Literature DB >> 27678046

An evaluation tool kit of air quality micro-sensing units.

Barak Fishbain1, Uri Lerner2, Nuria Castell3, Tom Cole-Hunter4, Olalekan Popoola5, David M Broday2, Tania Martinez Iñiguez4, Mark Nieuwenhuijsen6, Milena Jovasevic-Stojanovic7, Dusan Topalovic8, Roderic L Jones5, Karen S Galea9, Yael Etzion2, Fadi Kizel2, Yaela N Golumbic10, Ayelet Baram-Tsabari11, Tamar Yacobi2, Dana Drahler2, Johanna A Robinson12, David Kocman13, Milena Horvat13, Vlasta Svecova14, Alexander Arpaci15, Alena Bartonova3.   

Abstract

Recent developments in sensory and communication technologies have made the development of portable air-quality (AQ) micro-sensing units (MSUs) feasible. These MSUs allow AQ measurements in many new applications, such as ambulatory exposure analyses and citizen science. Typically, the performance of these devices is assessed using the mean error or correlation coefficients with respect to a laboratory equipment. However, these criteria do not represent how such sensors perform outside of laboratory conditions in large-scale field applications, and do not cover all aspects of possible differences in performance between the sensor-based and standardized equipment, or changes in performance over time. This paper presents a comprehensive Sensor Evaluation Toolbox (SET) for evaluating AQ MSUs by a range of criteria, to better assess their performance in varied applications and environments. Within the SET are included four new schemes for evaluating sensors' capability to: locate pollution sources; represent the pollution level on a coarse scale; capture the high temporal variability of the observed pollutant and their reliability. Each of the evaluation criteria allows for assessing sensors' performance in a different way, together constituting a holistic evaluation of the suitability and usability of the sensors in a wide range of applications. Application of the SET on measurements acquired by 25 MSUs deployed in eight cities across Europe showed that the suggested schemes facilitates a comprehensive cross platform analysis that can be used to determine and compare the sensors' performance. The SET was implemented in R and the code is available on the first author's website.
Copyright © 2016 Elsevier B.V. All rights reserved.

Keywords:  Air quality; Environmental monitoring; Micro sensing units; Sensors performance; Wireless distributed sensor network

Year:  2016        PMID: 27678046     DOI: 10.1016/j.scitotenv.2016.09.061

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  13 in total

Review 1.  Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone?

Authors:  Lidia Morawska; Phong K Thai; Xiaoting Liu; Akwasi Asumadu-Sakyi; Godwin Ayoko; Alena Bartonova; Andrea Bedini; Fahe Chai; Bryce Christensen; Matthew Dunbabin; Jian Gao; Gayle S W Hagler; Rohan Jayaratne; Prashant Kumar; Alexis K H Lau; Peter K K Louie; Mandana Mazaheri; Zhi Ning; Nunzio Motta; Ben Mullins; Md Mahmudur Rahman; Zoran Ristovski; Mahnaz Shafiei; Dian Tjondronegoro; Dane Westerdahl; Ron Williams
Journal:  Environ Int       Date:  2018-04-26       Impact factor: 9.621

2.  Information Theory Solution Approach to the Air Pollution Sensor Location-Allocation Problem.

Authors:  Ziv Mano; Shai Kendler; Barak Fishbain
Journal:  Sensors (Basel)       Date:  2022-05-17       Impact factor: 3.847

Review 3.  Towards Personal Exposures: How Technology Is Changing Air Pollution and Health Research.

Authors:  A Larkin; P Hystad
Journal:  Curr Environ Health Rep       Date:  2017-12

4.  Interpreting Mobile and Handheld Air Sensor Readings in Relation to Air Quality Standards and Health Effect Reference Values: Tackling the Challenges.

Authors:  George M Woodall; Mark D Hoover; Ronald Williams; Kristen Benedict; Martin Harper; Jhy-Charm Soo; Annie M Jarabek; Michael J Stewart; James S Brown; Janis E Hulla; Motria Caudill; Andrea L Clements; Amanda Kaufman; Alison J Parker; Martha Keating; David Balshaw; Kevin Garrahan; Laureen Burton; Sheila Batka; Vijay S Limaye; Pertti J Hakkinen; Bob Thompson
Journal:  Atmosphere (Basel)       Date:  2017-09-21       Impact factor: 2.686

Review 5.  Miniaturized Monitors for Assessment of Exposure to Air Pollutants: A Review.

Authors:  Francesca Borghi; Andrea Spinazzè; Sabrina Rovelli; Davide Campagnolo; Luca Del Buono; Andrea Cattaneo; Domenico M Cavallo
Journal:  Int J Environ Res Public Health       Date:  2017-08-12       Impact factor: 3.390

6.  End-User Feedback on a Low-Cost Portable Air Quality Sensor System-Are We There Yet?

Authors:  Johanna Amalia Robinson; David Kocman; Milena Horvat; Alena Bartonova
Journal:  Sensors (Basel)       Date:  2018-11-04       Impact factor: 3.576

7.  City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices.

Authors:  Steven J Johnston; Philip J Basford; Florentin M J Bulot; Mihaela Apetroaie-Cristea; Natasha H C Easton; Charlie Davenport; Gavin L Foster; Matthew Loxham; Andrew K R Morris; Simon J Cox
Journal:  Sensors (Basel)       Date:  2019-01-08       Impact factor: 3.576

Review 8.  Features and Practicability of the Next-Generation Sensors and Monitors for Exposure Assessment to Airborne Pollutants: A Systematic Review.

Authors:  Giacomo Fanti; Francesca Borghi; Andrea Spinazzè; Sabrina Rovelli; Davide Campagnolo; Marta Keller; Andrea Cattaneo; Emanuele Cauda; Domenico Maria Cavallo
Journal:  Sensors (Basel)       Date:  2021-06-30       Impact factor: 3.576

9.  Wireless Distributed Environmental Sensor Networks for Air Pollution Measurement-The Promise and the Current Reality.

Authors:  David M Broday
Journal:  Sensors (Basel)       Date:  2017-10-02       Impact factor: 3.576

10.  Comparing Airborne Particulate Matter Intake Dose Assessment Models Using Low-Cost Portable Sensor Data.

Authors:  Rok Novak; David Kocman; Johanna Amalia Robinson; Tjaša Kanduč; Dimosthenis Sarigiannis; Milena Horvat
Journal:  Sensors (Basel)       Date:  2020-03-04       Impact factor: 3.576

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