Duanpen Sirithian

• Lecturer at Thammasat University

Air pollutants and greenhouse gases (GHGs) represent major challenges in our era, contributing to climate change and global health issues. These problems arise from a variety of well-known sources, including motor vehicles. Almost all nations, Thailand included, have formulated and implemented policies to curb greenhouse gas (GHG) emissions in line...

Meteorological parameters play a crucial role in the ambient air quality of urban and rural environments. This study aims to investigate the relationship between meteorological parameters (including temperature, relative humidity, and wind speed) and the concentrations of PM2.5 and PM10 in the urban area and the rural area, northern Thailand during...

Burning of maize residues has been considered as a significant source of air pollution in the northern region of Thailand during the dry season. This study applied CALPUFF air dispersion model to predict ambient VOC concentrations released from maize residue open burning in the study area. VOC emission data in 2014 coupled with the meteorological d...

California Puff Mesoscale Dispersion Model (CALPUFF) was applied to simulate concentrations and the spatial distributions of polycyclic aromatic hydrocarbons (PAHs) emitted from open burning of maize residues in Chiang Rai, Thailand. The model was simulated during the burning season between January 1 and April 30, 2014. The 95th percentile values o...

Bangkok Metropolitan Administration (BMA) action plans consist of 10 action plans aimed to reduce at least 15% of the total greenhouse gases emissions anticipated in the year 2012 under business as usual projection. In this study, the Multi Criteria Attribute (MCA) analysis was carried out to determine the most appropriate greenhouse gas mitigation...

Influences of different computational grid resolutions on modeled ambient benzene concentrations from open burning were assessed in this study. The CALPUFF (California Puff Mesoscale Dispersion Model) was applied to simulate maximum ground level concentration over the modeling domain of 100 × 100 km2. Meteorological data of the year 2014 was simula...

Assimilative capacities of sulfur dioxide (SO2) and oxides of nitrogen (NOx) in the largest petrochemical industrial complex in Thailand were evaluated in this study. AERMOD dispersion model was simulated to compute for ground level concentrations and spatial distributions of SO2 and nitrogen dioxide (NO2) within a radius of 5 km from Maptaphut ind...