GEOSTATISTICAL IMPROVEMNET OF IMPERFECT MODELING FOR GROUNDWATER FLOW AND SELECTION METHOD OF BEST MODELING

Autor:	Toshio Hamaguchi
Rok vydání:	2003
Předmět:	Mathematical optimization geography geography.geographical_feature_category Groundwater flow Computer science Hydraulics Model selection Organic Chemistry Aquifer Residual Biochemistry Physics::Geophysics law.invention law Statistics Groundwater model Groundwater Complement (set theory)
Zdroj:	PROCEEDINGS OF HYDRAULIC ENGINEERING. 47:295-300
ISSN:	1884-9172 0916-7374
Popis:	The purpose of the present paper is to propose a new approach to the problem of identifying a model structure of groundwater flow with modeling errors to be complemented on the basis of groundwater hydraulics and geostatistical theory. The optimal parameters are identified to be in best agreement between the calculated and observed hydraulic heads. The head residual by all means causes an modeling error in computed parameters because the conventional groundwater model in use is of the physically based, deterministic type. An universal and new strategy to complement all errors at the observed points is now needed. The strategy also should take the spatio-temporal estimates of the errors at the rest of the given points. This paper theoretically describes a new approach and demonstrates its effectiveness in dealing with numerical studies in a hypothetical aquifer. Finally, a mathematical procedure to select the best model subsequent to improvement of fitting imperfection is used, and its validation is then discussed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::27b35b98175e0bdebfe900287defbf8c https://doi.org/10.2208/prohe.47.295 Zobrazit plný text záznamu