Mohammad Heydari

Developing Optimal Reservoir Operation for Multiple and Multipurpose Reservoirs Using Mathematical Programming

Over the last decades, the increasing water demand has caused a number of problems, to which reservoir operation optimization has been suggested as one of the best solutions. In this research, a model based on mixed integer linear programming (MILP) technique is developed for the systematic operation of multireservoirs that are used to cater for the different needs of the Tehran-Karaj plain. These reservoirs include Laar, Latian, and Karaj dams. The system configuration was accomplished through the nodes and arcs of the network flow model approach and system component implementation including sources, consumption, junctions, and the physical and hydraulic relationship between them. The following were performed via comprehensive developed software: system configuration, objective function and constraints formulation, linearization, determining penalty values, and setting priorities for each node and arc in the system. A comparison between the MILP developed model’s results against the periodic data shows 21.7% less overflow, 11.6% more outflow, and 15.9% more reservoir storage, respectively. The outcome of the MILP-based modeling indicates superior performance to the historical period.

Floodplain Zoning Simulation by Using HEC-RAS and CCHE2D Models in the Sungai Maka River

River flooding causes several human and financial casualties. It is necessary to perform research studies and implement subsequent actions consistent with the nature of the river. In order to reduce flood damage, floodplain zoning maps and river cross-sectional boundaries are important to nonstructural measures in planning and optimizing utilization of the areas around the river. Due to the complex behavior of the rivers during floods, computer modeling is the most efficient tool with the least possible cost to study and simulate the behavior of the rivers. In this study, one-dimensional model Hydrologic Engineering Centers–-River Analysis System and two-dimensional model CCHE2D were used to simulate the flood zoning in the Sungai Maka district in Kelantan state, Malaysia. The results of these two models in most sections approximately match. Most differences in the results were in the shape of the river.

Optimization of Multiple and Multipurpose Reservoir System Operations by Using Matrix Structure (Case Study: Karun and Dez Reservoir Dams)

Optimal operation of water resources in multiple and multipurpose reservoirs is very complicated. This is because of the number of dams, each dam’s location (Series and parallel), conflict in objectives and the stochastic nature of the inflow of water in the system. In this paper, performance optimization of the system of Karun and Dez reservoir dams have been studied and investigated with the purposes of hydroelectric energy generation and providing water demand in 6 dams. On the Karun River, 5 dams have been built in the series arrangements, and the Dez dam has been built parallel to those 5 dams. One of the main achievements in this research is the implementation of the structure of production of hydroelectric energy as a function of matrix in MATLAB software. The results show that the role of objective function structure for generating hydroelectric energy in weighting method algorithm is more important than water supply. Nonetheless by implementing ε- constraint method algorithm, we can both increase hydroelectric power generation and supply around 85% of agricultural and industrial demands.

Utilization of LARS of Meteorological Parameters in Golestan Province of Iran

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. KEYWORD Lars-WG, Downscaling, Meteorological Parameters, GCM. *Corresponding Author: E-mail r: m.noori.t@gmail.com Telephone Number r: : +989151019870 Fax. Number Utilization of LARS of Meteorological Parameters in Golestan Mohammad Noori 1, , Mohammad Bagher Sharifi 1 Department of Civil Engineering, Ferdowsi University 2 Department of Civil Engineering, 3 Department of Civil Engineering Volume 1, Issue 1, 2013 http://www.scijour.com