SPATIO-TEMPORAL ANALYSIS OF POLLUTANT GASES USING SENTINEL-5P TROPOMI DATA ON THE GOOGLE EARTH ENGINE DURING THE COVID-19 PANDEMIC IN THE MARMARA REGION, TÜRKIYE
In this study, the changes in nitrogen dioxide (NO2), carbon monoxide (CO) and sulfur dioxide (SO2) pollutant gases were examined between June 2019 and June 2021 during the COVID-19 pandemic period. For this purpose, monthly and annual averages of Sentinel-5P TROPOspheric Monitoring Instrument (TROP...
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Format: | Article |
Language: | English |
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University of Mostar, Faculty of Civil Engineering, Architecture and Geodesy
2023-06-01
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Series: | e-Zbornik. Elektronički Zbornik Radova Građevinskog Fakulteta |
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Online Access: | https://e-zbornik.gf.sum.ba/images/radovi/e-Zbornik_25_01_en.pdf |
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author | Neslihan Cakmak Osman Salih Yilmaz Fusun Balik Sanli |
author_facet | Neslihan Cakmak Osman Salih Yilmaz Fusun Balik Sanli |
author_sort | Neslihan Cakmak |
collection | DOAJ |
description | In this study, the changes in nitrogen dioxide (NO2), carbon monoxide (CO) and sulfur dioxide (SO2) pollutant gases were examined between June 2019 and June 2021 during the COVID-19 pandemic period. For this purpose, monthly and annual averages of Sentinel-5P TROPOspheric Monitoring Instrument (TROPOMI) values were calculated on the Google Earth Engine (GEE) platform. According to the results obtained using the GEE platform, the average column density values of NO2, CO, and SO2 in the Marmara Region between the selected dates were calculated as 8.40E-05 mol/m2, 3.23E-02 mol/m2, and 3.75E-04 mol/m2, respectively. During the lockdown, these values decreased to 7.84E-05 mol/m2, 3.05E-02 mol/m2 and 2.75E-04 mol/m2 respectively. According to TROPOMI data, these three gas column density values showed a decreasing trend during the COVID-19 pandemic lockdown period. However, in a 25-month examination in general, these three gas values showed an increasing trend due to population growth, industrialization, and increasing traffic density. |
first_indexed | 2024-03-13T03:01:28Z |
format | Article |
id | doaj.art-432ed66bf59348019a29e63137c1a379 |
institution | Directory Open Access Journal |
issn | 2232-9080 |
language | English |
last_indexed | 2024-03-13T03:01:28Z |
publishDate | 2023-06-01 |
publisher | University of Mostar, Faculty of Civil Engineering, Architecture and Geodesy |
record_format | Article |
series | e-Zbornik. Elektronički Zbornik Radova Građevinskog Fakulteta |
spelling | doaj.art-432ed66bf59348019a29e63137c1a3792023-06-27T12:48:42ZengUniversity of Mostar, Faculty of Civil Engineering, Architecture and Geodesye-Zbornik. Elektronički Zbornik Radova Građevinskog Fakulteta2232-90802023-06-011325114https://doi.org/10.47960/2232-9080.2023.25.13.1SPATIO-TEMPORAL ANALYSIS OF POLLUTANT GASES USING SENTINEL-5P TROPOMI DATA ON THE GOOGLE EARTH ENGINE DURING THE COVID-19 PANDEMIC IN THE MARMARA REGION, TÜRKIYENeslihan Cakmak0Osman Salih Yilmaz1https://orcid.org/0000-0003-4632-9349Fusun Balik Sanli2Yildiz Technical University, Geomatic Engineering DepartmentManisa Celal