SIMULATION MODELING OF RUNOFF REGULATION BY AN IRRIGATION WATER RESERVOIR UNDER THE CONDITIONS OF LOW-WATER

2020 ◽  
pp. 106-111
Author(s):  
I.G. VELIEV ◽  
◽  
V.V. ILJINICH ◽  
A.V. PERMINOV
Keyword(s):  
Reservoir Operation ◽  
Simulation Modeling ◽  
River Flow ◽  
Water Reservoir ◽  
Reservoir Management ◽  
Water Yield ◽  
Short Term ◽  
Runoff Regulation ◽  
Comparison Of The Results ◽  
Operation Schedule

The article is dealt with the analysis of the Krasnodar water reservoir operation carried out under various options for regulating river flow. The considered options for water reservoir management were implemented in accordance with the current operation schedule and new regulations developed on the basis of simulation modeling using the IMIT-BALANS model which uses optimization elements. Previously this model was adapted by means of a more detailed discreteness of intra-annual intervals. Comparison of the results of the reservoir operation in relation to the deficient planned water yield for dry year conditions showed that the developed new regulations for reservoir management for low water years are much more effective. Their use by the decision-maker (DM) would reduce deficit of water consumption provided that short-term and medium-term runoff forecasts are used.

Regulation of flow by an irrigation reservoir taking into account storm precipitation data from river basin weather stations

2020 ◽  
pp. 33-37
Author(s):  
Il'yas Veliev ◽  
Vitaliy Il'inich ◽  
Aleksandr Kavalli
Keyword(s):  
River Flow ◽  
Irrigation System ◽  
Water Reservoir ◽  
Scientific Paper ◽  
Storage Management ◽  
Rice Fields ◽  
Short Term ◽  
Irrigation Reservoir ◽  
Weather Stations ◽  
The Stability

The scientific paper is devoted to development the methodology of the rules for control of water reservoirs in the south of the European territory of Russia (ETR), the relevance of that has determined by necessary for more reliable and efficient of river flow regulation. The studies has based on the data of synchronous observations at the region weather stations and of corresponding runoff to the Krasnodar reservoir, it provides rice fields. A correlation analysis between rainfall at weather stations and the corresponding flood volumes have gave possibility to evaluate their rate of dependence. So a predictor weather stations were chosen, which allowed to select decisions in respect to control by water resource of the reservoir. The analysis of traditional and improved rules for control of the reservoir has carried out using a simulation model of its functioning. It has based on the balance formula for water reservoir, taking into account the logical conditions of the traditional dispatch rules for control by reservoir, which designed to compensate for water deficits in rice fields and to be safe during catastrophic floods. The model makes it possible to change the rules of water storage management taking into account short-term forecasts of precipitations and runoff for modeling according to five-day period (pentad) discreteness. The obtained results confirmed the hypothesis about the possibility of reducing the likelihood of emergencies during the catastrophe of catastrophic floods with the stability of the planned water consumption of the irrigation system.

Deep Water Reservoir Management Using Fast Turnaround Integrated Reservoir Modelling Workflow

2016 ◽  
Author(s):  
Bert-Rik de Zwart ◽  
Jose Varghese ◽  
Prasanta Nayak ◽  
Aloke Saha ◽  
Anna Numpang ◽  
...  
Keyword(s):  
Deep Water ◽  
Water Reservoir ◽  
Reservoir Management ◽  
Reservoir Modelling

scholarly journals Tree-based reinforcement learning for optimal water reservoir operation

2010 ◽  
Vol 46 (9) ◽  
Author(s):  
A. Castelletti ◽  
S. Galelli ◽  
M. Restelli ◽  
R. Soncini-Sessa
Keyword(s):  
Reinforcement Learning ◽  
Reservoir Operation ◽  
Water Reservoir

scholarly journals Changes in short term river flow regulation and hydropeaking in Nordic rivers

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Faisal Bin Ashraf ◽  
Ali Torabi Haghighi ◽  
Joakim Riml ◽  
Knut Alfredsen ◽  
Jarkko J. Koskela ◽  
...  
Keyword(s):  
River Flow ◽  
Flow Regulation ◽  
Short Term

scholarly journals Formulated Mathematical Model for Delayed Particle Flow in Cascaded Sub-Surface Water Reservoirs with Validation on River Flow

