Spatial Analysis of Aerosol Optical Depth in Western Java Indonesia

Air quality in Western Java is highly dynamic and shaped by environmental changes influenced by intense human activities. Aerosols—tiny particulate matter that affects air quality, weather, and climate—can be quantified using Aerosol Optical Depth (AOD), which measures aerosol concentrations in the atmospheric column. This research uses spatial regression analysis to examine the spatial distribution of AOD from GEE’s platform (Google Earth Engine) and its relationship with rainfall and wind patterns during both the wet and dry seasons. The findings indicate that wind speed does not significantly impact AOD values, but wind direction does affect the distribution of rainfall and AOD, likely due to the monsoon system. During the wet season (December to March), high-intensity and widespread rainfall effectively cleanses the atmosphere of aerosols, leading to no significant effect on AOD (p-value > 0.05). In contrast, during the dry season, rainfall significantly influences AOD spatial patterns (p-value < 0.05). These results highlight the intricate interplay between meteorological factors and aerosol’s behavior, emphasizing the seasonal variability in their interactions.

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Publication Details

Journal
International Journal of Science and Mathematics Education
Published
2025-05-07
DOI
https://doi.org/10.62951/ijsme.v2i2.196
Primary Topic
Satellite Image Processing and Photogrammetry
Type
article
Field-Weighted Citation Impact
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article

Spatial Analysis of Aerosol Optical Depth in Western Java Indonesia

Sonni Setiawan, Idung Risdiyanto, Fithriya Yulisiasih Rohmawati, Rajwa Hanan
International Journal of Science and Mathematics Education
Satellite Image Processing and Photogrammetry
article

Spatial Analysis of Aerosol Optical Depth in Western Java Indonesia

Sonni Setiawan, Idung Risdiyanto, Fithriya Yulisiasih Rohmawati, Rajwa Hanan
article en

Abstract

Air quality in Western Java is highly dynamic and shaped by environmental changes influenced by intense human activities. Aerosols—tiny particulate matter that affects air quality, weather, and climate—can be quantified using Aerosol Optical Depth (AOD), which measures aerosol concentrations in the atmospheric column. This research uses spatial regression analysis to examine the spatial distribution of AOD from GEE’s platform (Google Earth Engine) and its relationship with rainfall and wind patterns during both the wet and dry seasons. The findings indicate that wind speed does not significantly impact AOD values, but wind direction does affect the distribution of rainfall and AOD, likely due to the monsoon system. During the wet season (December to March), high-intensity and widespread rainfall effectively cleanses the atmosphere of aerosols, leading to no significant effect on AOD (p-value > 0.05). In contrast, during the dry season, rainfall significantly influences AOD spatial patterns (p-value < 0.05). These results highlight the intricate interplay between meteorological factors and aerosol’s behavior, emphasizing the seasonal variability in their interactions.

International Journal of Science and Mathematics EducationVol. 2(2)
IPB University (ID)
Openalex Percentile: Top 83%
Satellite Image Processing and Photogrammetry
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