Chaiwat Wilasang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Chaiwat Wilasang has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
- Charin Modchang
Biophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, Thailand
1 shared publication - Chayanin Sararat
Biophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
1 shared publication - Jialiang Feng
School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
1 shared publication - Kasemsan Manomaiphiboon
The Joint Graduate School of Energy and Environment, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand
1 shared publication - Kun Zhang
School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
1 shared publication - Li Li
Shanghai University (Shanghai, China)
1 shared publication
Latest Publications
- Open Access
- 26 November 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (23) , 10587
Source Identification of PM2.5 and Organic Carbon During Various Haze Episodes in a Typical Industrial City by Integrating with High-Temporal-Resolution Online Measurements of Organic Molecular Tracers
Achieving sustainable air quality improvements in rapidly industrializing regions requires a clear understanding of the emission sources that drive the formation of PM2.5 pollution. This study identified the sources of PM2.5 and its organic carbon (OC) in Zibo, a typical industrial city in Northern China Plain, using the Positive Matrix Factorization (PMF) model during five pollution episodes (P1–P5) from 26 November 2022 to 9 February 2023. A high-temporal-resolution online observation of 61 organic molecular tracers was conducted using an Aerodyne TAG stand-alone system combined with a gas chromatograph–mass spectrometer (TAG-GC/MS) system. The results indicate that during pollution episodes, PM2.5 was contributed by 32.4% from coal combustion and 27.1% from inorganic secondary sources. Moreover, fireworks contributed 13.1% of PM2.5, primarily due to the extensive fireworks during the Gregorian and Lunar New Year celebrations. Similarly, coal combustion was the largest contributor to OC, followed by mobile sources and secondary organic aerosol (SOA) sources, accounting for 16.2% and 15.3%, respectively. Although fireworks contributed significantly to PM2.5 concentrations (31.6% in P4 of 20–24 January 2023), their impact on OC was negligible. Overall, a combination of local and regional industrial combustion emissions, mobile sources, extensive residential heating during cold weather, and unfavorable meteorological conditions led to elevated secondary aerosol concentrations and the occurrence of this haze episode. The high-temporal-resolution measurements obtained using the TAG-GC/MS system, which provided more information on source-indicating organic molecules (tracers), significantly enhanced the source apportionment capability of PM2.5 and OC. The findings provide science-based evidence for designing more sustainable emission control strategies, highlighting that the coordinated management of coal combustion, mobile emissions, and wintertime heating is essential for long-term air quality and public health benefits.
- 26 November 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (23) , 10587
Open AccessSource Identification of PM2.5 and Organic Carbon During Various Haze Episodes in a Typical Industrial City by Integrating with High-Temporal-Resolution Online Measurements of Organic Molecular Tracers
Achieving sustainable air quality improvements in rapidly industrializing regions requires a clear understanding of the emission sources that drive the formation of PM2.5 pollution. This study identified the sources of PM2.5 and its organic carbon (OC) in Zibo, a typical industrial city in Northern China Plain, using the Positive Matrix Factorization (PMF) model during five pollution episodes (P1–P5) from 26 November 2022 to 9 February 2023. A high-temporal-resolution online observation of 61 organic molecular tracers was conducted using an Aerodyne TAG stand-alone system combined with a gas chromatograph–mass spectrometer (TAG-GC/MS) system. The results indicate that during pollution episodes, PM2.5 was contributed by 32.4% from coal combustion and 27.1% from inorganic secondary sources. Moreover, fireworks contributed 13.1% of PM2.5, primarily due to the extensive fireworks during the Gregorian and Lunar New Year celebrations. Similarly, coal combustion was the largest contributor to OC, followed by mobile sources and secondary organic aerosol (SOA) sources, accounting for 16.2% and 15.3%, respectively. Although fireworks contributed significantly to PM2.5 concentrations (31.6% in P4 of 20–24 January 2023), their impact on OC was negligible. Overall, a combination of local and regional industrial combustion emissions, mobile sources, extensive residential heating during cold weather, and unfavorable meteorological conditions led to elevated secondary aerosol concentrations and the occurrence of this haze episode. The high-temporal-resolution measurements obtained using the TAG-GC/MS system, which provided more information on source-indicating organic molecules (tracers), significantly enhanced the source apportionment capability of PM2.5 and OC. The findings provide science-based evidence for designing more sustainable emission control strategies, highlighting that the coordinated management of coal combustion, mobile emissions, and wintertime heating is essential for long-term air quality and public health benefits.
- Open Access
- 8 June 2020
- Published by Oxford University Press (OUP) in Journal of Travel Medicine
- Vol. 27 (5)
Reduction in effective reproduction number of COVID-19 is higher in countries employing active case detection with prompt isolation
Countries that implemented liberal testing with active case finding and prompt isolation, combined with contact tracing and quarantine, were more successful in reducing the reproduction number compared to countries that primarily relied on social distancing and lockdown measures.
- 8 June 2020
- Published by Oxford University Press (OUP) in Journal of Travel Medicine
- Vol. 27 (5)
Open AccessReduction in effective reproduction number of COVID-19 is higher in countries employing active case detection with prompt isolation
Countries that implemented liberal testing with active case finding and prompt isolation, combined with contact tracing and quarantine, were more successful in reducing the reproduction number compared to countries that primarily relied on social distancing and lockdown measures.