TY - JOUR
T1 - An evaluation tool kit of air quality micro-sensing units
AU - Fishbain, Barak
AU - Lerner, Uri
AU - Castell, Nuria
AU - Cole-Hunter, Tom
AU - Popoola, Olalekan
AU - Broday, David M.
AU - Martinez Iñiguez, Tania
AU - Nieuwenhuijsen, Mark
AU - Jovasevic-Stojanovic, Milena
AU - Topalovic, Dusan
AU - Jones, Roderic L.
AU - Galea, Karen S.
AU - FadiKizel, Yael Etziona
AU - Golumbic, Yaela N.
AU - Baram-Tsabari, Ayelet
AU - Yacobi, Tamar
AU - Drahler, Dana
AU - Robinson, Johanna A.
AU - Kocman, David
AU - Horvat, Milena
AU - Svecova, Vlasta
AU - Arpaci, Alexander
AU - Bartonova, Alena
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
KW - Air quality
KW - Environmental monitoring
KW - Micro sensing units
KW - Sensors performance
KW - Wireless distributed sensor network
UR - http://www.scopus.com/inward/record.url?scp=84995814985&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2016.09.061
DO - 10.1016/j.scitotenv.2016.09.061
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C2 - 27678046
AN - SCOPUS:84995814985
SN - 0048-9697
VL - 575
SP - 639
EP - 648
JO - Science of the Total Environment
JF - Science of the Total Environment
ER -
