Dispersion mapping of Carbon Monoxide (CO) derived Sentinel 5P and evaluation with LUR model during winter in Ulaanbaatar, Mongolia

In recent years, air pollution caused by coal combustion in Ulaanbaatar city is becoming a priority health concern for the city residents and many researchers are investigating its ingredient and impact on people's health. This study aims to map Carbon Monoxide (CO) dispersion from remote sensi...

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Main Authors: Odbaatar Enkhjargal, Davaagatan Tuyagerel, Renchinmyadag Tovuudorj, Zolzaya Khurelsukh, Enkhmaa Sarangerel
Format: Article
Language:English
Published: Mongolian Academy of Sciences 2024-08-01
Series:Proceedings of the Mongolian Academy of Sciences
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Online Access:https://www.mongoliajol.info/index.php/PMAS/article/view/3545
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author Odbaatar Enkhjargal
Davaagatan Tuyagerel
Renchinmyadag Tovuudorj
Zolzaya Khurelsukh
Enkhmaa Sarangerel
author_facet Odbaatar Enkhjargal
Davaagatan Tuyagerel
Renchinmyadag Tovuudorj
Zolzaya Khurelsukh
Enkhmaa Sarangerel
author_sort Odbaatar Enkhjargal
collection DOAJ
description In recent years, air pollution caused by coal combustion in Ulaanbaatar city is becoming a priority health concern for the city residents and many researchers are investigating its ingredient and impact on people's health. This study aims to map Carbon Monoxide (CO) dispersion from remote sensing data during the winter season and evaluate it with the Land Use Regression (LUR) model result and fixed station measurements. Fixed station data from the National Agency for Meteorological and Environmental Monitoring (NAMEM) were utilized as a reference point for remote sensing data, a dependent variable for LUR model. Sentinel 5P TROPOMI CO data was correlated moderately-positive with fixed station measurements (R=0.56). And LUR model performance was relatively higher compared to Sentinel data or its determination coefficient R2=0.71, Adjusted R2=0.53, Root Mean Square Error (RMSE)=0.84 mg/m3 and Mean Absolute Error (MAE)=0.7 mg/m3. These statistical evaluation coefficients are relatively lower than other similar studies, and authors have adduced it to a lack of reference data and satellite data spatial resolution. Finally, these two result maps were compared, which have shown lower correlation-positive or R=0.44. Even though these two map results are not exactly the same, Pearson’s correlation coefficient shows that both image results move in the same direction or they are moderately showing the same results.
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institution Kabale University
issn 2310-4716
2312-2994
language English
publishDate 2024-08-01
publisher Mongolian Academy of Sciences
record_format Article
series Proceedings of the Mongolian Academy of Sciences
spelling doaj-art-0ffa489452f446c8bb9cc614577eaf8a2025-08-20T03:25:27ZengMongolian Academy of SciencesProceedings of the Mongolian Academy of Sciences2310-47162312-29942024-08-0111010.5564/pmas.v64i01.35453496Dispersion mapping of Carbon Monoxide (CO) derived Sentinel 5P and evaluation with LUR model during winter in Ulaanbaatar, MongoliaOdbaatar Enkhjargal0https://orcid.org/0000-0001-9361-0753Davaagatan Tuyagerel1https://orcid.org/0000-0002-7537-4539Renchinmyadag Tovuudorj2https://orcid.org/0000-0002-7537-4539Zolzaya Khurelsukh3https://orcid.org/0000-0002-7676-6139Enkhmaa Sarangerel4https://orcid.org/0009-0002-6765-8248Department of Environmental Science, School of Environmental Science and Engineering, Tianjin University, Tianjin, P.R. ChinaDivision of Physical Geography and Environmental Research, Institute of Geography and Geoecology, Mongolian Academy of Sciences, Ulaanbaatar, MongoliaDivision of Physical Geography and Environmental