Bayar University, Demirci Vocational SchYildiz Technical University, Geomatic Engineering DepartmentIn this study, the changes in nitrogen dioxide (NO2), carbon monoxide (CO) and sulfur dioxide (SO2) pollutant gases were examined between June 2019 and June 2021 during the COVID-19 pandemic period. For this purpose, monthly and annual averages of Sentinel-5P TROPOspheric Monitoring Instrument (TROPOMI) values were calculated on the Google Earth Engine (GEE) platform. According to the results obtained using the GEE platform, the average column density values of NO2, CO, and SO2 in the Marmara Region between the selected dates were calculated as 8.40E-05 mol/m2, 3.23E-02 mol/m2, and 3.75E-04 mol/m2, respectively. During the lockdown, these values decreased to 7.84E-05 mol/m2, 3.05E-02 mol/m2 and 2.75E-04 mol/m2 respectively. According to TROPOMI data, these three gas column density values showed a decreasing trend during the COVID-19 pandemic lockdown period. However, in a 25-month examination in general, these three gas values showed an increasing trend due to population growth, industrialization, and increasing traffic density.https://e-zbornik.gf.sum.ba/images/radovi/e-Zbornik_25_01_en.pdfsentinel-5ptropomino2coso2google earth enginecovid-19 |
spellingShingle | Neslihan Cakmak Osman Salih Yilmaz Fusun Balik Sanli SPATIO-TEMPORAL ANALYSIS OF POLLUTANT GASES USING SENTINEL-5P TROPOMI DATA ON THE GOOGLE EARTH ENGINE DURING THE COVID-19 PANDEMIC IN THE MARMARA REGION, TÜRKIYE e-Zbornik. Elektronički Zbornik Radova Građevinskog Fakulteta sentinel-5p tropomi no2 co so2 google earth engine covid-19 |
title | SPATIO-TEMPORAL ANALYSIS OF POLLUTANT GASES USING SENTINEL-5P TROPOMI DATA ON THE GOOGLE EARTH ENGINE DURING THE COVID-19 PANDEMIC IN THE MARMARA REGION, TÜRKIYE |
title_full | SPATIO-TEMPORAL ANALYSIS OF POLLUTANT GASES USING SENTINEL-5P TROPOMI DATA ON THE GOOGLE EARTH ENGINE DURING THE COVID-19 PANDEMIC IN THE MARMARA REGION, TÜRKIYE |
title_fullStr | SPATIO-TEMPORAL ANALYSIS OF POLLUTANT GASES USING SENTINEL-5P TROPOMI DATA ON THE GOOGLE EARTH ENGINE DURING THE COVID-19 PANDEMIC IN THE MARMARA REGION, TÜRKIYE |
title_full_unstemmed | SPATIO-TEMPORAL ANALYSIS OF POLLUTANT GASES USING SENTINEL-5P TROPOMI DATA ON THE GOOGLE EARTH ENGINE DURING THE COVID-19 PANDEMIC IN THE MARMARA REGION, TÜRKIYE |
title_short | SPATIO-TEMPORAL ANALYSIS OF POLLUTANT GASES USING SENTINEL-5P TROPOMI DATA ON THE GOOGLE EARTH ENGINE DURING THE COVID-19 PANDEMIC IN THE MARMARA REGION, TÜRKIYE |
title_sort | spatio temporal analysis of pollutant gases using sentinel 5p tropomi data on the google earth engine during the covid 19 pandemic in the marmara region turkiye |
topic | sentinel-5p tropomi no2 co so2 google earth engine covid-19 |
url | https://e-zbornik.gf.sum.ba/images/radovi/e-Zbornik_25_01_en.pdf |
work_keys_str_mv | AT neslihancakmak spatiotemporalanalysisofpollutantgasesusingsentinel5ptropomidataonthegoogleearthengineduringthecovid19pandemicinthemarmararegionturkiye AT osmansalihyilmaz spatiotemporalanalysisofpollutantgasesusingsentinel5ptropomidataonthegoogleearthengineduringthecovid19pandemicinthemarmararegionturkiye AT fusunbaliksanli spatiotemporalanalysisofpollutantgasesusingsentinel5ptropomidataonthegoogleearthengineduringthecovid19pandemicinthemarmararegionturkiye |