Estimation of optimal parameters for a surface hydrology model

被引:20
作者
White, LW [1 ]
Vieux, B
Armand, D
LeDimet, FX
机构
[1] Univ Oklahoma, Dept Math, Norman, OK 73019 USA
[2] Univ Oklahoma, Sch Civil & Environm Engn, Norman, OK 73019 USA
[3] Univ Grenoble 1, Lab Modelisat & Calcul, Grenoble, France
关键词
D O I
10.1016/S0309-1708(02)00189-6
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The estimation of infiltration, roughness, and rainfall intensity parameters in a surface flow model is studied. The problem is formulated as an optimal control problem in which the parameters to be estimated are viewed as controls in the surface flow model and a fit-to-data functional is viewed as a control functional. The control system is obtained as the approximation of the distributed model by means of finite elements in the spatial domain and finite differences in the time domain. The leap-frog and implicit differences are used for the time differencing approximations. The resulting minimization problem is solved by a descent method, The adjoint equations are introduced in the context of a general method to calculate efficiently the derivatives of the functional. The adjoint equations are developed for the continuous as well as the finite difference equations. A numerical example is presented. This example illustrates the effect of the accuracy of prior rainfall intensity information on the estimates of roughness and infiltration parameters. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:337 / 348
页数:12
相关论文
共 19 条
[1]   PROPHECY, REALITY AND UNCERTAINTY IN DISTRIBUTED HYDROLOGICAL MODELING [J].
BEVEN, K .
ADVANCES IN WATER RESOURCES, 1993, 16 (01) :41-51
[2]  
Dieudonne J., 1960, FDN MODERN ANAL
[3]   OPTIMAL USE OF THE SCE-UA GLOBAL OPTIMIZATION METHOD FOR CALIBRATING WATERSHED MODELS [J].
DUAN, QY ;
SOROOSHIAN, S ;
GUPTA, VK .
JOURNAL OF HYDROLOGY, 1994, 158 (3-4) :265-284
[4]   EFFECTIVE AND EFFICIENT GLOBAL OPTIMIZATION FOR CONCEPTUAL RAINFALL-RUNOFF MODELS [J].
DUAN, QY ;
SOROOSHIAN, S ;
GUPTA, V .
WATER RESOURCES RESEARCH, 1992, 28 (04) :1015-1031
[5]   Bayesian estimation of uncertainty in runoff prediction and the value of data: An application of the GLUE approach [J].
Freer, J ;
Beven, K ;
Ambroise, B .
WATER RESOURCES RESEARCH, 1996, 32 (07) :2161-2173
[6]  
GUPTA HV, 1998, WATER RESOUR RES, V28, P1015
[7]   MEMBERSHIP-SET ESTIMATION USING RANDOM SCANNING AND PRINCIPAL COMPONENT ANALYSIS [J].
KEESMAN, K .
MATHEMATICS AND COMPUTERS IN SIMULATION, 1990, 32 (5-6) :535-543
[8]  
LeDimet FX, 1997, J METEOROL SOC JPN, V75, P245
[9]  
LEDIMET FX, 1996, SIAM M AUT DIFF SANT
[10]   EUTROPHICATION IN PEEL INLET .2. IDENTIFICATION OF CRITICAL UNCERTAINTIES VIA GENERALIZED SENSITIVITY ANALYSIS [J].
SPEAR, RC ;
HORNBERGER, GM .
WATER RESEARCH, 1980, 14 (01) :43-49