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  • Articles  (5)
  • reservoir operation  (5)
  • Springer  (5)
  • American Meteorological Society
  • Blackwell Publishers Ltd.
  • Elsevier
  • Sage Publications
  • 1995-1999  (4)
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  • 1999  (2)
  • 1995  (2)
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  • Architecture, Civil Engineering, Surveying  (5)
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  • Articles  (5)
Publisher
  • Springer  (5)
  • American Meteorological Society
  • Blackwell Publishers Ltd.
  • Elsevier
  • Sage Publications
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  • 1995-1999  (4)
  • 1990-1994  (1)
  • 1965-1969
  • 1955-1959
  • 1950-1954
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Topic
  • Architecture, Civil Engineering, Surveying  (5)
  • Geography  (5)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Water resources management 4 (1990), S. 21-46 
    ISSN: 1573-1650
    Keywords: Flood control ; unsteady flow ; reservoir operation ; optimization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Notes: Abstract A methodology and model have been developed for the real-time optimal flood operation of river-reservoir systems. This methodology is based upon combining a nonlinear programming model with a flood-routing simulation model within an optimal control framework. The generalized reduced gradient code GRG2 is used to perform the nonlinear optimization and the simulator is the U.S. National Wheather Service DWOPER code. Application of the model is illustrated through a case study of Lake Travis on the Lower Colorado River in Texas.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Water resources management 13 (1999), S. 409-426 
    ISSN: 1573-1650
    Keywords: hedging rule ; neural networks ; reservoir operation ; simulation–optimisation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Notes: Abstract This article presents a methodology for planning a modelfor the operation of a drinking water reservoir. The hedging ruledistributes deficits over a longer period of time by rationingthe supply of water and it makes the system sustainablewith a marginal reduction in supply. A methodology isdeveloped and demonstrated through a case study withthe Chennai city (India) water supply system which isa water shortage system requiring an efficient use ofwater. It is aimed at improving the reservoiroperation performance through the simulation–optimisationprocedure with the application of the hedging rule, whichis a more appropriate rule for reservoir operationunder deficit conditions. To speed up the optimisationprocess, a neural network model is developed for thesimulation of the reservoir system operation and is usedinstead of a conventional simulation model. Thecombined neural network simulation–optimisation modelis used for screening the operation policies.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Water resources management 9 (1995), S. 115-126 
    ISSN: 1573-1650
    Keywords: Stochastic model ; forecasting ; reservoir operation ; uncertainity analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Notes: Abstract This paper deals with stochastic modelling of monthly inflows into a reservoir system in the monsoon climatic coditions using a multiplicative seasonal ARIMA model based on 25 years of data with logarithmic transformation. The developed model was applied to forecast the monthly inflows for 27 years. The comparison of these forecasted flows with the actual flows reveals that the ARIMA family models are adequate for longterm forecasting of inflows. The parameter uncertainity was also evaluated and found to be minimal thus avoiding the frequent updating of the model for forecasting. The use of the model in evolving optimal cropping patterns and optimal operational policies is also highlighted.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Water resources management 13 (1999), S. 427-442 
    ISSN: 1573-1650
    Keywords: chance-constrained programming ; correlation analysis ; hydropower planning ; Manitoba Hydro ; reliability programming ; reservoir operation ; stochastic hydrology
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Notes: Abstract Reliability programming formulations offer a family ofexplicit stochastic models for planning the operationof complex water resources systems. These models usecumulative probability distributions of the sum ofinflows to characterize their variability in theplanning period. Applicability of these models for avariety of problems has been limited, mainly due tothe assumption of independence between inflows indifferent time periods that leads to the derivation ofconservative operating policies. This paper presentsthree new approaches to overcome this limitation. Theperformance of the proposed approaches is demonstratedthrough comparison of the operating policies derivedfrom these approaches and the Independent Approach. Operational planning of the Manitoba Hydro energygeneration system, a predominantly hydro-based utilitycompany in Manitoba (Canada), is used as the case study.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Water resources management 9 (1995), S. 67-80 
    ISSN: 1573-1650
    Keywords: Rainfall forecasts ; ITCZ ; real-time flow management ; reservoir operation ; Cameroon ; hydro-electricity
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Notes: Abstract A method has been developed to produce 8-day forecasts or estimates of future rainfall over the 132 000 km2 Sanaga basin in Cameroon. The estimates provide the input to a real-time flow management system which determines optimum reservoir releases to achieve expected power demands, and thereby tries to make the most effective possible use of the water resources of the basin. Attempting to forecast deterministically for up to 8 days ahead was not thought to be practicable, and a probabilistic approach was taken instead. This means that each forecast is associated with a reliability or probability of exceedance. In the initial technique, based on an analysis of historic data, the forecasts are determined by the date only. An additional forecasting method was also developed which includes the current position of the FIT (the local name for the ITCZ) as a causative factor but still maintains the forecasts on a probabilistic basis. This uses the variation of the FIT from its usual position for the time of year to determine whether the forecast rainfall should be greater or less than the standard forecast for that date, and so includes some ability to take account of the variability of rainfall. The forecasting system is believed to be a novel approach to a problem which has not been tackled before. While far from providing a complete solution to the problem of rainfall forecasting in real-time basin management, it does illustrate an approach that can be attempted in the absence of reliable deterministic techniques.
    Type of Medium: Electronic Resource
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