Groundwater resources are essential for life and the survival of humans and the environment, but the quality and quantity of this valuable resource are threatened by several factors among them climate and weather parameters have the most important role. Also, replacement of groundwater takes a long time and is controlled by long-term climate parameters. In order to achieve sustainable development goals, in addition to evaluating the potential effects of climate change on groundwater management strategies for sustainable use of groundwater was also presented. For evaluation of the potential effects of climate change on groundwater a hybrid method which use a combination of AHP, MODFLOW and empirical models, was developed. In this study, 10 different GCM models under A2 and B1 scenarios and 20 different GCM models under RCP 4.5 and RCP 8.5 were used. By using the developed hybrid method, one of the most important disadvantages of conventional empirical models which is lack of consideration of physical properties, was resolved. The results of this hybrid method were a series of empirical equations, which are independent, cost-effective, rapid and simple to use equations for recharge estimation which could be used in different management purposes. The low values of RMSE which was about 4 to 8 for all equations and high values of the coefficient of determinations indicate that the models are accurate and reliable. Results showed that with a 20 percent decrease in precipitation, the recharge rate will decrease between 25 to 80 percent in various zones. Also with each meter increase of unsaturated thickness the recharge rate will decrease about 2 percent and with the increase in temperature of 1 ?C the recharge rate will decrease about 7 percent. Also results showed that recharge rate has a decreasing trend in all regions and overall, the total annual recharge rate will decrease in the plain. This reduction, especially in the west of the plain which is one of the most important sources of recharge supply, is considerable and will make the whole plain vulnerable . In general, based on obtained results little reduction in rainfall or increase in temperature would have significant effects on groundwater recharge in the region. Results of evaluation of climate change impacts on crop water requirement and irrigation water requirement of cropping pattern of the study area showed that the effect of climate change on crop water requirement is not very significant and the maximum increase is about 5.5%. But in case of irrigation water demands, the increase is considerable and for some crops it reaches to 18%. Among the existing crops in the cropping pattern barley, cumin, onion, wheat and forage crops are more sensitive and their water demand will increase significantly. With regard to the high cultivation area of these crops (about 65 percent of farmlands in the region), climate change could have a significant impacts on water resources consumption in the region. Therefore, based on these results and the existing cropping pattern, net irrigation demand under RCP 4.5 and RCP 8.5 scenarios will be predicted to increase about 7 and 11 percent, respectively. By considering irrigation efficiency in the region, this will result in about 35 and 50 million cubic meters over extraction from the aquifer for each of these scenarios. This additional exploitation causes a drop of 0.4 to 0.8 meters in groundwater table per year in the aquifer. In order to manage groundwater extraction, the optimum cropping pattern to avoid excessive groundwater draft was determined in accordance with the groundwater drought. In this study in order to determine groundwater drought a new index which is called GRDI was developed iired by SPI method and based on different probability distribution functions on the values of recharge in different zones in the plain. The GRDI index for different zones within the region was calculated, using the data from 30 years (1980 to 2010). In each zone, due to the physical and climatic conditions affecting recharge rate, a specific distribution function was selected. Based on this index, groundwater drought has frequently occurred in these regions since 1981. According to the obtained results, the developed index (GRDI) compared to other indices has several basic features, including, the ability to predict drought in groundwater, considering possible effects of basin characteristics on groundwater drought, capability of using different methods and models to calculate the GRDI d separating the human effects on the hydrological system from natural drought. Therefore, the index could be used in the forecasting and warning systems for management and planning purposes. The results of optimization of cropping pattern for the region showed that the cultivation of crops such as ricesugar beet, cotton, tobacco and maize