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Spatial evaluation of methane emissions in the communities of Warints and Yawi, Ecuador | ||
Caspian Journal of Environmental Sciences | ||
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 27 دی 1403 اصل مقاله (1.18 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22124/cjes.2025.8366 | ||
نویسندگان | ||
Sandra López* 1؛ Juan Haro1؛ Carla Haro1؛ William Carrillo1؛ Justo Moises Narvaez Brito2؛ Burkhanov Aktam Usmanovich3؛ Ulugbek Tulakov4؛ Tulovov Erkinjon5؛ Mullabayev Baxtiyarjon6؛ Mansurov Zuxriddin Xalilillayevich7 | ||
1Escuela Superior Politècnica de Chimborazo (ESPOCH), Macas, Ecuador | ||
2Independent Researcher, Macas, Ecuador | ||
3DSc in Economics, Professor, International School of Finance and Technology, Tashkent, Uzbekistan & Alfraganus University, Tashkent, Uzbekistan | ||
4Termez State University, Termez, Uzbekistan | ||
5Tashkent State University of Economics, Tashkent, Uzbekistan | ||
6Namangan Engineering-Construction Institute, Namangan, Uzbekistan | ||
7Tashkent National Research University Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent Uzbekistan, & Senior lecturer of the Tashkent University of Architecture and Civil Engineering, Tashkent, Uzbekistan, & Western Caspian University, Scientific researcher, Baku, Azerbaijan | ||
چکیده | ||
Methane is a greenhouse gas that has caused environmental repercussions on the planet. At the national level, spatial data are unavailable, so this study aimed to estimate the amount of methane (CH4) emissions in the communities of Warints and Yawi through satellite images. The methodological process was non-experimental, with a descriptive–longitudinal design; 3 satellite images were taken from the OLI and TIRS 8 sensor from the virtual repository (USGS Earth Explorer), years 2013, 2016, and 2020; ArcGIS and ENVI were used during preprocessing and processing: Normalized Difference Vegetation Index (NDVI), emissivity, surface temperature, and methane emissions were determined through the empirical model based on temperatures. The results were the following: for 2013, 2016, and 2020, it was 1.74 × 10 -5; 1.01 × 10 -4 and 2.36 × 10 -4 megatons, respectively, with an annual emission rate of 45.11%. It is concluded that emissions are inversely proportional regarding community centers and bare soils. This model is recommended for estimating the annual methane budget in areas with high vegetative incidence at the local and regional levels. | ||
کلیدواژهها | ||
Methane؛ Remote sensing؛ Landsat؛ NDVI؛ Surface temperature؛ Sustainable development؛ Environmental economics | ||
مراجع | ||
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