3rd International Youth Forum on Soil and Water Conservation

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عنوان انگلیسی Predicting Land Subsidence Based on Groundwater Level changes and Using Radar Interferometry (InSAR) Technique and Regression Statistical Equations (Case Study: Varamin Plain)
چکیده انگلیسی مقاله Vertical movement of the earth's crust is one of the most important geological phenomena that appears in the form of subsidence and uplift.Numerous reports of land subsidence, especially in arid and low rainfall areas, have been presented, and Iran is no exception due to its location in the arid and low rainfall belt of the world. One of the most important factors influencing the subsidence phenomenon, which has been studied by many researchers around the world, is the changes in water levels in different aquifers.For this purpose, Varamin plain was selected as one of the strategic plains of the Iran in Tehran province.According to the approach of this research, in order to evaluate the changes in ground elevation from 2014 to 2019, the radar interference technique (InSAR) was used and satellite images were analyzed by SNAP software .Finally, by evaluating changes in aquifer level through observation wells and land surface changes in the study area and comparing statistical models, it was found that the linear regression model has a more favorable predictive power than the parabolic regression model And is grade 3. In continuation, the changes of water level changes in the next 4 years (2019-2023) according to the regression model were predicted in linear ways and based on that, the rate of land surface changes was evaluated. The results showed that according to the current trend of aquifer decline, the maximum amount of subsidence in the linear model is equal to -266/74 cm in the center of Varamin in the coming period.
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نویسندگان مقاله athari|hashemi|azizi

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