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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.
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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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Estimating hourly PM2.5 concentrations at the neighborhood scale using a low-cost air sensor network: A Los Angeles case study.

TL;DR: In this article, an hourly, 500×500m gridded PM2.5 model that integrates PurpleAir low-cost air sensor network data for Los Angeles County is developed.
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Demonstration of a Low-Cost Multi-Pollutant Network to Quantify Intra-Urban Spatial Variations in Air Pollutant Source Impacts and to Evaluate Environmental Justice.

TL;DR: Differences in PM2.5 concentration within site groupings that have similar land use are highlighted, demonstrating the utility of a dense sensor network that captures temporospatial pollutant patterns that sparse regulatory networks cannot.
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CO2 emissions in Beijing: Sectoral linkages and demand drivers

TL;DR: In this article, the authors analyzed the economy-wide contribution of sectors and households to CO2 emissions in Beijing (China) by utilizing a semi-closed input-output model integrated with a modified hypothetical extraction method.
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A Spatial Survey of Environmental Indicators for Kazakhstan: An Examination of Current Conditions and Future Needs

TL;DR: The Republic of Kazakhstan, located in Central Asia, has experienced many years of environmental degradation, largely as a result of the poor management of its significant natural resources as mentioned in this paper, and data relating to different environmental factors are critically analyzed in order to understand the state of the environment.
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An overview of the development of vertical sampling technologies for ambient volatile organic compounds (VOCs).

TL;DR: This review summarizes the latest development of vertical VOC sampling technologies, highlighting the technical and non-technical challenges with possible solutions, future applications and future applications of horizontal VOC profiling technologies.
References
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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.
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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.
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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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