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  • Articles  (5)
  • forecasting  (3)
  • cell  (2)
  • 1990-1994
  • 1985-1989  (5)
  • 1955-1959
  • 1950-1954
  • 1987  (5)
  • 1959
  • Architecture, Civil Engineering, Surveying  (5)
  • 1
    Electronic Resource
    Electronic Resource
    Rainfall-runoff forecasting methods, old and new (1987)
    Springer
    Stochastic environmental research and risk assessment 1 (1987), S. 303-318 
    Details
    ISSN: 1436-3259
    Keywords: Rainfall-runoff models ; forecasting ; unit hydrograph
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Energy, Environment Protection, Nuclear Power Engineering , Geography , Geosciences
    Notes: Abstract Here we review the main thrusts of rainfall-runoff modelling with an eye toward the advantageous use of the massive date sets being accumulated and the modern computers capable of dealing effectively with such sets. More than a tutorial, this study is aimed at providing a unifying structure for analyzing available techniques. The closing section draws attention to the existence of an alternative methodology.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01543102
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  • 2
    Electronic Resource
    Electronic Resource
    Pool fires under atmosphere and ventilation in steady-state burning (part II) (1987)
    Springer
    Fire technology 23 (1987), S. 186-197 
    Details
    ISSN: 1572-8099
    Keywords: Pool fire ; burning rate ; mass loss rate ; cell ; ventilation ; atmosphere ; burning parameters ; fire model ; solvent
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Abstract Two pool fire tests for solvent burning were made to obtain the burning rate and the mass loss rate from burning pans under atmosphere and ventilation in a cell. From the data, burning parameters for the Spalding's modified model reported in Part I were determined in steady-state pool burning.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01036935
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  • 3
    Electronic Resource
    Electronic Resource
    Pool fires under atmosphere and ventilation in steady-state burning (part I) (1987)
    Springer
    Fire technology 23 (1987), S. 146-155 
    Details
    ISSN: 1572-8099
    Keywords: Pool fire ; fire model ; burning parameters ; burning rate ; mass loss rate ; Spalding's theory ; cell ; ventilation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Abstract Modeling based on Spalding's theory was undertaken to obtain information on a solvent pool fire under atmosphere and ventilation in steady-state burning. The model comprised the modified B-number with burning parameters governing the burning rate of solvent. Mass loss rate and burning rate of solvent from the burning pan were governed by heat conduction through the pan wall for small pans and by turbulent free convective heat transfer for large pans.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01040429
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  • 4
    Electronic Resource
    Electronic Resource
    The reliability of using the gravity model for forecasting trip distribution (1987)
    Springer
    Transportation 14 (1987), S. 175-192 
    Details
    ISSN: 1572-9435
    Keywords: gravity model ; trip distribution ; forecasting
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Abstract The main purpose of this study is to assess the forecasting capability of the gravity model and to investigate the merit of including K-factors when using the model. Peak hour trip data was obtained for four study year periods 1962, 1971, 1976 and 1981 for the City of Winnipeg. Analysis of the calibration results indicated that the F-factors for the twenty year period were stable within a range of values. In general, however, the K-factors were found to be inconsistent from one prediction period to the next, and when used in forecasting trips they resulted in larger errors than without their use. The validity of using K-factors or the method which has been used to determine them is questionable. It was concluded that while K-factors are very meaningful in theory (as defined), they are not appropriate for use in predicting O-D matrices based on the method by which they are currently estimated (i.e. as a simple ratio). Further study is needed to investigate an alternative method of calibrating the gravity model such as the cell-by-cell regression method.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00837528
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  • 5
    Electronic Resource
    Electronic Resource
    An investigation of the instrumental variable-approximate maximum likelihood method of modeling and forecasting daily flows (1987)
    Springer
    Water resources management 1 (1987), S. 79-106 
    Details
    ISSN: 1573-1650
    Keywords: Daily flows ; forecasting ; instrumental variable method ; parameter estimation ; rainfall filter
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Notes: Abstract The instrumental variable-approximate maximum likelihood (IV0AML) method provides a technique to develop better models for short-time increment hydrologic data. In this method, a recursive input-output model, which consists of a deterministic model and a stochastic noise model are used. These models handle the system and measurement noise separately. The instrumental variable method has been developed to eliminate the bias in parameter estimates. The IV-AML method is investigated in the present study. Parameters of daily rainfall-runoff models are estimated by the IV-AML and by least squares methods and compared. The effects of a rainfall filter on parameter estimates are also investigated. Forecast accuracies of models whose parameters are estimated by IV-AML and least squares methods are compared. The results indicate that the forecast accuracy of models whose parameters are estimated by least squares method is comparable to that of models whose parameters are estimated by IV-AML method. The rainfall filter, on the other hand, reduces the parameter variation and improves forecasts.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00422650
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