2018 ◽  
Author(s):  
Ombaki Richard ◽  
Kerongo Joash ◽  
Okwoyo M. James
Keyword(s):  
Mathematical Model ◽  
Time Delay ◽  
Surface Water ◽  
Discrete Time ◽  
River Flow ◽  
Water Reservoir ◽  
Point Sources ◽  
Water Reservoirs ◽  
Discrete Time Delay ◽  
Mixing Problem

Pollution of sub-surface water reservoirs mainly rivers and streams through contaminated water point sources (CWPS) was studied. The objective was to formulate a discrete time delay mathematical model which describes the dynamics of reservoir pollution using mixing-problem processes that involve single species contaminants such as nitrates, phosphorous and detergents. The concentration  of pollutants was expressed as a function of the inflow and outflow rates using the principle for the conservation of mass. Systems of ODEs generated from principles of mixing problems were refined into a system of DDEs so that the concentration of pollutant leaving the reservoir at time would be determined at some earlier instant, for the delay. The formulated model is a mathematical discrete time delay model which would be used to describe the dynamics of sub-surface water reservoir pollution. The results from the validation of the model were analyzed   to determine how time delays in the mixing processes affect the rate of particle movement in water reservoirs.

scholarly journals EFFECTS OF WELDING PARAMETERS, TIME INTERVAL AND PREHEATING ON RESIDUAL STRESS AND DISTORTION OF JOINING ST52 STIFFENER RING IN AN AISI 4130 TUBULAR SHELL

2020 ◽  
Vol 3 (1) ◽  
pp. 11-15
Author(s):  
Alireza M. Haghighi ◽  
Farhad S. Samani
Keyword(s):  
Residual Stress ◽  
Welding Current ◽  
Welding Parameters ◽  
Time Interval ◽  
Negative Effects ◽  
Short Term ◽  
Welding Line ◽  
Aisi 4130 ◽  
Comparison Of The Results

Stiffener rings and stringers are used commonly in offshore and aerospace structures. Welding the stiffener to the structure causes the appearance of residual stress and distortion that leads to short-term and long-term negative effects. Residual stress and distortion of welding have destructive effects such as deformation, brittle fracture, and fatigue of the welded structures. This paper aims to investigate the effects of preheating, time interval and welding parameters such as welding current and speed on residual stress and distortion of joining an ST52-3N (DIN 1.0570) T-shape stiffener ring to an AISI 4130 (DIN 1.7218) thin-walled tubular shell by eleven pairs of welding line in both sides of the ring by means of finite element method (FEM). Results in tangent (longitudinal), axial and radial directions have been compared and the best welding methods proposed. After the comparison of the results, simultaneous welding both sides of the ring with preheating presented as the best method with less distortion and residual stresses among the studied conditions. The correctness of the FEM confirmed by the validation of the results.

Computer-Aided Water Reservoir Management: A Prototype Two-Level DSS

1991 ◽  
pp. 527-574 ◽  
Author(s):  
R. Soncini-Sessa ◽  
C. Gandolfi ◽  
A. Nardini ◽  
A. Kraszewski
Keyword(s):  
Water Reservoir ◽  
Reservoir Management ◽  
Computer Aided

scholarly journals Water Reservoir Multiobjective Optimal Operation Using Grey Wolf Optimizer

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Alireza Donyaii ◽  
Amirpouya Sarraf ◽  
Hassan Ahmadi
Keyword(s):  
Climate Change ◽  
River Flow ◽  
Water Reservoir ◽  
Vulnerability Index ◽  
Optimal Operation ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Release Rates ◽  
Reliability Indices ◽  
Reservoir Release

This study develops the Multiobjective Grey Wolf Optimization (MOGWO) algorithm to obtain the optimum rules on the operation of the Golestan Dam in Golestan Province, Iran, under the climate change conditions. The tow objective functions defined in the optimization process include minimizing the vulnerability and maximizing the reliability indices of the model under baseline and climate change conditions periods. Results showed that the river flow would decline by 0.17 percent of the baseline period under climate change conditions in addition to increasing the temperature by 20%, as well as decreasing the rainfall by 21.1%. Moreover, the extent of vulnerability index variations in baseline and climate change conditions was 16–45% and 10–43%, respectively. The range of reliability index variations in baseline and climate change conditions was 47–90% and 27–93%. On the other hand, the vulnerability index has also been measured at 29% and 27% for baseline and climate change conditions, respectively, with 75 percent of reliability. Comparison of the reservoir release rate and water demands for all of the Pareto points indicates a rise in release rates for climate change conditions relative to the baseline one; as the result, the higher adjustment in the reservoir release rates to its demand volumes will be highlighted as the higher dam efficiency in climate change conditions.

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