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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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How Sensors Might Help Define the External Exposome

TL;DR: This work discusses possibilities and lays out several criteria for using smart technologies for external exposome studies, and improves the collection of long term exposure factor data, which can be combined with more “traditional” measurement data to model exposures to numerous environmental factors.
Journal Article

Real-time sensors for indoor air monitoring and challenges ahead in deploying them to urban buildings

TL;DR: Forouzanfar et al. as discussed by the authors provide a review of the new air pollution sensing methods to determine indoor air quality and discuss how real-time sensing could bring a paradigm shift in controlling the concentration of key air pollutants in billions of urban houses worldwide.
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Assessing Mobility-Based Real-Time Air Pollution Exposure in Space and Time Using Smart Sensors and GPS Trajectories in Beijing

TL;DR: Using real-time data from portable air pollutant sensors and smartphone Global Positioning System trajectories collected in Beijing, China, the authors demonstrates how smart technologies and indivi...
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Environmental Effects of Electromobility in a Sustainable Urban Public Transport

TL;DR: In this paper, the influence of the implementation of electromobility assumptions on reduction of air pollution in cities in terms of sustainable urban transport systems was taken up, where the authors showed that public transport, apart from the obvious effect of decreased number of private vehicles and decreased congestion, can contribute to reduced air pollutant emissions and become a significant driver for the implementation in cities.
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Spatially dense air pollutant sampling: Implications of spatial variability on the representativeness of stationary air pollutant monitors

TL;DR: In this paper, the authors measured NO2, ultrafine particle concentration (UFP), and PM1 with both stationary and mobile platforms in Pittsburgh, PA in 2016 and 2017.
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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