FIRM RESERVOIR YIELD—HOW RELIABLE ARE HISTORIC HYDROLOGICAL RECORDS?

作者: JAMES R. WALLIS , P. ENDA O'CONNELL

DOI: 10.1080/02626667309494046

关键词: LagAutocorrelationVariance (accounting)Statistical hypothesis testingEconometricsHydrology (agriculture)Stochastic processFunction (engineering)Computer scienceMagnitude (mathematics)

摘要: ABSTRACT Reservoirs are of necessity always built on the basis incomplete hydrological information which introduces uncertainty into their design and operation. Since advent electronic digital computer attempts have been made to reduce in reservoir management by use synthetic hydrology simulation. It has found simulation that expected benefits from a proposed system often function stochastic process selected for hydrology, as well depending upon magnitude, choice driving parameters (commonly, mean, variance, lag one serial correlation Hurst's ‘h’). is suggested records two short most statistical tests too weak hydrologist be able pick ‘the correct’ world with any reasonable degree certainty. However, it would appear many problems places there sufficient data th...

参考文章(30)
N.C. Matalas, Barbara Jacobs, A correlation procedure for augmenting hydrologic data Professional Paper. ,(1964) , 10.3133/PP434E
J. R. Wallis, N. C. Matalas, Sensitivity of reservoir design to the generating mechanism of inflows Water Resources Research. ,vol. 8, pp. 634- 641 ,(1972) , 10.1029/WR008I003P00634
Benoit B. Mandelbrot, A Fast Fractional Gaussian Noise Generator Water Resources Research. ,vol. 7, pp. 543- 553 ,(1971) , 10.1029/WR007I003P00543
R. L. Anderson, Distribution of the Serial Correlation Coefficient Annals of Mathematical Statistics. ,vol. 13, pp. 1- 13 ,(1942) , 10.1214/AOMS/1177731638
N. C. Matalas, J. R. Wallis, Statistical Properties of Multivariate Fractional Noise Processes Water Resources Research. ,vol. 7, pp. 1460- 1468 ,(1971) , 10.1029/WR007I006P01460
H E HURST, METHODS OF USING LONG-TERM STORAGE IN RESERVOIRS. Proceedings of the Institution of Civil Engineers. ,vol. 5, pp. 519- 543 ,(1956) , 10.1680/IICEP.1956.11503
N. C. Matalas, W. B. Langbein, Information content of the mean Journal of Geophysical Research. ,vol. 67, pp. 3441- 3448 ,(1962) , 10.1029/JZ067I009P03441
Benoit B. Mandelbrot, John W. Van Ness, Fractional Brownian Motions, Fractional Noises and Applications Siam Review. ,vol. 10, pp. 422- 437 ,(1968) , 10.1137/1010093
Ignacio Rodriguez-Iturbe, Jose M. Mejia, David R. Dawdy, Streamflow Simulation: 1. A new look at Markovian Models, fractional Gaussian noise, and Crossing Theory Water Resources Research. ,vol. 8, pp. 921- 930 ,(1972) , 10.1029/WR008I004P00921
James R. Wallis, Nicholas C. Matalas, Small Sample Properties of H and K-Estimators of the Hurst Coefficient h Water Resources Research. ,vol. 6, pp. 1583- 1594 ,(1970) , 10.1029/WR006I006P01583