The rise of low-cost sensing for managing air pollution in cities.
Prashant Kumar,Lidia Morawska,Claudio Martani,George Biskos,George Biskos,George Biskos,Marina Neophytou,Silvana Di Sabatino,Margaret Bell,Leslie Norford,Rex Britter +10 more
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.read more
Citations
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Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications
Priyanka deSouza,Ralph A. Kahn,James A. Limbacher,Eloise A. Marais,Eloise A. Marais,Fábio Duarte,Fábio Duarte,Carlo Ratti +7 more
TL;DR: In this article, a new method using raw aerosol size distributions from multiple, surface-based low-cost optical particle counters (OPCs) to calibrate the Multi-angle Imaging SpectroRadiometer (MISR) component-specific, column aerosol optical depth (AOD) data, that contain some particle-size-resolved information was developed.
Journal ArticleDOI
Long-term evaluation and calibration of three types of low-cost PM2.5 sensors at different air quality monitoring stations
Gung Hwa Hong,Thi Cuc Le,Jing Wei Tu,Chieh Wang,Shuenn Chin Chang,Shuenn Chin Chang,Jhih Yuan Yu,Guan Yu Lin,Shankar G. Aggarwal,Chuen Jinn Tsai +9 more
TL;DR: In this article, the performance of low-cost PM2.5 sensors and developed calibration models for correcting for the PM 2.5 sensor data (PM2,S) were evaluated based on Met One BAM-1020 data at various locations using long-term (≥one year) data of Plantower PMS5003, Sensirion SPS30, and Honeywell HPMA115S0 PM25 sensors at all monitoring locations.
Journal ArticleDOI
Development of a low-cost sensing platform for air quality monitoring: application in the city of Rome
TL;DR: LILI-1, a prototype of a low-cost air quality platform, allows measuring meteoclimatic parameters and concentrations of principal air quality pollutants by means of electrochemical and optical sensors and shows its ability to increment spatial resolution and obtain distributed data throughout the city.
Journal ArticleDOI
Deep-MAPS: Machine-Learning-Based Mobile Air Pollution Sensing
TL;DR: A machine-learning-based mobile air pollution sensing framework, coined Deep-MAPS, is proposed that can save up to 90% hardware investment, compared with ubiquitous sensing that relies primarily on fixed sensors.
Journal ArticleDOI
The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS): Integration of Low-Cost Sensors and Reference Grade Monitoring in a Complex Metropolitan Area. Part 1: Overview of the Project.
Sue Kimbrough,Stephen Krabbe,Richard Baldauf,Timothy M. Barzyk,Matthew Brown,Steven Brown,Carry Croghan,Michael Davis,Parikshit Deshmukh,Rachelle M. Duvall,Stephen Feinberg,Vlad Isakov,Russell Logan,Tim McArthur,Amy R. Shields +14 more
TL;DR: The KC-TRAQS overview and preliminary data analysis presented will provide a framework for forthcoming papers that will further characterize emission source attributions and estimate near-source exposures and ultimately inform and clarify the extent and impact of air pollutants in the Kansas City area.
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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
Chee-Yee Chong,Sanjeev Kumar +1 more
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
Nicholas D. Lane,Emiliano Miluzzo,Hong Lu,Daniel Peebles,Tanzeem Choudhury,Andrew T. Campbell +5 more
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
Nicolae Barsan,Udo Weimar +1 more
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.