Aerosol size distribution using Thailand ground-based instruments and climate variables

Kumharn, Wilawan; Janjai, Serm; Irie, Hitoshi; Pilahome, Oradee

doi:10.1007/s00704-020-03328-8

Cited by 7 publications

(2 citation statements)

References 54 publications

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“…As mentioned earlier, the winter months experienced the maximum PM2.5 concentrations (Kumharn and Hanprasert 2016; Kumharn et al 2020). This is likely due to temperature inversion, and the amount of PM2.5 brought into the country from neighboring countries.…”

Section: Discussionmentioning

confidence: 80%

Estimating Hourly Full-Coverage PM2.5 Concentrations Based On MODIS Data Over The Northeast of Thailand.

Kumharn

Pilahome

Ninsawan

et al. 2022

Preprint

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Particulate matter (PM2.5) pollutants are a significant health issue with impacts on human health; however, monitoring of PM2.5 is very limited in developing countries. Satellite remote sensing can expand spatial coverage, potentially enhancing our ability in a specific area for estimating PM2.5; however, some have reported poor predictive performance. An innovative combination of MODIS AOD was developed to fulfill all missing aerosol optical depth (AOD) data obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS). Therefore, hourly PM2.5 concentrations were obtained in Northeastern Thailand. A Linear mixed-effects (LME) model was used to predict location-specific hourly PM2.5 levels. Hourly PM2.5 concentrations measured at 20 PM2.5 monitoring sites and 10- fold cross-validation were addressed for model validation. The observed and predicted concentrations suggested that LME obtained from MODIS AOD data and other factors are a potentially useful predictor of hourly PM2.5 concentrations (R2 >0.70), providing more detailed spatial information for local scales studies. Interestingly, PM2.5 along the Mekong River area was observed higher than in the plain area. The finding can infer that the monsoon wind brings polluted air into the province from sources outside the region. The results will be helpful to analyze air pollution-related health studies.

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Section: Discussionmentioning

confidence: 80%

Estimating Hourly Full-Coverage PM2.5 Concentrations Based On MODIS Data Over The Northeast of Thailand.

Kumharn

Pilahome

Ninsawan

et al. 2022

Preprint

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“…In this regard, satellite-based measurements have the advantage of broad and continuous observation, with the ability to collect large-range aerosol information and obtain their yearly spatiotemporal distributions [25]. Therefore, it is useful to fully grasp the largescale-coverage distribution of aerosol particles and even retrieve the movement of aerosol optical properties from both ground stations and satellite images [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Retrieval of Aerosol Optical Thickness with Custom Aerosol Model Using SKYNET Data over the Chiba Area

2021

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The retrieval of the aerosol optical thickness (AOT) from remotely-sensed data relies on the adopted aerosol model. However, the method of this technique has been rather limited because of the high variability of the surface albedo, in addition to the spatial variability in the aerosol properties over the land surfaces. To overcome unsolved problems, we proposed a method for the visibility-derived AOT estimation from SKYNET-based measurement and daytime satellite images with a custom aerosol model over the Chiba area (35.62° N, 140.10° E), which is located in the greater Tokyo metropolitan area in Japan. Different from conventionally-used aerosol models for the boundary layer, we created a custom aerosol model by using sky-radiometer observation data of aerosol volume size distribution and refractive indices, coupled with spectral response functions (SPFs) of satellite visible bands to alleviate the wide range of path-scattered radiance. We utilized the radiative transfer code 6S to implement the radiative transfer calculation based on the created custom aerosol model. The concurrent data from ground-based measurement are used in the radiative analysis, namely the temporal variation of AOT from SKYNET. The radiative estimation conducted under clear-sky conditions with minimum aerosol loading is used for the determination of the surface albedo, so that the 6S simulation yields a well-defined relation between total radiance and surface albedo. We made look-up tables (LUTs) pixel-by-pixel over the Chiba area for the custom aerosol model to retrieve the satellite AOT distribution based on the surface albedo. Therefore, such a reference of surface albedo generated from clear-sky conditions, in turn, can be employed to retrieve the spatial distribution of AOT on both clear and relatively turbid days. The value for the AOTs retrieved using the custom aerosol model is found to be stable than conventionally-used typical aerosol models, indicating that our method yields substantially better performance.

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Estimating hourly full-coverage PM2.5 concentrations model based on MODIS data over the northeast of Thailand

Kumharn,

Sudhibrabha,

Hanprasert

et al. 2023

Model. Earth Syst. Environ.

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Aerosol size distribution using Thailand ground-based instruments and climate variables

Cited by 7 publications

References 54 publications

Estimating Hourly Full-Coverage PM2.5 Concentrations Based On MODIS Data Over The Northeast of Thailand.

Estimating Hourly Full-Coverage PM2.5 Concentrations Based On MODIS Data Over The Northeast of Thailand.

Retrieval of Aerosol Optical Thickness with Custom Aerosol Model Using SKYNET Data over the Chiba Area

Estimating hourly full-coverage PM2.5 concentrations model based on MODIS data over the northeast of Thailand

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