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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Journal ArticleDOI
Data Verification Tools for Minimizing Management Costs of Dense Air-Quality Monitoring Networks.
Georgia Miskell,Jennifer Salmond,Maryam Alavi-Shoshtari,M. Bart,Bruce Ainslie,Stuart K. Grange,Ian G. McKendry,Geoff S. Henshaw,David E. Williams +8 more
TL;DR: By analyzing results of a study of an extensive deployment of low-cost instruments in the Lower Fraser Valley, it is demonstrated that proxies can be established using land-use criteria and that simple statistical comparisons can identify low- cost instruments that are not stable and therefore need replacing.
Proceedings ArticleDOI
SmartAQnet: remote and in-situ sensing of urban air quality
Matthias Budde,Till Riedel,Michael Beigl,Klaus Schäfer,Stefan Emeis,Josef Cyrys,Jürgen Schnelle-Kreis,Andreas Philipp,Volker Ziegler,Hans Grimm,Thomas Gratza +10 more
TL;DR: The project “SmartAQnet”, funded by the German Federal Ministry of Transport and Digital Infrastructure (BMVI), is based on a pragmatic, data driven approach, which for the first time combines existing data sets with a networked mobile measurement strategy in the urban space.
Journal ArticleDOI
Highly sensitive and on-site NO2 SERS sensors operated under ambient conditions
TL;DR: A high-performance, on-site, rapid NO2 gas sensor that could be operated under ambient conditions by combining a highly sensitive 3D porous SERS substrate and a handheld Raman spectrometer is developed.
Journal ArticleDOI
Spatial modelling of particulate matter air pollution sensor measurements collected by community scientists while cycling, land use regression with spatial cross-validation, and applications of machine learning for data correction
TL;DR: In this article, a machine learning model was developed to adjust the sensor observations, which demonstrated their highest errors during periods of high humidity, and the mean bias was reduced to −0.5μg/m3.
Journal ArticleDOI
Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System.
Kemal Maulana Alhasa,Mohd Shahrul Mohd Nadzir,Popoola Olalekan,Mohd Talib Latif,Yusri Yusup,Mohammad Rashed Iqbal Faruque,Fatimah Ahamad,Haris Hafizal Abd Hamid,Kadaruddin Aiyub,Sawal Hamid Md Ali,Firoz Khan,Azizan Abu Samah,Imran Yusuff,Murnira Othman,Tengku Mohd Farid Tengku Hassim,Nor Eliani Ezani +15 more
TL;DR: DiracSense, a custom-made LAQS that monitors the gas pollutants ozone (O3), nitrogen dioxide (NO2), and carbon monoxide (CO) is presented and its performance is investigated based on laboratory calibration and field experiments to suggest that the ANFIS model is promising as a calibration tool since it has the capability to improve the accuracy and performance of the low-cost electrochemical sensor.
References
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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.
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.
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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.