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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials, Volume 37, Number 2(3) (2025)
Copyright(C) MYU K.K.
pp. 759-772
S&M3954 Research Paper of Special Issue
https://doi.org/10.18494/SAM5484
Published: February 28, 2025

Spatiotemporal Analysis of Air Pollutants in Vientiane, Laos, via Mobile Sensing [PDF]

Youngmin Noh, Dasom Lee, Sohee Joo, Juhyeon Sim, Chun Sang Hong, Kwon-ho Lee, Jung Ok Kim, Sung-kyun Shin, Jihwan Park, Lonkham Atsanavong, Vanhna Phanphongsa, Woosuk Choi, Sea-ho Oh, Gahye Lee, and Kwanchul Kim

(Received November 18, 2024; Accepted February 25, 2025)

Keywords: particulate matter (PM), air quality, remote sensing, Sniffer4D

In this study, we investigated the spatiotemporal distribution and characteristics of air pollutants in Vientiane, Laos. Despite regulatory efforts, the city continues to face severe air quality issues, primarily due to the high concentrations of particulate matter (PM). Using both ground-based and mobile measurements, we determined that the major emission sources were roadside traffic, industrial activities, and night markets. The PM10 concentrations reached up to 1139 μg/m³ in night market areas, primarily due to outdoor grilling. Ground-based measurements were conducted using an optical particle counter (OPC), and mobile measurements were conducted using Sniffer4D sensors mounted on vehicles. Mobile measurements provided real-time data on air pollutant distribution, revealing several hotspots that are not covered by existing monitoring networks. The highest PM concentrations were found near congested roads, industrial areas, and night markets. Our findings highlight the inadequacy of the current air quality monitoring network and emphasize the need for its expansion, as well as specific regulations to target specific emission sources. This study highlights the importance of mobile air pollution monitoring using sensor technology, particularly the Sniffer4D system, which provides real-time, high-resolution data on PM distributions. By integrating this mobile sensing approach with stationary monitoring networks, we can achieve a more comprehensive understanding of air quality variations, addressing gaps in traditional monitoring methods.

Corresponding author: Kwanchul Kim


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Cite this article
Youngmin Noh, Dasom Lee, Sohee Joo, Juhyeon Sim, Chun Sang Hong, Kwon-ho Lee, Jung Ok Kim, Sung-kyun Shin, Jihwan Park, Lonkham Atsanavong, Vanhna Phanphongsa, Woosuk Choi, Sea-ho Oh, Gahye Lee, and Kwanchul Kim, Spatiotemporal Analysis of Air Pollutants in Vientiane, Laos, via Mobile Sensing, Sens. Mater., Vol. 37, No. 2, 2025, p. 759-772.



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