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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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Citations
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Journal ArticleDOI

Self-Portraits of Personal Exposure to Air Pollution: on where and when People Are Exposed, and on why it Is Difficult to Avoid

TL;DR: In this article, the authors discuss personal exposure to air pollution through an analysis of the space-time trajectories of seven Brussels residents through an activity-based model, examining how much, when, and where the subjects are exposed to PM2.5 during a typical week.
Journal ArticleDOI

Fine particulate matter exposure in four transport modes of Greater Cairo.

TL;DR: In this paper, the authors quantified PM2.5 exposure during peak hours in four transport modes of Greater Cairo -car (windows-open, windows-closed with recirculation and AC-on), microbus, cycling and walking -and understand its underlying drivers.
Book ChapterDOI

On the Regression and Assimilation for Air Quality Mapping Using Dense Low-Cost WSN

TL;DR: The results show that from a given sensing error threshold, regression methods present an optimal sensor density from which the mapping quality decreases, and the Random Forest method is often the best regression approach but still less efficient than the BLUE assimilation approach when using adequate correction parameters.
Journal ArticleDOI

Sensor network for PM2.5 measurements on an academic campus area

TL;DR: In this paper, the authors present a sensor network for campus area of Wroclaw University of Science and Technology, consisting of 20 sensor nodes, distributed both on a narrow scale (14 devices on the main campus area) and on a wide scale (devices on campuses in distant parts of the city).
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).
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.
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.
Journal ArticleDOI

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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