Population growth and consequently, the extension of water demands caused sharp increasing water use in the agricultural and industrial sectors. This increase in demands, which has been accompanied by an increase in the rate of groundwater extraction, caused irreparable damage. Land subsidence caused by groundwater exploitation is one of the most critical issues that many countries in the world now get involved as a big problem. For instance, in the past two decades, the Damane-Daaran aquifer in Gavkhoni river basin has been abandoned due to the land subsidence caused by the over-extraction of groundwater. The occurrence of subsidence is because of the drawdown due to the extraction of groundwater so that water from the pores of the soil will be evacuated because of the pressure of the upper layers. The subsidence will become more critical if the over-extraction of groundwater causes the aquifer to miss the elastic behavior, in which case the changes will become inelastic, and the possibility of the aquifer rehabilitation will be eliminated. In this research, groundwater rehabilitation to the reduction of land subsidence is presented, assessed, and analyzed. Therefore, a modeling tool has been used to understand the behavior of aquifer. First, a groundwater flow model was developed in ModelMuse software from 2011 to 2018 water year with the calibration, validation in steady-state and unsteady-state condition and the period of 2019 to 2024 for prediction. Subsequently, the SWT package was used in ModelMuse software to model land subsidence, and the calibration, validation, and prediction had done. For calibration and validation of land subsidence modeling, the process results of 52 Sentinel-1 satellite images were used. The high rate of land subsidence in the aquifer, especially in agricultural land, determines the necessity of management scenarios to reduce this phenomenon. Presented scenarios are; 1- continuation of an existing trend, 2-4- respectively 25%, 50% and 75% reduction in groundwater extraction from wells, 5- A 200% increase in recharge rates of critical areas. After the implementation of each scenario on land subsidence model, their effects on decreasing land subsidence rates are assessed and analyzed by comparing with scenario1 then compared with other scenarios to ranking them. The results show that the general trend of land subsidence complies with the process of changes in the water level, which is nonlinear and involves other factors such as thickness, storage properties, and the thickness of interbeds and so on. Therefore, it can be said that pumping reduction scenarios will have a significant effect on controlling land subsidence. The results show that if the current process of groundwater extraction continues, the maximum land subsidence will be 0.65m, while in the case of scenarios 2 to 4, this value will be 0.52, 0.41 and 0.31m respectively so that with the implementation of scenario 4, the subsidence rate is almost zero. Also, the average drawdown in the aquifer in scenario 1 is 11.5 m, and this value will be reduced under the scenarios 2-4 to 10, 7.5, and 4.15 m, respectively. These scenarios can be implemented by lowering the crop area or changing the crop pattern by planting the products with lesser water requirements. On the other hand, scenario 5 was only effective for the quantity rehabilitation of aquifer and not for reduction of land subsidence rate, so that under this scenario the maximum land subsidence reached 0.65 m, which is almost constant relative to scenario 1, and the average drawdown was 10.2 m that was 1.3 m lower than scenario 1. In this case, the quantity of groundwater rehabilitation is due to the moistening of the dry cells of the aquifer during the simulation period. Finally, the priority of scenarios to reduce land subsidence is, respectively, scenario 4, scenario 3, scenario 2, and scenario 5. Also, the results show that the areas with the high rate of land subsidence are largely in line with the agricultural land of the western and central aquifers, and emphasize to the corrective actions related to the type of crops grown, irrigation and the amount of water harvesting in these areas. It should be noted that the reported numbers are related to cumulative drawdown and land subsidence from 2011 to 2024. Key Words : Land Subsidence, ModelMuse, Rehabilitation of Aquifer, Groundwater Flow Simulation, Scenario Analysis, Damane-Daran