Remote Sensing and Geographic Information Systems Detection of Fossil Fuel Air Pollution Impact in Socially Fragile Areas

Güllüdağ C. B., Aksoy E., Özgürel Y.

SUSTAINABILITY, cilt.7, sa.17, ss.1-26, 2025 (SCI-Expanded)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 7 Sayı: 17
  • Basım Tarihi: 2025
  • Doi Numarası: 10.3390/su17073031
  • Dergi Adı: SUSTAINABILITY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Aerospace Database, Agricultural & Environmental Science Database, CAB Abstracts, Communication Abstracts, Food Science & Technology Abstracts, Geobase, INSPEC, Metadex, Veterinary Science Database, Directory of Open Access Journals, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1-26
  • Akdeniz Üniversitesi Adresli: Evet

Özet

One of the important effects of global warming is the use of fossil fuels. Disadvantaged individuals may be affected by fossil fuel use more than others. In this study, the

Kepez district of Antalya province, where the Social Vulnerability Index (SVI) is high, was

selected as the study area. Five-year (2019–2023) NO2, SO2, and CO concentrations were extracted from the Sentinel-5P TROPOMI satellite with open-source code. These values were

combined and compared with Land Use Land Cover (LULC) land classes obtained from the

Sentinel-2 satellite. The same process was performed for Land Surface Temperature (LST)

obtained from MODIS Terra and Aqua satellites, and interpretation was made according

to the LST-LULC map and surface temperature. The integrated SVI was calculated with

population, age, education, and gender data from the Turkish Statistical Institute and NO2,

SO2, and CO concentrations from the Sentinel-5P TROPOMI satellite. It was mapped on a

neighborhood basis with zonal statistics. Accordingly, 20.6% of the neighborhoods in Kepez

were categorized as very high risk, and 16.2% were categorized as high risk. Integrated SVI

with the determination made by evaluating only air pollution gave different neighborhood

results. This revealed the importance of using the SVI in disaster risk assessments. This

study has the potential to shed light on the social vulnerability-supported disaster risk

information system that is likely to be created in the following years.