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Investigation of the Spatiotemporal Distribution of PM10, PM2.5, and PM1 from Motor Vehicles in Roadside Environments

The Case Study of Padang City, Indonesia

Authors

  • Vera Surtia Bachtiar Department of Environmental Engineering, Facility of Engineering, Andalas University, Padang, Indonesia
  • Purnawan Department of Civil Engineering, Facility of Engineering, Andalas University, Padang, Indonesia https://orcid.org/0009-0001-3001-3932
  • Reri Afrianita Department of Environmental Engineering, Facility of Engineering, Andalas University, Padang, Indonesia
  • Rizki Aziz Department of Environmental Engineering, Facility of Engineering, Andalas University, Padang, Indonesia
  • Ramadhanil Department of Environmental Engineering, Facility of Engineering, Andalas University, Padang, Indonesia
Volume: 15 | Issue: 1 | Pages: 19646-19654 | February 2025 | https://doi.org/10.48084/etasr.9281

Abstract

This study examines the spatial and temporal distribution of PM10, PM2.5, and PM1 concentrations in Padang City, Indonesia, focusing on the impact of motor vehicle emissions. Measurements were conducted at distances ranging from 5 m to 100 m from major roadways and at different times of the day to evaluate the effects of traffic patterns and meteorological conditions on air quality. The findings revealed that Particulate Matter (PM) concentrations are significantly higher near roads, with PM10 peaking at over 55 μg/m³ in the afternoon at 5 m from the roadway. Similarly, PM2.5 and PM1 also reach the maximum levels of 45 μg/m³ and 35 μg/m³, respectively, during peak traffic hours. While meteorological factors, such as temperature, wind speed, relative humidity, and pressure, exhibit weak correlations with the PM levels, traffic volume emerges as the primary contributor to air pollution. These results underscore the need for effective traffic management and emission reduction strategies to mitigate pollution and protect public health. The current study’s recommendations include enhancing roadside air quality monitoring, and conducting further research on seasonal variations and the specific contributions of different vehicle types to PM pollution dynamics.

Keywords:

spatiotemporal distribution, particulate matter, motor vehicle emissions, meteorological factors

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References

A. A. Siyal, S. R. Samo, Z. A. Siyal, K. C. Mukwana, S. A. Jiskani, and A. Mengal, "Assessment of Air Pollution by PM10 and PM2.5 in Nawabshah City, Sindh, Pakistan," Engineering, Technology & Applied Science Research, vol. 9, no. 1, pp. 3757–3761, Feb. 2019.

J. Guo et al., "Long-term exposure to particulate matter on cardiovascular and respiratory diseases in low- and middle-income countries: A systematic review and meta-analysis," Frontiers in Public Health, vol. 11, Mar. 2023.

G. Chai et al., "The chronic effects of particulate matter (PM2.5, PM10 and PM1) on the morbidity and mortality of cardiovascular and respiratory diseases in LMICs: a systematic review and meta-analysis." Research Square, Jan. 20, 2022.

T. Chen et al., "Acute respiratory response to individual particle exposure (PM1.0, PM2.5 and PM10) in the elderly with and without chronic respiratory diseases," Environmental Pollution, vol. 271, Feb. 2021, Art. no. 116329.

K. Hu et al., "Mortality burden attributable to PM1 in Zhejiang province, China," Environment International, vol. 121, pp. 515–522, Dec. 2018.

"Particulate Matter Overview," Utah Department of Environmental Quality.

A. Talbi, Y. Kerchich, R. Kerbachi, and M. Boughedaoui, "Assessment of annual air pollution levels with PM1, PM2.5, PM10 and associated heavy metals in Algiers, Algeria," Environmental Pollution, vol. 232, pp. 252–263, Jan. 2018.

X. Querol et al., "PM10 and PM2.5 source apportionment in the Barcelona Metropolitan area, Catalonia, Spain," Atmospheric Environment, vol. 35, no. 36, pp. 6407–6419, Dec. 2001.

B. Srimuruganandam and S. M. Shiva Nagendra, "Characteristics of particulate matter and heterogeneous traffic in the urban area of India," Atmospheric Environment, vol. 45, no. 18, pp. 3091–3102, Jun. 2011.

