The evolution of equations from hydraulic data .1. Theory

被引:30
作者
Babovic, V
Abbott, MB
机构
[1] INT COMPUTAT HYDRODYNAM,DK-2970 HORSHOLM,DENMARK
[2] INT INST INFRASTRUCT HYDRAUL & ENVIRONM ENGN,NL-2601 DA DELFT,NETHERLANDS
关键词
D O I
10.1080/00221689709498420
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Even as hydroinformatics continues to elaborate more advanced operational tools, languages and environments for engineering and management practice, it necessarily also promotes a number of concepts and methodologies that are eminently applicable within the more traditional areas of hydraulic research. Among the many new possibilities thereby introduced, that of evolving equations from hydraulic data using evolutionary algorithms has a particularly wide range of applications. The present paper is in two parts, the first of which introduces the subject and outlines its theory, while the second is given over to four representative applications and to some of the most immediate lessons that may be drawn from these. The first of the applications is derived from a hydrologic model but provides equations with purely hydraulic interpretations. The second, taken from sediment transport studies, raises the question of ambiguity in the identification of ''thresholds'' in physical processes. It also provides a means for analyzing the significance of variables and indicates the need, or otherwise, for introducing further variables. A third example, based upon physical observations of salt water intrusion in estuaries, introduces the application of the present methods to accelerating prediction processes, while the fourth example extends this kind of application to cover numerically generated data, in this case appertaining to the case of flow resistance in the presence of vegetation.
引用
收藏
页码:397 / 410
页数:14
相关论文
共 85 条
[1]  
Abbott M.B., Hydroinformatics: Information Technology and the Aquatic Environment, (1991)
[2]  
Abbott M.B., The theory of the hydrologic model, or: The struggle for the soul of hydrology, Advances in Theoretical Hydrology, a Tribute to James Dooge, pp. 237-254, (1992)
[3]  
Abbott M.B., The electronic encapsulation of knowledge in hydraulics, hydrology and water resources, Advances in Water Resources, 16, pp. 21-39, (1993)
[4]  
Abbott M.B., The problem concerning ethics, or: The metamorphosis of the object, Proceedings Ist International Conference on Hydroinformatics, 1, (1994)
[5]  
Abbott M.B., De Nordwall J., Swets B., Application of artificial intelligence to control and safety problems of nuclear power plants, Civ Eng. Sys., 1, pp. 69-82, (1983)
[6]  
Abbott M.B., Basco D.R., Computational Fluid Dynamics: An Introduction for Engineers, (1989)
[7]  
Abbott M.B., Abbott M.B., Minns A., Computational Hydraulics, 1st/2nd Edition, (1979)
[8]  
Amdisen L.K., A Diagnostic Framework for Hydrodynamic Networks, (1991)
[9]  
Amdisen L.K., An architecture for hydroinformatic systems based on rational reasoning, J. Hyd. Res, 32, Extra Issue
[10]  
Hydroinformatics, pp. 183-194, (1994)