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Jose Nilson Bezerra Campos - One of the best experts on this subject based on the ideXlab platform.
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modeling the yield evaporation spill in the Reservoir Storage process the regulation triangle diagram
Water Resources Management, 2010Co-Authors: Jose Nilson Bezerra CamposAbstract:From the dimensionless Reservoir water budget equation, a graphical method to model the yield–spill–evaporation loss trade-off in the Reservoir Storage process was built. The Reservoir inflows were transformed into three parts that sum to the total mean inflow for long-term operation: evaporation, spill and yield. A regulation triangle diagram (RTD) has been proposed to provide a better understanding of the Reservoir Storage process as a function of Reservoir capacity, hydrological river regime, evaporation and Reservoir morphology. The inflows were assumed to be serially uncorrelated and to originate from a Gamma probability distribution function. The diagrams were developed using the Monte Carlo method, while the graphics were developed for intermittent rivers with a coefficient of variation of annual inflows that ranges from 0.6 to 1.6. In the model, the Reservoir is a single over-year system, and the values are referenced to the steady state conditions. Copyright The Author(s) 2010
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Modeling the Yield–Evaporation–Spill in the Reservoir Storage Process: The Regulation Triangle Diagram
Water Resources Management, 2010Co-Authors: Jose Nilson Bezerra CamposAbstract:From the dimensionless Reservoir water budget equation, a graphical method to model the yield–spill–evaporation loss trade-off in the Reservoir Storage process was built. The Reservoir inflows were transformed into three parts that sum to the total mean inflow for long-term operation: evaporation, spill and yield. A regulation triangle diagram (RTD) has been proposed to provide a better understanding of the Reservoir Storage process as a function of Reservoir capacity, hydrological river regime, evaporation and Reservoir morphology. The inflows were assumed to be serially uncorrelated and to originate from a Gamma probability distribution function. The diagrams were developed using the Monte Carlo method, while the graphics were developed for intermittent rivers with a coefficient of variation of annual inflows that ranges from 0.6 to 1.6. In the model, the Reservoir is a single over-year system, and the values are referenced to the steady state conditions. Copyright The Author(s) 2010
Ralph A. Wurbs - One of the best experts on this subject based on the ideXlab platform.
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Assessment of Flood Control Capabilities for Alternative Reservoir Storage Allocations
Turkish Journal of Water Science and Management, 2017Co-Authors: Mustafa Demirel, Ralph A. WurbsAbstract:Multiple-purpose Reservoir system operations are based on the conflicting objections of maximizing Storage contents to assure high water supply reliability and maximizing empty Storage space to mitigate flood risk. Reallocation of Storage capacity between conservation and flood control purposes provides a strategy for optimizing limited available Storage capacity in response to growing demands and changing objectives. A modeling and analysis methodology is presented in the article for assessing alternative Reservoir Storage allocations. Flood control capabilities are evaluated in terms of the probabilities of overtopping the Storage capacities of the Reservoirs in the system. Water supply capabilities are quantified in terms of reliability metrics. Flood control analysis capabilities are implemented in a modeling system originally created for detailed assessments of water supply capabilities. The methodology is applied to a system of eight multiple-purpose Reservoirs in the Dallas and Fort Worth metropolitan area in the Trinity River Basin of Texas in the United States. The generalized modeling system and analysis methods are applicable to Reservoir systems located anywhere including systems that may be very complex.
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Short-Term Reservoir Storage Frequency Relationships
Journal of Water Resources Planning and Management, 2012Co-Authors: Ralph A. Wurbs, Spencer Schnier, Hector E. OlmosAbstract:AbstractThe water rights analysis package (WRAP) is a generalized river/Reservoir system simulation model that is routinely applied in Texas in regional and statewide planning studies and administration of the water right permit system. The WRAP modeling system was recently expanded by adding short-term Storage frequency and supply reliability analysis capabilities. Individual Reservoirs and multiple-Reservoir systems can be analyzed considering numerous water users and complex water management practices. The new modeling features are based on dividing the hydrologic period-of-analysis into many short-simulation sequences with each starting with the same Storage conditions. Two alternative frequency/reliability analysis methodologies, called the equal-weight and probability-array options, are compared in this paper with a case-study application. The probability array option is designed to improve the accuracy of Storage frequency estimates by modeling hydrologic persistence as reflected in the preceding r...
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Hydrologic simulation of Reservoir Storage reallocations
International Journal of Water Resources Development, 1993Co-Authors: Ralph A. Wurbs, Patrick E. CarriereAbstract:Abstract Operational modifications at existing Reservoir projects can be quite beneficial in responding to changing conditions and intensifying demands on limited resources. Computer simulation models are readily available for analysing Reservoir operations. A case study is presented which illustrates a general simulation modelling approach for evaluating reallocation of Storage capacity in existing Reservoir systems. A set of generalized simulation models, developed by the USACE Hydrologic Engineering Center, are used with monthly hydrologic data.
