رضا ایوبی کیا

Increasing energy demand has made improving the management of resource utilization and energy inevitable. The purpose of this article is to compare the power generation of two power plants of Karun 4 and Rudbar dams in the period of 1397-98 in two cases with flood forecasting and warning without applying and paying attention to flood warning and finally estimating economic benefits and revenues. It is a prediction of the use of this system. Flood forecasting and warning systems are among the non-structural methods of flood management that in combination with structural methods can increase the efficiency of flood management. This system timely warnings through planning and management of dam reservoir operation, enables the creation of broad benefits in reducing flood damage lands. In addition to these benefits, another part of the positive effects of these systems is the increase in electricity production in hydropower plants. The results of this study show that the amount of electricity generation in the power plants of dams in the state of flood warning activity by increasing the release from the turbines of power plants before the flood and preventing overflow, 3.9 and 4.8% more than Flood alert mode is desired during the annual interval.

Flood assessment and forecasting its potential volume is one of the main problems of catchment managers, which needs more cooperation from flood forecasters, users, managers and water users in the region to prevent financial and human losses. The purpose of this study is to provide an appropriate solution to establish a flood forecasting system based on the cooperation of model developers, users and managers in order to improve management and reduce flood damage. In this study, to predict the flow in 5 basins of Karun 4 Dam, Seymareh Dam, Rudbar Dam, Sardasht Dam and Azad during seven years, meteorological maps of two models, COLA and WRF, were used to predict precipitation. The developed NAM simulation model led to forecasting floods in the coming days of the basin and reducing financial and human losses. The results of the reports indicate that 70% of the forecasts are in the observational flood range.

Because of the significant impact of water on economic development, social stability and ecological balance, the allocation of water resources has become a worldwide issue. In this paper, a multi-objective planning model consist of two objective functions was developed for water allocation to maximize the productivity of economical benefit and the equity of water allocation in Sefidroud basin located in Iran. A Compromise Programming method was applied to trade off both the objective functions. The different weights of the objective functions and the definitions of TDS, DSA and DSB schemes were investigated in terms of equity, economical benefit productivity and equity establishment. The results showed that TDS is the best scheme for balancing the target functions. With the except of TDS, surface water allocation and economical benefit do not follow a particular pattern in other weights of target functions, so that decision makers are confused to choose the best weights of the objective functions. Shannon Entropy theory is a suitable solution for selecting the best weights of the objective functions. The results obtained by applying the Shannon Entropy theory showed that the best weights of the objective functions for the productivity of economical benefit and water allocation equity according to the decision maker’s priority were 0.35 and 0.65, respectively. Generally, the results of this study showed that if decision maker’s priorities were not clear, Shannon Entropy theory and Compromise Programming method could be used to determine the weights of each objective functions in order to make a balance among the objective functions.

Increasing water demands and insufficient water resources has became the main reasons of raising water conflicts among stakeholders in Sefidroud basin. Sustainable allocation of water resources with viewpoint of economic efficiency and social equity is necessary to reduce these conflicts. Hence, they was assessed in Sefidroud basin, Iran. Sustainability of water allocation as the model constraint guarantees the minimum environmental requirements in water resource planning. In this study, a multi-objective programming model was developed to supply the requirements of the environmental, industrial and agricultural sectors in Sefidroud basin. The objects of the model were the maximizing of the economic benefit efficiency for the development of improved water allocation strategies as well the maximizing of the water allocation equity (measured by using of the Gini coefficient). NSGA-II algorithm was used to solve the developed multi-objective programming model. The best solution among pareto front was selected according to equilibrium viewpoint because of considering economic efficiency and social equity among stakeholders simultaneously. Additionally, two scenarios were defined in term of the rate of water loss and available water to assess the developed multi-objective programming model. The results showed that river basin authorities should decrease the rate of water loss and increase the available water to improve water allocation efficiency and equity. Additionally, the decrease in available water had highest impact on water allocation equity, but it had least impact on economic benefit efficiency. Furthermore, it should be considered for implementing water-saving policies according to critical conditions of water resources.