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In this study, a Genetic Algorithm model for optimal operation of a multi-reservoir and multiobjectivewater resource system in Ghezel Ozan watershed for hydropower generation and flood control isdeveloped. The system is made of two reservoirs in series on the Ghezel Ozan’s river. This model is used foroptimal reservoir operation, allocation of water among different power plants and keeping a part of storagevolume to control the probable floods using a definite combination of decision variables (Release of water tothe power plants). The model operation for 12 months of a year shows that, the amount of releases inflooding months of the year is more than others.

The impact of climate change on hydrologic design and management of hydro systems could be one of the important challenges faced by future practicing hydrologists and water resources managers. Because of the increasing demand for water, studying the potential climate change and its impacts on water resources is necessary. The purpose of this paper is to predict the climate change based on the General Circulation Models (GCM), by applying two weather generators, namely SDSM and LARS-WG, at the Golestan province of Iran, in the period of 2011-2040 and compare their Result for a variety of different weather characteristics of the observed and synthetic weather data such as, the lengths of wet and dry series, the distribution of precipitation and Temperature. After modeling different Result obtained from SDSM and LARS-WG Models, will be compare to select the best climate change model for the case study.

The impact of climate change on hydrologic design and management of hydro systems could be one of the important challenges faced by future practicing hydrologists and water resource managers. Issues such as risk, reliability and robustness of water resources systems under different climate change scenarios were addressed in the past. Also Changes in temperature and precipitation patterns have serious impacts on the quantity and quality of water supply. Because of the increasing demand for water, studying th change and its impacts on water resources is necessary. To predict the climate change based on the General Circulation Models (GCM), the successful downscaling tool of LARS is applied. This stochastic weather generator downscaled the climate change of Hashemabd synoptic station in the Golestan province of Iran by using the HADCM3 model and emission scenarios in the period of 2011-2040. A real example is presented to illustrate the applicability of a LARS WG Model for generating these parameters and direction of climate change. The results show increase in solar radiation and decrease in precipitation almost in all of the months, also not changing in minimum and maximum temperatures. The results show that, in general, LARS-WG model performance in meteorological variables modeling is appropriate and could advise the decision makers to take suitable actions in securing the water supply and it can be used to recover data station or to extend the data to the future period. Also it can be used in the assessment of future climate of province in a local scale. The impact of climate change on hydrologic design and management of hydro systems could be one of the important challenges faced by future practicing hydrologists and water resource managers. Issues such as risk, reliability and es systems under different climate change scenarios were addressed in the past. Also Changes in temperature and precipitation patterns have serious impacts on the quantity and quality of water supply. Because of the increasing demand for water, studying the potential climate change and its impacts on water resources is necessary. To predict the climate change based on the General Circulation Models (GCM), the successful downscaling tool of LARS-WG is applied. This stochastic weather generator downscaled the climate change of Hashemabd synoptic station in the Golestan province of Iran by using the HADCM3 model and emission 2040. A real-life case study example is presented to illustrate the applicability of a LARS-enerating these parameters and direction of climate change. The results show increase in solar radiation and decrease in precipitation almost in all of the months, also not changing in minimum and maximum temperatures. The WG model performance in meteorological variables modeling is appropriate and could advise the decision makers to take suitable actions in securing the water supply and it can be used to recover data station or so it can be used in the assessment of future climate of province in a local scale.