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Poster: Unveiling Urban Emissions from Bangkok Air Monitoring

Published: 04 November 2024 Publication History

Abstract

We investigate how environmental data collected from a low-cost, distributed Internet-of-Things platform can be used to identify factors affecting air quality in highly dense urban environments. In this work, we focus on the the case of Bangkok. We use data collected from the SEA-HAZEMON platform to analyze the incidence of several parameters on PMx level and assess its potential to forecast CO2 emission.

References

[1]
Bangkok Air Quality Index (AQI) and Thailand Air Pollution, IQAir. [Online]. Available at: https://www.iqair.com/thailand/bangkok - (Accessed: 10 July 2024).
[2]
Low-Cost IoT Sensor of the Haze Air Quality Disasters in Communities in Thailand and Southeast Asia (SEA-HAZEMON). [Online] - Available at: https://hazemon.in.th/v24.02/map.html? - (Accessed: 07 June 2024).
[3]
H.-Y. Liu, et al. "Performance assessment of a low-cost PM2.5 sensor for a near four-month period in Oslo, Norway," Atmosphere, vol. 10, no. 2, p. 41, 2019.
[4]
T. Bunsantrakul et al., Technical report, July 2024. [Online] - Available at: https://www.dropbox.com/scl/fi/ke9l1ziwyfy2zf0uqvuz6/technicalReport_ bunsantrakul-et-al_2024.pdf?rlkey=bxqi252a1qchps0akgob1t7xg&st=pnsjdnuv&dl=0

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    Published In

    cover image ACM Conferences
    IMC '24: Proceedings of the 2024 ACM on Internet Measurement Conference
    November 2024
    812 pages
    ISBN:9798400705922
    DOI:10.1145/3646547
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 04 November 2024

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    Author Tags

    1. air pollution data
    2. multiple regression analysis (mra)
    3. seasonal autoregressive integrated moving average (sarima)

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    • Poster

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    IMC '24
    IMC '24: ACM Internet Measurement Conference
    November 4 - 6, 2024
    Madrid, Spain

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    Overall Acceptance Rate 277 of 1,083 submissions, 26%

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