuring the level of exhaust gas of a motorized vehicle that will be applied in the indoor parking area to provide information that is needed by people, especially whose will visit crowded places, to avoid air pollution.
Journal ArticleDOI

High spatial resolution IoT based air PM measurement system

TL;DR: In this paper, the authors developed an alternative particulate matter measurement system which is portable and low-cost (less than 200 USD) and also integrated with cloud computing, which allows real time distant monitoring of PM particles with high spatial resolution (meter range).
Journal ArticleDOI

Knowledge Transfer with Citizen Science: Luft-Leipzig Case Study

TL;DR: In this article, the Luft-Leipzig project results are presented to validate the four-element state-of-the-art method for citizen science for mitigating short-lived climate pollutants and improving air quality.
Journal ArticleDOI

Evaluating uncertainty in sensor networks for urban air pollution insights

TL;DR: In this article , the authors present results from a 2-year deployment of 100 stationary electrochemical NO2 sensors across Greater London as part of the Breathe London pilot project (BL), and evaluated sensor performance using collocations with reference instruments, estimating ∼ 35 % average uncertainty (root mean square error) in the calibrated sensors, and identified infrequent, multi-week periods of poorer performance and high bias during summer months.
References
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Journal ArticleDOI

Toxic Potential of Materials at the Nanolevel

TL;DR: The establishment of principles and test procedures to ensure safe manufacture and use of nanomaterials in the marketplace is urgently required and achievable.
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Respiratory effects are associated with the number of ultrafine particles.

TL;DR: The present study suggests that the size distribution of ambient particles helps to elucidate the properties of ambient aerosols responsible for health effects.
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The Changing Paradigm of Air Pollution Monitoring

TL;DR: Air pollution monitoring paradigm is rapidly changing due to recent advances in the development of portable, lower-cost air pollution sensors reporting data in near-real time at a high-time resolution, increased computational and visualization capabilities, and wireless communication/infrastructure.
Journal ArticleDOI

The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks

TL;DR: It is shown that miniature, low-cost electrochemical gas sensors can, when suitably configured and operated, be used for parts-per-billion level studies for gases relevant to urban air quality, and that measurement networks with higher resolution are required to quantify air quality at the scales which are present in the urban environment.
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