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Open AccessJournal ArticleDOI

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

TLDR
The drivers behind current rises in the use of low-cost sensors for air pollution management in cities are illustrated, while addressing the major challenges for their effective implementation.
About
This article is published in Environment International.The article was published on 2015-02-01 and is currently open access. It has received 591 citations till now. The article focuses on the topics: Pollution.

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Low-cost sensors for measuring airborne particulate matter: Field evaluation and calibration at a South-Eastern European site

TL;DR: A calibration process of a low-cost PM sensor (PurpleAir PA-II, PAir) in ambient conditions in the city of Patras, Greece, during 18 months of 2017-2018 is presented.
Journal ArticleDOI

A New Black Carbon Sensor for Dense Air Quality Monitoring Networks.

TL;DR: A new BC sensor designed to fill this gap is presented, the Aerosol Black Carbon Detector (ABCD), which incorporates a compact weatherproof enclosure, solar-powered rechargeable battery, and cellular communication to enable long-term, remote operation.
Journal ArticleDOI

NOx removal efficiency of urban photocatalytic pavements at pilot scale.

TL;DR: It was found that the NO2 removal efficiency presented large variations across the seasons, with maxima during the warmer months, while NO efficiencies were comparatively steadier, and statistical analysis delivered evidence that the efficiencies significantly depend on different meteorological variables (irradiance and relative humidity) besides NO, NO2 ambient concentrations.
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PRAISE-HK: A personalized real-time air quality informatics system for citizen participation in exposure and health risk management

TL;DR: PRAISE-HK as discussed by the authors is based on real-time data on emissions, high resolution urban morphology, meteorology, physical and chemical processes affecting pollutant transport and transformations, and extensive measurements of air pollution concentrations in typical locations such as homes, schools, offices, and transportation, and big data integration of sensor monitoring to accurately estimate current and short-term forecasted street-level air quality.
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Mapping do-it-yourself science.

TL;DR: It is concluded that each and every conceptualisation of DIY science cannot stand independently from the situatedness of its multiple contexts, therefore making its usage in policy making and governance particularly complex.
References
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Journal ArticleDOI

A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010

Stephen S Lim, +210 more
- 15 Dec 2012 - 
TL;DR: In this paper, the authors estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010.
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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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Sensor networks: evolution, opportunities, and challenges

TL;DR: The history of research in sensor networks over the past three decades is traced, including two important programs of the Defense Advanced Research Projects Agency (DARPA) spanning this period: the Distributed Sensor Networks (DSN) and the Sensor Information Technology (SensIT) programs.
Journal ArticleDOI

A survey of mobile phone sensing

TL;DR: This article surveys existing mobile phone sensing algorithms, applications, and systems, and discusses the emerging sensing paradigms, and formulates an architectural framework for discussing a number of the open issues and challenges emerging in the new area ofMobile phone sensing research.
Journal ArticleDOI

Conduction Model of Metal Oxide Gas Sensors

TL;DR: In this article, the authors provide a frame model that deals with all contributions involved in conduction within a real world sensor, and then summarize the contributions together with their interactions in a general applicable model for real world gas sensors.
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