Deriving an emulation model of a rectangular-basin two-layer numerical model

作者: F. Pianosi , S. Galelli , T. Shintani , Jorg Imberger

DOI:

关键词:

摘要: In the last decades, rapid improvement in processor speed has encouraged development of large, distributed, process-based models, which are implemented more and complex computer codes. However, despite increased computing power, use such models is far from being inexpensive: obtaining output trajectories over a time horizon few years can require many days simulation. As consequence, application for planning management purposes still very limited. What-if analysis, example, i.e. evaluation behavior system against set possible scenarios, be applied to only when number scenarios small, as each model simulation prohibitively consuming. Furthermore, integration into an optimization scheme is, at state art, essentially impracticable. recent years, emulation modeling emerged promising technique overcome these limitations. An simple, usually lumped model, identified synthetic data generated via computationally inefficient that used its place run fast simulations optimization. Emulation largely employed aerospace mechanical engineering emerging issue environmental modeling, especially field air quality. Applications water systems mainly concern control diffuse pollution groundwater soils. this paper, techniques extended hydrodynamics, namely stratified lakes. The ultimate scope allow indirect hydrodynamic purposes, closing gap between scientific-oriented research decision-making practice. applicability approach tested simplified but rather realistic case study: one-dimensional, nonlinear, two-layer rectangular basin. simulated generate series thermocline displacement equilibrium position, function wind action, different conditions stratification (i.e. layers density). These develop simple model. Precisely, AutoRegressive-eXogenous (ARX) identified, with parameter settings estimated condition. Although provides accurate estimate selected variable. Moreover, parameters provided physically meaningful interpretation. results motivate further extend sophisticated hydrodynamics resources.

参考文章(11)
W. D. Ray, Peter Young, Recursive Estimation and Time Series Analysis Journal of the Royal Statistical Society: Series A (General). ,vol. 149, pp. 280- 280 ,(1984) , 10.2307/2981573
J.P.C. Kleijnen, T.W. Lucas, T.M. Cioppa, S.M. Sanchez, A User's Guide to the Brave New World of Designing Simulation Experiments Social Science Research Network. ,(2003)
Jack P.C. Kleijnen, Robert G. Sargent, A Methodology for Fitting and Validating Metamodels in Simulation European Journal of Operational Research. ,vol. 120, pp. 14- 29 ,(2000) , 10.1016/S0377-2217(98)00392-0
Ben R. Hodges, Jörg Imberger, Angelo Saggio, K. B. Winters, Modeling basin-scale internal waves in a stratified lake Limnology and Oceanography. ,vol. 45, pp. 1603- 1620 ,(2000) , 10.4319/LO.2000.45.7.1603
T.W. Simpson, J.D. Poplinski, P. N. Koch, J.K. Allen, Metamodels for Computer-based Engineering Design: Survey and recommendations Engineering With Computers. ,vol. 17, pp. 129- 150 ,(2001) , 10.1007/PL00007198
Temel Oguz, Emin Özsoy, Mohammed A. Latif, Halil I. Sur, Ümit Ünlüata, Modeling of Hydraulically Controlled Exchange Flow in the Bosphorus Strait Journal of Physical Oceanography. ,vol. 20, pp. 945- 965 ,(1990) , 10.1175/1520-0485(1990)020<0945:MOHCEF>2.0.CO;2
Vincenzo Casulli, Ralph T. Cheng, SEMI-IMPLICIT FINITE DIFFERENCE METHODS FOR THREE-DIMENSIONAL SHALLOW WATER FLOW International Journal for Numerical Methods in Fluids. ,vol. 15, pp. 629- 648 ,(1992) , 10.1002/FLD.1650150602
D. R. Broad, G. C. Dandy, H. R. Maier, Water Distribution System Optimization Using Metamodels Journal of Water Resources Planning and Management. ,vol. 131, pp. 172- 180 ,(2005) , 10.1061/(ASCE)0733-9496(2005)131:3(172)
Alaa H. Aly, Richard C. Peralta, Optimal design of aquifer cleanup systems under uncertainty using a neural network and a genetic algorithm Water Resources Research. ,vol. 35, pp. 2523- 2532 ,(1999) , 10.1029/98WR02368