Hydrogeomorphology
Mehdi Asadi
Abstract
In this study, the ALARM method (Analytical Land Atmosphere Radiometer Model) and UKESM1-0-LL, INM-CM5-0, CanESM5, BCC-ESM1, and ACCESS-CM2 models from the CMIP6 report and SSP scenarios (SSP1.2.6, SSP3.7.0, and SSP5.8.5 scenarios) were used to predict the amount of evapotranspiration in the Ahar Chay ...
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In this study, the ALARM method (Analytical Land Atmosphere Radiometer Model) and UKESM1-0-LL, INM-CM5-0, CanESM5, BCC-ESM1, and ACCESS-CM2 models from the CMIP6 report and SSP scenarios (SSP1.2.6, SSP3.7.0, and SSP5.8.5 scenarios) were used to predict the amount of evapotranspiration in the Ahar Chay watershed. The results of the ALARM method were also compared with the FAO Penman-Monteith and Torrent-White methods. For this purpose, 72 Landsat 8 OLI sensor images related to row 168 and pass 33 were used. The results showed that the ALARM method had the highest correlation (R^20.915) and the lowest error (RMSE 1.493 and MSE 1.232 mm) with the Penman-Monteith method. The RMSE and MSE values for evapotranspiration in all the models studied were below 2.867, and the lowest RMSE and MSE values were for the ACCESS-CM2 model with numerical values of 0.198 and 0.165, respectively, in the SSP1.2.6 scenario. It is also worth noting that the models studied did not perform very well in evaluating the evapotranspiration parameter in the SSP5.8.5 scenario, and the RMSE and MSE values in all models were above 1. This value in SSP5.8.5 in the UKESM1-0-LL model has the highest evapotranspiration rates with numerical values of 2.867 and 2.735, respectively. Also, the amount of very high soil salinity, based on the NDSI and S indices, has increased by about 6,613.81 and 6,296.81 hectares, respectively, from 2013 to 2024, which has a correlation of 0.987 with the increasing trend of evaporation and transpiration in climate scenarios.
Mehdi Asadi; Khalil Valizadeh Kamran; Mohammad Baaghideh; Hamed Adab
Abstract
Monitoring evapotranspiration has important implications for global climate modeling. Therefore, the evapotranspiration rate of different land uses in the northern half of Ardebil province based on object-based classification with Kappa coefficient of 0.945 and overall accuracy of 0.956, using Landsat ...
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Monitoring evapotranspiration has important implications for global climate modeling. Therefore, the evapotranspiration rate of different land uses in the northern half of Ardebil province based on object-based classification with Kappa coefficient of 0.945 and overall accuracy of 0.956, using Landsat 8 images related to the date of 2018/7/1, using SEBAL and mountain SEBAL Estimated and compared with Penman-Monteith method. Based on the obtained results, the water levels with the amount of 9.61 and 9.5 mm / day have the highest evapotranspiration and urban and Bayer lands with mean values of 2.845 and 2.08 mm / day, respectively, in the methods of SEBAL and SEBAL Mountains have the lowest 24-hour evapotranspiration. Also, the amount of water requirement for pea crop was estimated to be 7.14 and 6.70 mm / day, respectively, for SEBAL and mountain SEBAL and was compared with the Penman-Monteith method at a value of 6.32 mm / day which has a mean absolute difference (MAD) of 0.60. In the following, the area of each land was extracted, which had the lowest amount of cultivated pea land with the area of 1202.62 hectares and the area (1147.25 hectares) declared by the Agricultural Jihad in Ardebil province was about 4.6 percent, which seems to be acceptable.