M. Das, S. K. Maiti, and U. Mukhopadhyay, "Distribution of PM2.5 and PM10-2.5 in PM10 Fraction in Ambient Air Due to Vehicular Pollution in Kolkata Megacity," Environmental Monitoring and Assessment, vol. 122, no. 1, pp. 111–123, Nov. 2006.

G. Xu et al., "Spatial and temporal variability of the PM2. 5/PM10 ratio in Wuhan, Central China," Aerosol and Air Quality Research, vol. 17, no. 3, pp. 741–751, 2017.

S. Tiwari et al., "Intra-urban variability of particulate matter (PM2.5 and PM10) and its relationship with optical properties of aerosols over Delhi, India," Atmospheric Research, vol. 166, pp. 223–232, Dec. 2015.

G. Tian, Z. Qiao, and X. Xu, "Characteristics of particulate matter (PM10) and its relationship with meteorological factors during 2001–2012 in Beijing," Environmental Pollution, vol. 192, pp. 266–274, Sep. 2014.

J. H. Seinfeld and S. N. Pandis, Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, 3rd ed. Hoboken, New Jersey, United States: John Wiley & Sons, 2016.

M. Amin et al., "Seasonal anomaly of particulate matter concentration in an equatorial climate: Evaluating the transboundary impact from neighboring provinces on Padang City, Indonesia," Environmental Monitoring and Assessment, vol. 196, no. 11, Oct. 2024, Art. no. 1013.

M. Farda and C. Balijepalli, "Exploring the effectiveness of demand management policy in reducing traffic congestion and environmental pollution: Car-free day and odd-even plate measures for Bandung city in Indonesia," Case Studies on Transport Policy, vol. 6, no. 4, pp. 577–590, Dec. 2018.

T. Zheng, Z.-R. Peng, H.-D. He, S. Zhang, and Y. Wu, "Horizontal profiles of size-segregated particle number concentration and black carbon beside a major roadway," Atmospheric Environment: X, vol. 16, Dec. 2022, Art. no. 100187.

H. Gunawan, Y. Ruslinda, and A. Alfionita, "Relationship Models Between Hydrocarbol Concentrations in Roadway Ambient Air with Traffic Characteristics," Technology, vol. 8, no. 10, pp. 1017–1028, 2017.

V. S. Bachtiar, P. Purnawan, R. Afrianita, and S. H. Ritonga, "Modelling of NO2 dispersion based on receptor position due to transport sector in Padang city, Indonesia.," vol. 10, no. 5, pp. 258–267, 2017.

V. S. Bachtiar, P. Purnawan, and M. Ammar, "Diurnal variation of tropospheric ozone (O3) and its precursors (CO and NO2) due to transportation activity in the roadside areas in Padang City, Indonesia," ARPN Journal of Engineering and Applied Sciences, vol. 12, no. 24, pp. 7012-7023, Dec. 2017.

V. S. Bachtiar, Purnawan, R. Afrianita, I. Mustofa, and R. Anugerah, "Modeling and the Validation Model of PM10 Concentration due to the Changes in the Dominant Wind Direction to the Road in the Roadside Area," IOP Conference Series: Materials Science and Engineering, vol. 846, no. 1, Feb. 2020, Art. no. 012058.

K. Brzozowski, A. Ryguła, and A. Maczyński, "The use of low-cost sensors for air quality analysis in road intersections," Transportation Research Part D: Transport and Environment, vol. 77, pp. 198–211, Dec. 2019.

B. Lee, H. K. Lee, and O. Lee, "Analysis of the Correlation between Particulate Matter Concentrations and Traffic Volume in the Metropolitan City of Ulsan, Korea," in 2006 International Forum on Strategic Technology, Ulsan, Korea (South), Jul. 2006, pp. 351–353.

Z. Liu, H. Yin, S. Ma, G. Jin, J. Gao, and W. Ding, "On-site assessments on variations of PM2.5, PM10, CO2 and TVOC concentrations in naturally ventilated underground parking garages with traffic volume," Environmental Pollution, vol. 247, pp. 626–637, Apr. 2019.

