Spatial Autocorrelation Analysis of CO and NO2 Related to Forest Fire Dynamics DOI Creative Commons
Hatice Atalay, F. Sunar, Adalet Dervisoglu

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(2), P. 65 - 65

Published: Feb. 6, 2025

The increasing frequency and severity of forest fires globally highlight the critical need to understand their environmental impacts. This study applies spatial autocorrelation techniques analyze dispersion patterns carbon monoxide (CO) nitrogen dioxide (NO2) emissions during 2021 Manavgat in Türkiye, using Sentinel-5P satellite data. Univariate (UV) Global Moran’s I values indicated strong for CO (0.84–0.93) NO2 (0.90–0.94), while Bivariate (BV) (0.69–0.84) demonstrated significant correlations between two gases. UV Local analysis identified distinct High-High (UV-HH) Low-Low (UV-LL) clusters, with concentrations exceeding 0.10000 mol/m2 exhibiting wide dispersion, concentrations, above 0.00020 mol/m2, remained localized near intense fire zones due its shorter atmospheric lifetime. BV revealed overlapping BV-HH (high CO, high NO2) BV-LL (low low influenced by topography meteorological factors. These findings enhance understanding gas emission dynamics provide insights into influence combustion processes on pollutant dispersion.

Language: Английский

Spatial Autocorrelation Analysis of CO and NO2 Related to Forest Fire Dynamics DOI Creative Commons
Hatice Atalay, F. Sunar, Adalet Dervisoglu

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(2), P. 65 - 65

Published: Feb. 6, 2025

The increasing frequency and severity of forest fires globally highlight the critical need to understand their environmental impacts. This study applies spatial autocorrelation techniques analyze dispersion patterns carbon monoxide (CO) nitrogen dioxide (NO2) emissions during 2021 Manavgat in Türkiye, using Sentinel-5P satellite data. Univariate (UV) Global Moran’s I values indicated strong for CO (0.84–0.93) NO2 (0.90–0.94), while Bivariate (BV) (0.69–0.84) demonstrated significant correlations between two gases. UV Local analysis identified distinct High-High (UV-HH) Low-Low (UV-LL) clusters, with concentrations exceeding 0.10000 mol/m2 exhibiting wide dispersion, concentrations, above 0.00020 mol/m2, remained localized near intense fire zones due its shorter atmospheric lifetime. BV revealed overlapping BV-HH (high CO, high NO2) BV-LL (low low influenced by topography meteorological factors. These findings enhance understanding gas emission dynamics provide insights into influence combustion processes on pollutant dispersion.

Language: Английский

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