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Spatial Autocorrelation Analysis of CO and NO2 Related to Forest Fire Dynamics

Datos Bibliográficos

ID22035005
AutoresHatice Atalay (0000-0002-0623-5172, Istanbul Technical University), Ayse Filiz Sunar (0000-0001-9438-1171, Istanbul Technical University), Adalet Dervisoglu (0000-0001-7455-4282, Istanbul Technical University, autor de correspondencia)
Año2025
Volumen14
Número2
Páginas65
Fecha de publicación2025-02-06
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaISPRS International Journal of Geo-Information (JOURNAL)
Identificadores de la revistaISSN: 2220-9964 • E-ISSN: 2220-9964
EditorialMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi14020065
OpenAlexW4407193769
IdiomaEN
Citas recibidas2
Referencias citadas87

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

Autocorrelation · Geography · Remote sensing · Spatial analysis · Statistics · Atmospheric and Environmental Gas Dynamics · Atmospheric chemistry and aerosols · Environmental Science · Fire effects on ecosystems · Mathematics

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Obras citantes distintas2
Citas por año2
Intervalo de citas2025 - 2026 (2)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 2
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