A. Azhari, N. D. A. Halim, A. A. A. Mohtar, K. Aiyub, M. T. Latif, and M. Ketzel, "Evaluation and Prediction of PM10 and PM2.5 from Road Source Emissions in Kuala Lumpur City Centre," Sustainability, vol. 13, no. 10, Jan. 2021, Art. no. 5402.

T. M. T. Lei and M. F. C. Ma, "The Relationship between Roadside PM Concentration and Traffic Characterization: A Case Study in Macao," Sustainability, vol. 15, no. 14, Jan. 2023, Art. no. 10993.

N. Sahanavin, T. Prueksasit, and K. Tantrakarnapa, "Relationship between PM10 and PM2.5 levels in high-traffic area determined using path analysis and linear regression," Journal of Environmental Sciences, vol. 69, pp. 105–114, Jul. 2018.

R. Chen et al., "Communicating air pollution-related health risks to the public: An application of the Air Quality Health Index in Shanghai, China," Environment International, vol. 51, pp. 168–173, Jan. 2013.

C. Lou, H. Liu, Y. Li, Y. Peng, J. Wang, and L. Dai, "Relationships of relative humidity with PM2.5 and PM10 in the Yangtze River Delta, China," Environmental Monitoring and Assessment, vol. 189, no. 11, Oct. 2017, Art. no. 582.

P. Anusasananan, S. Suwanarat, and N. Thangprasert, "The effect of meteorological parameters on air particulate matter," Journal of Physics: Conference Series, vol. 2653, no. 1, Sep. 2023, Art. no. 012068.

Vaishali, G. Verma, and R. M. Das, "Influence of Temperature and Relative Humidity on PM2.5 Concentration over Delhi," MAPAN, vol. 38, no. 3, pp. 759–769, Sep. 2023.

F. Al Jallad, E. Al Katheeri, and M. Al Omar, "Levels Of Particulate Matter In Western UAE Desert And Factors Affecting Their Distribution," in Air Pollution XXI, vol. 174, Southampton, England: WIT Press, 2013, pp. 111–122.

T. Zheng, H.-W. Wang, X.-B. Li, Z.-R. Peng, and H.-D. He, "Impacts of traffic on roadside particle variations in varied temporal scales," Atmospheric Environment, vol. 253, May 2021, Art. no. 118354.

Y. Zhu, W. C. Hinds, S. Kim, S. Shen, and C. Sioutas, "Study of ultrafine particles near a major highway with heavy-duty diesel traffic," Atmospheric Environment, vol. 36, no. 27, pp. 4323–4335, Sep. 2002.

Y. Zhang et al., "Large-eddy simulation of traffic-related air pollution at a very high resolution in a mega-city: evaluation against mobile sensors and insights for influencing factors," Atmospheric Chemistry and Physics, vol. 21, no. 4, pp. 2917–2929, Feb. 2021.

M.-R. Meng, S.-J. Cao, P. Kumar, X. Tang, and Z. Feng, "Spatial distribution characteristics of PM2.5 concentration around residential buildings in urban traffic-intensive areas: From the perspectives of health and safety," Safety Science, vol. 141, Sep. 2021, Art. no. 105318.

A. A. Karner, D. S. Eisinger, and D. A. Niemeier, "Near-Roadway Air Quality: Synthesizing the Findings from Real-World Data," Environmental Science & Technology, vol. 44, no. 14, pp. 5334–5344, Jul. 2010.

N. Baldwin et al., "Factors affecting pollutant concentrations in the near-road environment," Atmospheric Environment, vol. 115, pp. 223–235, Aug. 2015.

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How to Cite

[1]
Bachtiar, V.S., Purnawan, ., Afrianita, R., Aziz, R. and Ramadhanil, . 2025. Investigation of the Spatiotemporal Distribution of PM10, PM2.5, and PM1 from Motor Vehicles in Roadside Environments : The Case Study of Padang City, Indonesia. Engineering, Technology & Applied Science Research. 15, 1 (Feb. 2025), 19646–19654. DOI:https://doi.org/10.48084/etasr.9281.

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