Data Fusion and Visualization of a Multi-Sensor Personal Exposure Campaign

Novak, Rok; Petridis, Ioannis; Kocman, David; Robinson, Johanna Amalia; Kanduč, Tjaša; Chapizanis, Dimitris; Karakitsios, S; Flückiger, Benjamin; Vienneau, Danielle; Mikeš, Ondřej; Degrendele, Céline; Sáňka, Ondřej; S, García Dos Santos-Alves; Maggos, Thomas; Pardali, Demetra; A, Stamatelopoulou; Saraga, Dikaia; Mg, Persico; Visave, Jaideep; Gotti, Alberto; Sarigiannis, D

doi:10.20944/preprints202109.0518.v1

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…Novak, R. et al [18] conducted a large study of over 600 participants across 7 European cities. This study involved collecting sensor data on local air quality and integrating this sensor data together to provide residents with a comprehensive view of the air quality in their local vicinity.…”

Section: A Multi-source Data Knowledge Graph Developmentmentioning

confidence: 99%

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Improving Tourism Analytics From Climate Data Using Knowledge Graphs

Pierse

Orlandi

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Climate change has been deemed to be one of the greatest challenges facing humans in the 21st century, with extreme weather events taking place more regularly than before. While the impact of climate change has been well documented in recent years across industries, the impact of climate change on the tourism economy is yet to be fully realised. This paper aims to apply a range of knowledge graph techniques to naturalistic data. Among these, weather data will be explored as one prospective way to enhance people's understanding of how climate and a country's tourism economy are related and how they interact. According to our exploration with the knowledge graph approach in organizing the climate and tourism data, the insights and knowledge gained from the knowledge graph are able to ultimately help improve the quality of life for people and the tourism industry of a country.

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Section: A Multi-source Data Knowledge Graph Developmentmentioning

confidence: 99%

“…In the studies [15], [18], [19], the challenge of resolving ambiguity when multiple sources provide different values for the same real-world entity is addressed. Solutions to this challenge in traditional databases have been utilized to resolve these data conflicts.…”

Section: A Multi-source Data Knowledge Graph Developmentmentioning

confidence: 99%

Improving Tourism Analytics From Climate Data Using Knowledge Graphs

Pierse

Orlandi

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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User-Centred Design of a Final Results Report for Participants in Multi-Sensor Personal Air Pollution Exposure Monitoring Campaigns

Robinson

Novak

Kanduč

et al. 2021

IJERPH

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Using low-cost portable air quality (AQ) monitoring devices is a growing trend in personal exposure studies, enabling a higher spatio-temporal resolution and identifying acute exposure to high concentrations. Comprehension of the results by participants is not guaranteed in exposure studies. However, information on personal exposure is multiplex, which calls for participant involvement in information design to maximise communication output and comprehension. This study describes and proposes a model of a user-centred design (UCD) approach for preparing a final report for participants involved in a multi-sensor personal exposure monitoring study performed in seven cities within the EU Horizon 2020 ICARUS project. Using a combination of human-centred design (HCD), human–information interaction (HII) and design thinking approaches, we iteratively included participants in the framing and design of the final report. User needs were mapped using a survey (n = 82), and feedback on the draft report was obtained from a focus group (n = 5). User requirements were assessed and validated using a post-campaign survey (n = 31). The UCD research was conducted amongst participants in Ljubljana, Slovenia, and the results report was distributed among the participating cities across Europe. The feedback made it clear that the final report was well-received and helped participants better understand the influence of individual behaviours on personal exposure to air pollution.

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Assessment of Individual-Level Exposure to Airborne Particulate Matter during Periods of Atmospheric Thermal Inversion

Novak

Robinson

Kanduč

et al. 2022

Sensors

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Air pollution exposure is harmful to human health and reducing it at the level of an individual requires measurements and assessments that capture the spatiotemporal variability of different microenvironments and the influence of specific activities. In this paper, activity-specific and general indoor and outdoor exposure during and after a period of high concentrations of particulate matter (PM), e.g., an atmospheric thermal inversion (ATI) in the Ljubljana subalpine basin, Slovenia, was assessed. To this end, personal particulate matter monitors (PPM) were used, worn by participants of the H2020 ICARUS sampling campaigns in spring 2019 who also recorded their hourly activities. ATI period(s) were determined based on data collected from two meteorological stations managed by the Slovenian Environmental Agency (SEA). Results showed that indoor and outdoor exposure to PM was significantly higher during the ATI period, and that the difference between mean indoor and outdoor exposure to PM was much higher during the ATI period (23.0 µg/m3) than after (6.5 µg/m3). Indoor activities generally were associated with smaller differences, with cooking and cleaning even having higher values in the post-ATI period. On the other hand, all outdoor activities had higher PM values during the ATI than after, with larger differences, mostly >30.0 µg/m3. Overall, this work demonstrated that an individual-level approach can provide better spatiotemporal resolution and evaluate the relative importance of specific high-exposure events, and in this way provide an ancillary tool for exposure assessments.

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Data Fusion and Visualization of a Multi-Sensor Personal Exposure Campaign

Cited by 4 publications

References 29 publications

Improving Tourism Analytics From Climate Data Using Knowledge Graphs

Improving Tourism Analytics From Climate Data Using Knowledge Graphs

User-Centred Design of a Final Results Report for Participants in Multi-Sensor Personal Air Pollution Exposure Monitoring Campaigns

Assessment of Individual-Level Exposure to Airborne Particulate Matter during Periods of Atmospheric Thermal Inversion

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