Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign

Rok Novak, Ioannis Petridis, David Kocman, Johanna Amalia Robinson, Tjaša Kanduč, Dimitris Chapizanis, Spyros Karakitsios, Benjamin Flückiger, Danielle Vienneau, Ondřej Mikeš, Céline Degrendele, Ondřej Sáňka, Saul García Dos Santos-Alves, Thomas Maggos, Demetra Pardali, Asimina Stamatelopoulou, Dikaia Saraga, Marco Giovanni Persico, Jaideep Visave, Alberto Gotti and Dimosthenis Sarigiannis
Additional contact information
Rok Novak: Department of Environmental Sciences, Jožef Stefan Institute, 1000 Ljubljana, Slovenia
Ioannis Petridis: Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
David Kocman: Department of Environmental Sciences, Jožef Stefan Institute, 1000 Ljubljana, Slovenia
Johanna Amalia Robinson: Department of Environmental Sciences, Jožef Stefan Institute, 1000 Ljubljana, Slovenia
Tjaša Kanduč: Department of Environmental Sciences, Jožef Stefan Institute, 1000 Ljubljana, Slovenia
Dimitris Chapizanis: Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Spyros Karakitsios: Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Benjamin Flückiger: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, CH-4051 Basel, Switzerland
Danielle Vienneau: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, CH-4051 Basel, Switzerland
Ondřej Mikeš: RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic
Céline Degrendele: RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic
Ondřej Sáňka: RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic
Saul García Dos Santos-Alves: Department of Atmospheric Pollution, National Environmental Health Centre, Institute of Health Carlos III, 28220 Madrid, Spain
Thomas Maggos: Atmospheric Chemistry and Innovative Technologies Laboratory, INRASTES, NCSR “Demokritos”, Aghia Paraskevi, 15310 Athens, Greece
Demetra Pardali: Atmospheric Chemistry and Innovative Technologies Laboratory, INRASTES, NCSR “Demokritos”, Aghia Paraskevi, 15310 Athens, Greece
Asimina Stamatelopoulou: Atmospheric Chemistry and Innovative Technologies Laboratory, INRASTES, NCSR “Demokritos”, Aghia Paraskevi, 15310 Athens, Greece
Dikaia Saraga: Atmospheric Chemistry and Innovative Technologies Laboratory, INRASTES, NCSR “Demokritos”, Aghia Paraskevi, 15310 Athens, Greece
Marco Giovanni Persico: Department of Science, Technology and Society, University School of Advanced Study IUSS, 27100 Pavia, Italy
Jaideep Visave: Department of Science, Technology and Society, University School of Advanced Study IUSS, 27100 Pavia, Italy
Alberto Gotti: Eucentre Foundation, Via A. Ferrata, 1, 27100 Pavia, Italy
Dimosthenis Sarigiannis: Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

IJERPH, 2021, vol. 18, issue 21, 1-18

Abstract: Use of a multi-sensor approach can provide citizens with holistic insights into the air quality of their immediate surroundings and their personal exposure to urban stressors. Our work, as part of the ICARUS H2020 project, which included over 600 participants from seven European cities, discusses the data fusion and harmonization of a diverse set of multi-sensor data streams to provide a comprehensive and understandable report for participants. Harmonizing the data streams identified issues with the sensor devices and protocols, such as non-uniform timestamps, data gaps, difficult data retrieval from commercial devices, and coarse activity data logging. Our process of data fusion and harmonization allowed us to automate visualizations and reports, and consequently provide each participant with a detailed individualized report. Results showed that a key solution was to streamline the code and speed up the process, which necessitated certain compromises in visualizing the data. A thought-out process of data fusion and harmonization of a diverse set of multi-sensor data streams considerably improved the quality and quantity of distilled data that a research participant received. Though automation considerably accelerated the production of the reports, manual and structured double checks are strongly recommended.

Keywords: data fusion; multi-sensor; data visualization; data treatment; participant reports; air quality; exposure assessment (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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