Monitoring Industrial Zone Activities Through Wavelet Analysis of Air Quality Time Series Data

One significant element brought about by the Busi-ness Continuity Management System (BCMS) is the operation and maintenance of processes, capabilities, and response struc-tures that allow an organization to overcome interruptions. The outbreak of COVID-19 necessitated a forced change in this system structure. In this study, Rojana Industrial Park in Phra N akhon Si Ayutthaya Province, Thailand was chosen for a study site where the authors have been conducting ongoing research, to understand changes in industrial park activities affected by the pandemic. Wavelet analysis was employed to capture the time series change patterns of atmospheric composition. This approach aims to identify the altered realities of how BCMS adapts to rapid situational changes from a new perspective which is air quality. Comparing the concentration changes of NO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> and PM2.5 between pre-pandemic 2019 and post-pandemic 2021 onward, no significant changes were observed in the relatively short-term industrial park activities ranging from a few days to a week; low coherence in high-frequent change of air quality. In contrast, significant changes were confirmed in the long-term concentration change patterns over 16 days or more; high coherence in low-frequency. This suggests that industrial park activities, including production activities and the movement of people and goods related to these activities, may have changed before and after the pandemic.

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Publication Details

Published
2024-09-23
DOI
https://doi.org/10.1109/iscit63075.2024.10793691
Primary Topic
Remote Sensing and Land Use
Type
article
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article

Monitoring Industrial Zone Activities Through Wavelet Analysis of Air Quality Time Series Data

Akira Kodaka, Natt Leelawat, Naohiko Kohtake
Remote Sensing and Land Use
article

Monitoring Industrial Zone Activities Through Wavelet Analysis of Air Quality Time Series Data

Akira Kodaka, Natt Leelawat, Naohiko Kohtake
article en

Abstract

One significant element brought about by the Busi-ness Continuity Management System (BCMS) is the operation and maintenance of processes, capabilities, and response struc-tures that allow an organization to overcome interruptions. The outbreak of COVID-19 necessitated a forced change in this system structure. In this study, Rojana Industrial Park in Phra N akhon Si Ayutthaya Province, Thailand was chosen for a study site where the authors have been conducting ongoing research, to understand changes in industrial park activities affected by the pandemic. Wavelet analysis was employed to capture the time series change patterns of atmospheric composition. This approach aims to identify the altered realities of how BCMS adapts to rapid situational changes from a new perspective which is air quality. Comparing the concentration changes of NO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> and PM2.5 between pre-pandemic 2019 and post-pandemic 2021 onward, no significant changes were observed in the relatively short-term industrial park activities ranging from a few days to a week; low coherence in high-frequent change of air quality. In contrast, significant changes were confirmed in the long-term concentration change patterns over 16 days or more; high coherence in low-frequency. This suggests that industrial park activities, including production activities and the movement of people and goods related to these activities, may have changed before and after the pandemic.

Chulalongkorn University (TH), Keio University (JP)
Openalex Percentile: Top 74%
Remote Sensing and Land Use
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