Spatial Variation of Pollutant (NO2, SO2 & CO) and Its Impact Factors in Jakarta: An Application of Sentinel-5P Products

This study investigates the impact of transportation, manufacturing, and energy sectors on air quality in Jakarta using Geographically Weighted Regression (GWR) and remote sensing data. Utilizing datasets from Sentinel-5P for NO 2 , SO 2 , and CO concentrations, and predictor variables including roa...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2024-10, Vol.1406 (1), p.12007
Main Authors: Iqbal, M., Susilo, Bowo, Hizbaron, D.R
Format: Article
Language:English
Subjects:
Air monitoring
Air pollution
Air quality
Environmental monitoring
Geographically Weighted Regression
Heterogeneity
Jakarta
Nitrogen dioxide
Observation methods
Outdoor air quality
Plant layout
Pollutants
Pollution dispersion
Remote monitoring
Remote sensing
Sentinel-5P
Spatial heterogeneity
Spatial variations
Sulfur dioxide
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Summary:This study investigates the impact of transportation, manufacturing, and energy sectors on air quality in Jakarta using Geographically Weighted Regression (GWR) and remote sensing data. Utilizing datasets from Sentinel-5P for NO 2 , SO 2 , and CO concentrations, and predictor variables including road density, industrial activity, and energy production, the research aims to quantify the spatial heterogeneity of air pollution. The findings reveal significant spatial variations in pollutant concentrations across Jakarta and its neighbouring provinces, Banten and West Java, during the dry and wet months of 2023. High NO 2 levels were primarily linked to dense traffic in central Jakarta, while elevated SO 2 and CO concentrations were associated with industrial and energy activities in the peripheral regions. Seasonal analysis indicated that meteorological factors play a crucial role in pollutant dispersion. The integration of remote sensing data with GWR provided a robust framework for environmental monitoring, addressing gaps in traditional air quality observation methods. This research contributes to the broader understanding of urban air pollution dynamics and offers a replicable model for other regions facing similar challenges.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/1406/1/012007