Modelling stage—discharge relationships affected by hysteresis using the Jones formula and nonlinear regression

Abstract Gauging stations where the stage—discharge relationship is affected by hysteresis due to unsteady flow represent a challenge in hydrometry. In such situations, the standard hydrometric practice of fitting a single-valued rating curve to the available stage—discharge measurements is inappropriate. As a solution to this problem, this study provides a method based on the Jones formula and nonlinear regression, which requires no further data beyond the available stage—discharge measurements, given that either the stages before and after each measurement are known along with the duration of each measurement, or a stage hydrograph is available. The regression model based on the Jones formula rating curve is developed by applying the monoclinal rising wave approximation and the generalized friction law for uniform flow, along with simplifying assumptions about the hydraulic and geometric properties of the river channel in conjunction with the gauging station. Methods for obtaining the nonlinear least-squares rating-curve estimates, while factoring in approximated uncertainty, are discussed. The broad practical applicability and appropriateness of the method are demonstrated by applying the model to: (a) an accurate, comprehensive and detailed database from a hydropower-generated highly dynamic flow in the Chattahoochee River, Georgia, USA; and (b) data from gauging stations in two large rivers in the USA affected by hysteresis. It is also shown that the model is especially suitable for post-modelling hydraulic and statistical validation and assessment.

[1]  Peggy A. Johnson Uncertainty of Hydraulic Parameters , 1996 .

[2]  Muthiah Perumal,et al.  Approximate Convection-Diffusion Equations , 1999 .

[3]  P. Weinmann,et al.  Approximate Flood Routing Methods: A Review , 1979 .

[4]  S. Jain,et al.  Radial Basis Function Neural Network for Modeling Rating Curves , 2003 .

[5]  David A. Woolhiser,et al.  Unsteady, one‐dimensional flow over a plane—The rising hydrograph , 1967 .

[6]  D. B. Simons,et al.  Applicability of kinematic and diffusion models. , 1978 .

[7]  Benjamin E. Jones A method of correcting river discharge for a changing stage , 1916 .

[8]  Paul A. Ruud,et al.  On the uniqueness of the maximum likelihood estimator , 2002 .

[9]  Slobodan P. Simonovic,et al.  A computer-based system for modelling the stage-discharge relationships in steady state conditions , 1994 .

[10]  Kenneth Lange,et al.  Numerical analysis for statisticians , 1999 .

[11]  New perspective on the Vedernikov Number , 1991 .

[12]  Ayman Ibrahim,et al.  Hysteresis Sensitive Neural Network for Modeling Rating Curves , 1997 .

[13]  R. D. Jarrett Hydraulics of High-Gradient Streams , 1984 .

[14]  David R. Kincaid,et al.  Numerical mathematics and computing , 1980 .

[15]  R. Horton EROSIONAL DEVELOPMENT OF STREAMS AND THEIR DRAINAGE BASINS; HYDROPHYSICAL APPROACH TO QUANTITATIVE MORPHOLOGY , 1945 .

[16]  D. Knight,et al.  Wave speed–discharge relationship from cross-section survey , 2001 .

[17]  Rolland W. Carter,et al.  Accuracy of Current Meter Measurement , 1963 .

[18]  G. Seber,et al.  Nonlinear Regression: Seber/Nonlinear Regression , 2005 .

[19]  A. Petersen-Øverleir,et al.  Accounting for heteroscedasticity in rating curve estimates , 2004 .

[20]  Eugene Demidenko,et al.  Is this the least squares estimate , 2000 .

[21]  D. L. Fread,et al.  COMPUTATION OF STAGE‐DISCHARGE RELATIONSHIPS AFFECTED BY UNSTEADY FLOW , 1975 .

[22]  R. E. Faye,et al.  Channel and dynamic flow characteristics of the Chattahoochee River, Buford Dam to Georgia Highway 141 , 1980 .

[23]  F. Henderson Open channel flow , 1966 .

[24]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[25]  Y. Pawitan In all likelihood : statistical modelling and inference using likelihood , 2002 .

