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Abstract

This study examined spatial–temporal variations in air pollutant levels across four provinces on Sumatra Island, Indonesia, utilizing data from the Sentinel-5P satellite equipped with TROPOMI and MODIS aboard NASA’s Terra and Aqua satellites from 2019 to 2021. Sentinel-5P data, with a spatial resolution of 3.5 × 5.5 km2 and near-daily temporal coverage, were used to analyze the nitrogen dioxide (NO2), carbon monoxide (CO), and Aerosol Optical Depth (AOD) in North Sumatra, West Sumatra, Jambi, and Riau—regions selected for their distinct industrial, agricultural, and urban characteristics. The purpose of this study was to investigate seasonal trends, regional differences, and the impact of the COVID-19 pandemic on air pollution, aiming to provide insights for improved air quality management and policy development. The satellite data were validated using zonal statistics to ensure consistency and reliability. The findings revealed significant seasonal fluctuations in pollution, with elevated levels during the dry season, primarily due to land clearing and forest fires. Urban and industrial areas such as Medan, Pekanbaru, Jambi, and Padang consistently exhibited high levels of NO2, primarily due to vehicular and industrial emissions. The regions affected by biomass burning and agriculture, particularly Jambi and Riau, displayed notably higher CO and AOD levels during the dry season. The COVID-19 pandemic provided a unique opportunity to observe potential improvements in air quality, with significant reductions in NO2, CO, and AOD levels during the 2020 lockdowns. The NO2 levels in urban centers decreased by over 20%, while the reductions in CO and AOD reached up to 29% and 64%, respectively, reflecting diminished human activities and biomass burning. This study underscores the need for enhanced air quality monitoring and targeted management strategies in Sumatra, Indonesia. Future research should aim to improve the resolution and validation of data with ground-based measurements and broaden the number of pollutants studied to better understand air quality dynamics and support effective policy development.

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1009240
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Title
Spatial–Temporal Changes in Air Pollutants in Four Provinces of Sumatra Island, Indonesia: Insights from Sentinel-5P Satellite Imagery
Author
Hanami, Zarah Arwieny 1 ; Amin, Muhammad 2   VIAFID ORCID Logo  ; Hustim, Muralia 1 ; Rahmi Mulia Putri 3 ; Torabi, Sayed Esmatullah 3   VIAFID ORCID Logo  ; Andi Annisa Tenri Ramadhani 3   VIAFID ORCID Logo  ; Suryati, Isra 4   VIAFID ORCID Logo 

 Environmental Engineering Department, Faculty of Engineering, Universitas Hasanuddin, Gowa 92171, South Sulawesi, Indonesia; [email protected] (Z.A.H.); [email protected] (M.H.) 
 Faculty of Geosciences and Civil Engineering, Institute of Science and Engineering, Kanazawa University, Kanazawa 920-1192, Ishikawa, Japan 
 Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192, Ishikawa, Japan[email protected] (S.E.T.); [email protected] (A.A.T.R.) 
 Faculty of Engineering, Universitas Andalas, Padang 25175, West Sumatra, Indonesia 
Publication title
Volume
9
Issue
2
First page
42
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
24138851
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-02-12
Milestone dates
2024-11-26 (Received); 2025-02-05 (Accepted)
Publication history
 
 
   First posting date
12 Feb 2025
ProQuest document ID
3171236945
Document URL
https://www.proquest.com/scholarly-journals/spatial-temporal-changes-air-pollutants-four/docview/3171236945/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-11-07
Database
2 databases
  • Coronavirus Research Database
  • ProQuest One Academic