Perapong Tekasakul
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Perapong Tekasakul has a total of 111 co-authors. Here are the top co-authors by number of shared publications:
Racha Dejchanchaiwong
14 shared publications- Racha Dejchanchaiwong
Air Pollution and Health Effect Research Center, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand
8 shared publications John Morris
7 shared publicationsNobchonnee Nim
6 shared publications- John Morris
Manufacturing and Materials Research Unit, Faculty of Engineering, Mahasarakham University, Mahasarakham 40000, Thailand
5 shared publications Thammasin Ingviya
5 shared publications
Latest Publications
- 5 October 2026
- Published by Elsevier in Atmospheric Pollution Research
- Vol. 17  (11)
High-accuracy prediction of hazardous VOCs in an industrial zone using an interpretable hybrid XGBoost–BiLSTM–SHAP model
- 5 October 2026
- Published by Elsevier in Atmospheric Pollution Research
- Vol. 17  (11)
High-accuracy prediction of hazardous VOCs in an industrial zone using an interpretable hybrid XGBoost–BiLSTM–SHAP model
- 20 July 2026
- Published by Elsevier in Measurement
- Vol. 289
Atmospheric ultrafine particles measurement technologies: principles, current status, advances, and emerging trends
- 20 July 2026
- Published by Elsevier in Measurement
- Vol. 289
Atmospheric ultrafine particles measurement technologies: principles, current status, advances, and emerging trends
- 6 November 2025
- Published by Elsevier in Measurement
- Vol. 259
Performance of continuous real-time atmospheric ultrafine aerosol monitoring detector using electrostatic current
- 6 November 2025
- Published by Elsevier in Measurement
- Vol. 259
Performance of continuous real-time atmospheric ultrafine aerosol monitoring detector using electrostatic current
- 25 April 2025
- Published by Elsevier in Atmospheric Pollution Research
- Vol. 16  (8)
Hybrid machine learning to enhance PM2.5 forecasting performance by the WRF-Chem model
- 25 April 2025
- Published by Elsevier in Atmospheric Pollution Research
- Vol. 16  (8)
Hybrid machine learning to enhance PM2.5 forecasting performance by the WRF-Chem model
- 21 April 2025
- Published by Elsevier in Atmospheric Pollution Research
- Vol. 16  (8)
Concurrent study of long-range transport of fine and ultrafine particles from peatland fires in lower Southeast Asia
- 21 April 2025
- Published by Elsevier in Atmospheric Pollution Research
- Vol. 16  (8)
Concurrent study of long-range transport of fine and ultrafine particles from peatland fires in lower Southeast Asia
- 9 February 2025
- Published by Elsevier in Building and Environment
- Vol. 273
Using computational fluid dynamics to minimize droplet dispersion in intraoral suction devices with a dental triple syringe
- 9 February 2025
- Published by Elsevier in Building and Environment
- Vol. 273
Using computational fluid dynamics to minimize droplet dispersion in intraoral suction devices with a dental triple syringe
- 28 November 2024
- Published by Elsevier in Journal of Aerosol Science
- Vol. 184
Use of electric field to enhance collection of ultrafine particles using quartz crystal microbalance
- 28 November 2024
- Published by Elsevier in Journal of Aerosol Science
- Vol. 184
Use of electric field to enhance collection of ultrafine particles using quartz crystal microbalance
- Open Access
- 9 August 2024
- Published by MDPI AG in Remote Sensing
- Vol. 16  (16) , 2932
Recent Developments in Satellite Remote Sensing for Air Pollution Surveillance in Support of Sustainable Development Goals
Air pollution is an integral part of climatic, environmental, and socioeconomic current affairs and a cross-cutting component of certain United Nations Sustainable Development Goals (SDGs). Hence, reliable information on air pollution and human exposure is a crucial element in policy recommendations and decisions. At the same time, Earth Observation is steadily gaining confidence as a data input in the calculation of various SDG indicators. The current paper focuses on the usability of modern satellite remote sensing in the context of SDGs relevant to air quality. We introduce the socioeconomic importance of air quality and discuss the current uptake of geospatial information. The latest developments in Earth Observation provide measurements of finer spatial, temporal, and radiometric resolution products with increased global coverage, long-term continuation, and coherence in measurements. Leveraging on the two latest operational satellite technologies available, namely the Sentinel-5P and the Geostationary Environment Monitoring Spectrometer (GEMS) missions, we demonstrate two potential operational applications for quantifying air pollution at city and regional scales. Based on the two examples and by discussing the near-future anticipated geospatial capabilities, we showcase and advocate that the potential of satellite remote sensing as a, complementary to ground station networks, source of air pollution information is gaining confidence. As such, it can be an invaluable tool for quantifying global air pollution and deriving robust population exposure estimates.
- 9 August 2024
- Published by MDPI AG in Remote Sensing
- Vol. 16  (16) , 2932
Open AccessRecent Developments in Satellite Remote Sensing for Air Pollution Surveillance in Support of Sustainable Development Goals
Air pollution is an integral part of climatic, environmental, and socioeconomic current affairs and a cross-cutting component of certain United Nations Sustainable Development Goals (SDGs). Hence, reliable information on air pollution and human exposure is a crucial element in policy recommendations and decisions. At the same time, Earth Observation is steadily gaining confidence as a data input in the calculation of various SDG indicators. The current paper focuses on the usability of modern satellite remote sensing in the context of SDGs relevant to air quality. We introduce the socioeconomic importance of air quality and discuss the current uptake of geospatial information. The latest developments in Earth Observation provide measurements of finer spatial, temporal, and radiometric resolution products with increased global coverage, long-term continuation, and coherence in measurements. Leveraging on the two latest operational satellite technologies available, namely the Sentinel-5P and the Geostationary Environment Monitoring Spectrometer (GEMS) missions, we demonstrate two potential operational applications for quantifying air pollution at city and regional scales. Based on the two examples and by discussing the near-future anticipated geospatial capabilities, we showcase and advocate that the potential of satellite remote sensing as a, complementary to ground station networks, source of air pollution information is gaining confidence. As such, it can be an invaluable tool for quantifying global air pollution and deriving robust population exposure estimates.