Spatio-Temporal Analysis of Carbon Monoxide (CO) Distribution According to The Total Motor Vehicles in East Java

Bangun Muljo Sukojo*, Devika Rahma Damayanti Yusuf, Nadirah, Inggit Lolita Sari

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Unclean air can be caused by the presence of polluting gases or particulates mixed with the air. One of the major air pollutants is Carbon Monoxide (CO), which can cause an adverse impact on humans and the environment. Fossil fuels (e.g., oil and coal) from transportation propulsion machines contribute as the primary source of CO. Geospatial information sciences can be applied to identify CO distribution to anticipate the increases in its concentration. The current study used Sentinel-5P satellite imagery to monitor CO. Sentinel-5P satellite provides information on CO distribution, thus supporting CO monitoring without going to the field. The Google Earth Engine algorithm was applied to process the Sentinel-5P images. This research was conducted in the East Java Province, Indonesia, from 2019 to 2022. The results of this study were several maps product of CO distribution in every month and year in the study area. The study showed that CO concentration experienced an increase in 2020, while in 2021 and 2022, CO concentration decreased. This was probably due to the COVID-19 pandemic, which caused CO concentration in East Java to be 0. 028 mol/m^2, categorized as a medium. Mojokerto City had the highest CO concentration, and Batu City had the lowest concentration all year around during the study period. Pearson correlation between CO concentration and the number of motor vehicles was approximately 0.203 (weak). However, the Pearson correlation coefficient might increase if measured locally in each central city in East Java.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350344004
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2023 - Hybrid, Bali, Indonesia
Duration: 26 Oct 202327 Oct 2023

Publication series

Name2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2023

Conference

Conference2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2023
Country/TerritoryIndonesia
CityHybrid, Bali
Period26/10/2327/10/23

Keywords

  • Carbon Monoxide
  • Google Earth Engine
  • Sentinel-5P

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