D. P. Passo - One of the best experts on this subject based on the ideXlab platform.
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Estimation of Small Reservoir Storage Capacities with Remote Sensing in the Brazilian Savannah Region
Water Resources Management, 2011Co-Authors: Lineu Neiva Rodrigues, Edson Eyji Sano, Tammo S. Steenhuis, D. P. PassoAbstract:Small Reservoirs play an important role in supporting the local economy in the savannah areas of Brazil and are primarily used for the provision of water for irrigation and watering livestock. Hundreds of small Reservoirs have been built in the last few decades in the Preto River Basin, but efficient water management and sound planning are hindered by inadequate knowledge of the number, Storage capacity and spatial distribution of Reservoirs in the basin. The main reason for the lack of this information is that current methodologies for quantifying the physical parameters of Reservoirs are laborious, time consuming and costly. To address this lack of data, a simple method to estimate Reservoir Storage volumes based on remotely sensed Reservoir surface area measured with LANDSAT was developed. The method was validated with a subset of Reservoirs in the Preto River Basin for which surface areas, shapes and depths were determined with ground-based survey measurements. The agreement between measured and the remotely sensed Reservoir volumes was satisfactory, indicating that remotely-sensed images can be used for improved management of water in the Brazilian Savannah region. With the newly developed methods we found that the Preto River Basin’s 147 small Reservoirs can store 19 × 10 6 m 3 of water at full capacity. Copyright Springer Science+Business Media B.V. 2012
Hector E. Olmos - One of the best experts on this subject based on the ideXlab platform.
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Short-Term Reservoir Storage Frequency Relationships
Journal of Water Resources Planning and Management, 2012Co-Authors: Ralph A. Wurbs, Spencer Schnier, Hector E. OlmosAbstract:AbstractThe water rights analysis package (WRAP) is a generalized river/Reservoir system simulation model that is routinely applied in Texas in regional and statewide planning studies and administration of the water right permit system. The WRAP modeling system was recently expanded by adding short-term Storage frequency and supply reliability analysis capabilities. Individual Reservoirs and multiple-Reservoir systems can be analyzed considering numerous water users and complex water management practices. The new modeling features are based on dividing the hydrologic period-of-analysis into many short-simulation sequences with each starting with the same Storage conditions. Two alternative frequency/reliability analysis methodologies, called the equal-weight and probability-array options, are compared in this paper with a case-study application. The probability array option is designed to improve the accuracy of Storage frequency estimates by modeling hydrologic persistence as reflected in the preceding r...
D. Moidinis - One of the best experts on this subject based on the ideXlab platform.
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The HYDROMED model and its application to semi-arid Mediterranean catchments with hill Reservoirs 3: Reservoir Storage capacity and probability of failure model
Hydrology and Earth System Sciences, 2001Co-Authors: R. Ragab, B. Austin, D. MoidinisAbstract:Abstract. This paper addresses the issue of "what Reservoir Storage capacity is required to maintain a yield with a given probability of failure?". It is an important issue in terms of construction and cost. HYDROMED offers a solution based on the modified Gould probability matrix method. This method has the advantage of sampling all years data without reference to the sequence and is therefore particularly suitable for catchments with patchy data. In the HYDROMED model, the probability of failure is calculated on a monthly basis. The model has been applied to the El-Gouazine catchment in Tunisia using a long rainfall record from Kairouan together with the estimated Hortonian runoff, class A pan evaporation data and estimated abstraction data. Generally, the probability of failure differed from winter to summer. Generally, the probability of failure approaches zero when the Reservoir capacity is 500,000 m3. The 25% probability of failure (75% success) is achieved with a Reservoir capacity of 58,000 m3 in June and 95,000 m3 in January. The probability of failure for a 240,000 m3 capacity Reservoir (closer to Storage capacity of El-Gouazine 233,000 m3), is approximately 5% in November, December and January, 3% in March, and 1.1% in May and June. Consequently there is no high risk of El-Gouazine being unable to meet its requirements at a capacity of 233,000 m3. Subsequently the benefit, in terms of probability of failure, by increasing the Reservoir volume of El-Gouazine to greater than the 250,000 m3 is not high. This is important for the design engineers and the funding organizations. However, the analysis is based on the existing water abstraction policy, absence of siltation rate data and on the assumption that the present climate will prevail during the lifetime of the Reservoir. Should these conditions change, a new analysis should be carried out. Keywords: HYDROMED, Reservoir, Storage capacity, probability of failure, Mediterranean
