An evaluation tool kit of air quality micro-sensing units
Authorized Users Only
2017
Authors
Fishbain, BarakLerner, Uri
Castell, Nuria
Cole-Hunter, Tom
Popoola, Olalekan
Broday, David M.
Martinez Iniguez, Tania
Nieuwenhuijsen, Mark
Jovašević-Stojanović, Milena
Topalović, Dušan
Jones, Roderic L.
Galea, Karen S.
Etzion, Yael
Kizel, Fadi
Golumbic, Yaela N.
Baram-Tsabari, Ayelet
Yacobi, Tamar
Drahler, Dana
Robinson, Johanna A.
Kocman, David
Horvat, Milena
Svecova, Vlasta
Arpaci, Alexander
Bartonova, Alena
Article (Published version)
,
© 2016 Elsevier B.V.
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Show full item recordAbstract
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 s...ources; 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 25MSUs 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 authors website. (C) 2016 Elsevier B.V. All rights reserved.
Keywords:
Air quality / Environmental monitoring / Micro sensing units / Wireless distributed sensor network / Sensors performanceSource:
Science of the Total Environment, 2017, 575, 639-648Funding / projects:
- Development of sensor-based Citizens' Observatory Community for improving quality of life in cities (EU-FP7-308524)
DOI: 10.1016/j.scitotenv.2016.09.061
ISSN: 0048-9697; 1879-1026
PubMed: 27678046
WoS: 000390373400064
Scopus: 2-s2.0-84995814985
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VinčaTY - JOUR AU - Fishbain, Barak AU - Lerner, Uri AU - Castell, Nuria AU - Cole-Hunter, Tom AU - Popoola, Olalekan AU - Broday, David M. AU - Martinez Iniguez, Tania AU - Nieuwenhuijsen, Mark AU - Jovašević-Stojanović, Milena AU - Topalović, Dušan AU - Jones, Roderic L. AU - Galea, Karen S. AU - Etzion, Yael AU - Kizel, Fadi 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 PY - 2017 UR - https://vinar.vin.bg.ac.rs/handle/123456789/1343 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 25MSUs 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 authors website. (C) 2016 Elsevier B.V. All rights reserved. T2 - Science of the Total Environment T1 - An evaluation tool kit of air quality micro-sensing units VL - 575 SP - 639 EP - 648 DO - 10.1016/j.scitotenv.2016.09.061 ER -
@article{ author = "Fishbain, Barak and Lerner, Uri and Castell, Nuria and Cole-Hunter, Tom and Popoola, Olalekan and Broday, David M. and Martinez Iniguez, Tania and Nieuwenhuijsen, Mark and Jovašević-Stojanović, Milena and Topalović, Dušan and Jones, Roderic L. and Galea, Karen S. and Etzion, Yael and Kizel, Fadi and Golumbic, Yaela N. and Baram-Tsabari, Ayelet and Yacobi, Tamar and Drahler, Dana and Robinson, Johanna A. and Kocman, David and Horvat, Milena and Svecova, Vlasta and Arpaci, Alexander and Bartonova, Alena", year = "2017", 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 25MSUs 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 authors website. (C) 2016 Elsevier B.V. All rights reserved.", journal = "Science of the Total Environment", title = "An evaluation tool kit of air quality micro-sensing units", volume = "575", pages = "639-648", doi = "10.1016/j.scitotenv.2016.09.061" }
Fishbain, B., Lerner, U., Castell, N., Cole-Hunter, T., Popoola, O., Broday, D. M., Martinez Iniguez, T., Nieuwenhuijsen, M., Jovašević-Stojanović, M., Topalović, D., Jones, R. L., Galea, K. S., Etzion, Y., Kizel, F., Golumbic, Y. N., Baram-Tsabari, A., Yacobi, T., Drahler, D., Robinson, J. A., Kocman, D., Horvat, M., Svecova, V., Arpaci, A.,& Bartonova, A.. (2017). An evaluation tool kit of air quality micro-sensing units. in Science of the Total Environment, 575, 639-648. https://doi.org/10.1016/j.scitotenv.2016.09.061
Fishbain B, Lerner U, Castell N, Cole-Hunter T, Popoola O, Broday DM, Martinez Iniguez T, Nieuwenhuijsen M, Jovašević-Stojanović M, Topalović D, Jones RL, Galea KS, Etzion Y, Kizel F, Golumbic YN, Baram-Tsabari A, Yacobi T, Drahler D, Robinson JA, Kocman D, Horvat M, Svecova V, Arpaci A, Bartonova A. An evaluation tool kit of air quality micro-sensing units. in Science of the Total Environment. 2017;575:639-648. doi:10.1016/j.scitotenv.2016.09.061 .
Fishbain, Barak, Lerner, Uri, Castell, Nuria, Cole-Hunter, Tom, Popoola, Olalekan, Broday, David M., Martinez Iniguez, Tania, Nieuwenhuijsen, Mark, Jovašević-Stojanović, Milena, Topalović, Dušan, Jones, Roderic L., Galea, Karen S., Etzion, Yael, Kizel, Fadi, Golumbic, Yaela N., Baram-Tsabari, Ayelet, Yacobi, Tamar, Drahler, Dana, Robinson, Johanna A., Kocman, David, Horvat, Milena, Svecova, Vlasta, Arpaci, Alexander, Bartonova, Alena, "An evaluation tool kit of air quality micro-sensing units" in Science of the Total Environment, 575 (2017):639-648, https://doi.org/10.1016/j.scitotenv.2016.09.061 . .