Measuring The Spatio-Temporal Distribution of Sulfur Dioxide (SO2) with Copernicus Sentinel-5P Near Real Time in Medan City
This study aims to monitor the impact of sulfur dioxide (SO2), a significant contributor to atmospheric corrosion and associated with air pollution, in urban and industrial areas through empirical models of spatial distribution and temporal estimation in Medan. Datasets of Sentinel 5P NRTI are worth...
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Format: | Article |
Language: | English |
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Universitas Negeri Medan
2024-03-01
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Series: | Jurnal Geografi |
Online Access: | https://jurnal.unimed.ac.id/2012/index.php/geo/article/view/55297 |
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author | Jeddah Yanti Togi Tampubolon Chian-Yi Liu Titus Adeyemi Alonge Dinil Qaiyimah Muh Rais Abidin Abdul Mannan Rizki Rachmad Saputra |
author_facet | Jeddah Yanti Togi Tampubolon Chian-Yi Liu Titus Adeyemi Alonge Dinil Qaiyimah Muh Rais Abidin Abdul Mannan Rizki Rachmad Saputra |
author_sort | Jeddah Yanti |
collection | DOAJ |
description | This study aims to monitor the impact of sulfur dioxide (SO2), a significant contributor to atmospheric corrosion and associated with air pollution, in urban and industrial areas through empirical models of spatial distribution and temporal estimation in Medan. Datasets of Sentinel 5P NRTI are worth using to monitor the formation of sulfate aerosols or SO2 emissions from natural sources and anthropogenic origin in near real-time from 2019 until 2023 on the local scale, Medan. The source dataset covers 1,11 km of spatial image resolution on orbital in daily revisit time with a spectral bound between the ultraviolet and the shortwave infrared. The measurement of atmospheric SO2 concentrations is generated by enumerating the SO2 vertical column density technique at the soil surface with the cloud-based platform The Earth Engine (EE) Code Editor to handle large data sizes and produce interactive mapping. Based on the availability of auxiliary results, the number of spreading SO2 concentrations fell from 0,92 mmol/m2 in 2019 to 0,41 mmol/m2 in 2023, a reduction of 49.98 percent. The average of SO2 concentrations has decreased substantially over the years. Consequently, these pollutants have recorded long-term health and meteorological parameters impact that substances can rise or reduce acid rain.
Keywords: Air pollution, Meteorological parameters, Sentinel 5P NRTI, SO2 |
first_indexed | 2024-04-24T09:00:05Z |
format | Article |
id | doaj.art-c84b0c2753ed4e1199b4056970f4f72b |
institution | Directory Open Access Journal |
issn | 2085-8167 2549-7057 |
language | English |
last_indexed | 2024-04-24T09:00:05Z |
publishDate | 2024-03-01 |
publisher | Universitas Negeri Medan |
record_format | Article |
series | Jurnal Geografi |
spelling | doaj.art-c84b0c2753ed4e1199b4056970f4f72b2024-04-16T04:05:36ZengUniversitas Negeri MedanJurnal Geografi2085-81672549-70572024-03-0116110111010.24114/jg.v16i1.5529721835Measuring The Spatio-Temporal Distribution of Sulfur Dioxide (SO2) with Copernicus Sentinel-5P Near Real Time in Medan CityJeddah Yanti0Togi Tampubolon1Chian-Yi Liu2Titus Adeyemi Alonge3Dinil Qaiyimah4Muh Rais Abidin5Abdul Mannan6Rizki Rachmad Saputra7(SCOPUS ID: 57190940804) Department of Geography, Universitas Negeri MakasarDepartment of Physics, Universitas Negeri Medan, IndonesiaResearch Center for Environmetnal Changes, Academia Sinica, TaiwanDepartment of Agricultural Engineering, Ladoke Akintola University of Technology, Ogbomoso, NigeriaDepartment of Geography, Universitas Negeri Makassar, IndonesiaDepartment of Geography, Universitas Negeri Makassar, IndonesiaDepartment of Geography, Universitas Negeri Makassar, IndonesiaDepartment of Chemistry, University of Palangka Raya, IndonesiaThis study aims to monitor the impact of sulfur dioxide (SO2), a significant contributor to atmospheric corrosion and associated with air pollution, in urban and industrial areas through empirical models of spatial distribution and temporal estimation in Medan. Datasets of Sentinel 5P NRTI are worth using to monitor the formation of sulfate aerosols or SO2 emissions from natural sources and anthropogenic origin in near real-time from 2019 until 2023 on the local scale, Medan. The source dataset covers 1,11 km of spatial image resolution on orbital in daily revisit time with a spectral bound between the ultraviolet and the shortwave infrared. The measurement of atmospheric SO2 concentrations is generated by enumerating the SO2 vertical column density technique at the soil surface with the cloud-based platform The Earth Engine (EE) Code Editor to handle large data sizes and produce interactive mapping. Based on the availability of auxiliary results, the number of spreading SO2 concentrations fell from 0,92 mmol/m2 in 2019 to 0,41 mmol/m2 in 2023, a reduction of 49.98 percent. The average of SO2 concentrations has decreased substantially over the years. Consequently, these pollutants have recorded long-term health and meteorological parameters impact that substances can rise or reduce acid rain. Keywords: Air pollution, Meteorological parameters, Sentinel 5P NRTI, SO2https://jurnal.unimed.ac.id/2012/index.php/geo/article/view/55297 |
spellingShingle | Jeddah Yanti Togi Tampubolon Chian-Yi Liu Titus Adeyemi Alonge Dinil Qaiyimah Muh Rais Abidin Abdul Mannan Rizki Rachmad Saputra Measuring The Spatio-Temporal Distribution of Sulfur Dioxide (SO2) with Copernicus Sentinel-5P Near Real Time in Medan City Jurnal Geografi |
title | Measuring The Spatio-Temporal Distribution of Sulfur Dioxide (SO2) with Copernicus Sentinel-5P Near Real Time in Medan City |
title_full | Measuring The Spatio-Temporal Distribution of Sulfur Dioxide (SO2) with Copernicus Sentinel-5P Near Real Time in Medan City |
title_fullStr | Measuring The Spatio-Temporal Distribution of Sulfur Dioxide (SO2) with Copernicus Sentinel-5P Near Real Time in Medan City |
title_full_unstemmed | Measuring The Spatio-Temporal Distribution of Sulfur Dioxide (SO2) with Copernicus Sentinel-5P Near Real Time in Medan City |
title_short | Measuring The Spatio-Temporal Distribution of Sulfur Dioxide (SO2) with Copernicus Sentinel-5P Near Real Time in Medan City |
title_sort | measuring the spatio temporal distribution of sulfur dioxide so2 with copernicus sentinel 5p near real time in medan city |
url | https://jurnal.unimed.ac.id/2012/index.php/geo/article/view/55297 |
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