[26]  Edward C. Murphy Destructive floods in the United States in 1904 , 1905 .

[27]  Erich A. Zarzer Some considerations concerning the optimal calculation of stage-discharge functions , 1987, Z. Oper. Research.

[28]  C. Venetis,et al.  A NOTE ON THE ESTIMATION OF THE PARAMETERS IN LOGARITHMIC STAGE-DISCHARGE RELATIONSHIPS WITH ESTIMATES OF THEIR ERROR , 1970 .

[29]  G. Golub,et al.  Separable nonlinear least squares: the variable projection method and its applications , 2003 .

[30]  Dimitri P. Solomatine,et al.  Neural networks and M5 model trees in modelling water level-discharge relationship , 2005, Neurocomputing.

[31]  M. G. Ferrick,et al.  Modeling rapidly varied flow in tailwaters , 1984 .

[32]  V. T. Chow Open-channel hydraulics , 1959 .

[33]  Sharad K. Jain,et al.  Setting Up Stage-Discharge Relations Using ANN , 2000 .

[34]  B. Azmon Manning coefficient of roughness — a case study along Soreq stream, 1971–1981 , 1992 .

[35]  E. J. Kennedy Discharge ratings at gaging stations , 1984 .

[36]  M. Lighthill,et al.  On kinematic waves I. Flood movement in long rivers , 1955, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[37]  D. M. Corbett Stream-gaging procedure : a manual describing methods and practices of the geological survey , 1943 .

[38]  Carl de Boor,et al.  A Practical Guide to Splines , 1978, Applied Mathematical Sciences.

[39]  Michael G. Ferrick,et al.  Analysis of River Wave Types , 1985 .

[40]  W. E. Hall,et al.  A method of determining the daily discharge of rivers of variable slope , 2022 .

[42]  Cheng‐lung Chen,et al.  Unified Theory on Power Laws for Flow Resistance , 1991 .

[43]  G. Styan,et al.  On the Existence and Uniqueness of the Maximum Likelihood Estimate of a Vector-Valued Parameter in Fixed-Size Samples , 1981 .

[44]  Robert J. Keller,et al.  THE CALCULATION OF STREAMFLOW FROM MEASUREMENTS OF STAGE TECHNICAL REPORT , 2001 .

[45]  R. T. Clarke,et al.  The use of Bayesian methods for fitting rating curves, with case studies , 2005 .

[46]  Jacob Davidian,et al.  Free-surface instability correlations, and Roughness-concentration effects on flow over hydrodynamically rough surfaces , 1966 .

[47]  T. Day On the precision of salt dilution gauging , 1976 .

[48]  J. Chowdhury,et al.  Hydraulic characteristics of the Jamuna River gauging section, Bangladesh , 2003 .

[49]  Giampaolo Di Silvio Flood Wave Modification Along Prismatic Channels , 1969 .

[50]  H. Matthies,et al.  Introduction to Scientific Computing , 2006 .

[51]  S. E. Rantz,et al.  Measurement and computation of streamflow , 1982 .

[52]  J. J. Moré,et al.  Quasi-Newton Methods, Motivation and Theory , 1974 .

[53]  Muthiah Perumal,et al.  Reproduction of Hysteresis in Rating Curves , 2004 .

[54]  H. Akaike A new look at the statistical model identification , 1974 .

[55]  Flood Waves in Prismatic Channels , 1963 .

[56]  Vijay P. Singh,et al.  Kinematic wave modelling in water resources: a historical perspective , 2001 .

[57]  Olivier Pironneau,et al.  Introduction to Scientific Computing , 1998 .

[58]  A. Petersen-Øverleir,et al.  Objective segmentation in compound rating curves , 2005 .

[59]  M. Kenward,et al.  An Introduction to the Bootstrap , 2007 .

[60]  B. L. Neely,et al.  Investigation of the need for discharge adjustments for unsteady flow at selected gaging stations on streams in Tennessee , 1986 .

[61]  Emile H. L. Aarts,et al.  Simulated Annealing: Theory and Applications , 1987, Mathematics and Its Applications.