Ata ghafari gilandeh; vahid safarian zengir
Abstract
In the current research, based on the data of the satellite images of the MODIS sensor, located on the Terra and Aqua satellites and the GRACE gravimetric satellite, with the innovative approach of algorithm and coding in the web system of Google Earth Engine in the cities of the provinces (Golestan, ...
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In the current research, based on the data of the satellite images of the MODIS sensor, located on the Terra and Aqua satellites and the GRACE gravimetric satellite, with the innovative approach of algorithm and coding in the web system of Google Earth Engine in the cities of the provinces (Golestan, Mazandaran and Gilan) and within the interval of years 2001 to 2022; Estimation and analysis of changes trend in snow surface area, snow depth, snow equivalent water and underground water aquifer changes in the studied area were done. According to the obtained results, the highest surface area of snowfall with a value of 9496.01 Km2 occurred in 2005 and the lowest with a value of 2906.21 Km2 in 2010, while the maximum amount of snow depth with a value of 0.07 meters in 2008 and the highest water equivalent of snow was obtained with a value of 10 kg/m2 in 2008, and this shows the high correlation between snow depth and water equivalent of snow. The results of the investigation of the groundwater aquifer based on the three CSR, GFZ and JPL models in the studied years showed that the maximum volume of the groundwater aquifer with a value of 12.5 cm was in 2005 and the lowest with a value of -27.5 cm is in 2017. The findings of the research show the decrease in the groundwater aquifer in relation to the decrease in snowfall in the study area.