Research, Institute of Geography and Geoecology, Mongolian Academy of Sciences, Ulaanbaatar, MongoliaDivision of Physical Geography and Environmental Research, Institute of Geography and Geoecology, Mongolian Academy of Sciences, Ulaanbaatar, MongoliaDivision of Environmental Monitoring Network, National Agency for Meteorology and Environmental Monitoring, Ulaanbaatar, MongoliaIn recent years, air pollution caused by coal combustion in Ulaanbaatar city is becoming a priority health concern for the city residents and many researchers are investigating its ingredient and impact on people's health. This study aims to map Carbon Monoxide (CO) dispersion from remote sensing data during the winter season and evaluate it with the Land Use Regression (LUR) model result and fixed station measurements. Fixed station data from the National Agency for Meteorological and Environmental Monitoring (NAMEM) were utilized as a reference point for remote sensing data, a dependent variable for LUR model. Sentinel 5P TROPOMI CO data was correlated moderately-positive with fixed station measurements (R=0.56). And LUR model performance was relatively higher compared to Sentinel data or its determination coefficient R2=0.71, Adjusted R2=0.53, Root Mean Square Error (RMSE)=0.84 mg/m3 and Mean Absolute Error (MAE)=0.7 mg/m3. These statistical evaluation coefficients are relatively lower than other similar studies, and authors have adduced it to a lack of reference data and satellite data spatial resolution. Finally, these two result maps were compared, which have shown lower correlation-positive or R=0.44. Even though these two map results are not exactly the same, Pearson’s correlation coefficient shows that both image results move in the same direction or they are moderately showing the same results.https://www.mongoliajol.info/index.php/PMAS/article/view/3545carbon monoxidesentinel 5p tropomilur modelulaanbaatar city
spellingShingle Odbaatar Enkhjargal
Davaagatan Tuyagerel
Renchinmyadag Tovuudorj
Zolzaya Khurelsukh
Enkhmaa Sarangerel
Dispersion mapping of Carbon Monoxide (CO) derived Sentinel 5P and evaluation with LUR model during winter in Ulaanbaatar, Mongolia
Proceedings of the Mongolian Academy of Sciences
carbon monoxide
sentinel 5p tropomi
lur model
ulaanbaatar city
title Dispersion mapping of Carbon Monoxide (CO) derived Sentinel 5P and evaluation with LUR model during winter in Ulaanbaatar, Mongolia
title_full Dispersion mapping of Carbon Monoxide (CO) derived Sentinel 5P and evaluation with LUR model during winter in Ulaanbaatar, Mongolia
title_fullStr Dispersion mapping of Carbon Monoxide (CO) derived Sentinel 5P and evaluation with LUR model during winter in Ulaanbaatar, Mongolia
title_full_unstemmed Dispersion mapping of Carbon Monoxide (CO) derived Sentinel 5P and evaluation with LUR model during winter in Ulaanbaatar, Mongolia
title_short Dispersion mapping of Carbon Monoxide (CO) derived Sentinel 5P and evaluation with LUR model during winter in Ulaanbaatar, Mongolia
title_sort dispersion mapping of carbon monoxide co derived sentinel 5p and evaluation with lur model during winter in ulaanbaatar mongolia
topic carbon monoxide
sentinel 5p tropomi
lur model
ulaanbaatar city
url https://www.mongoliajol.info/index.php/PMAS/article/view/3545
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AT davaagatantuyagerel dispersionmappingofcarbonmonoxidecoderivedsentinel5pandevaluationwithlurmodelduringwinterinulaanbaatarmongolia
AT renchinmyadagtovuudorj dispersionmappingofcarbonmonoxidecoderivedsentinel5pandevaluationwithlurmodelduringwinterinulaanbaatarmongolia
AT zolzayakhurelsukh dispersionmappingofcarbonmonoxidecoderivedsentinel5pandevaluationwithlurmodelduringwinterinulaanbaatarmongolia
AT enkhmaasarangerel dispersionmappingofcarbonmonoxidecoderivedsentinel5pandevaluationwithlurmodelduringwinterinulaanbaatarmongolia