NDLI: Application of the ace algorithm on hydrogeological monitoring data from the Bükk Mountains

Content Provider	Springer Nature Link
Author	Szucs, P. Darabos, E. Németh, Á.
Copyright Year	2012
Abstract	This paper introduces the alternating conditional expectation (ACE) algorithm of Breiman and Friedman (1985) in multiple regression problems in groundwater monitoring data analysis. This special inverse nonparametric approach can be applied easily for estimating the optimal transformations of different groundwater monitoring data from the Bükk Mountains to obtain maximum correlation between observed aquifer variables. The approach does not require a priori assumptions of a mathematical form, and the optimal transformations are derived solely based on the groundwater data set. The advantages and applicability of the proposed approach to solve different multiple regression problems in hydrogeology or in groundwater management are illustrated by means of case studies from a Hungarian karst aquifer. It is demonstrated that the ACE method has certain advantages in some fitting problems of groundwater science over the traditional multiple regression.In the past, different groundwater monitoring data (like groundwater level, ground-water temperature and conductance, etc.) had been used for groundwater management purposes in the Bükk Mountains. One of the difficulties in earlier approaches has been the need to make some kind of assumption of the expected mathematical forms among the investigated reservoir and petrophysical variables. By using non-parametric regression, the need to assume a specific form of model is avoided, and a clearer vision of the relationships between aquifer parameters can be revealed in the Bükk Mountains, where karst water is the main source of potable water supply. Complex monitoring data from the Bükk Mountains were analyzed using the ACE inverse method, and results were verified successfully against quantitative and qualitative field observations.
Starting Page	256
Ending Page	270
Page Count	15
File Format	PDF
ISSN	12178977
Journal	Acta Geodaetica et Geophysica Hungarica
Volume Number	47
Issue Number	2
e-ISSN	15871037
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-02-27
Publisher Institution	Quarterly of the Hungarian Academy of Sciences
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	ACE algorithm nonparametric inverse regression Geophysics/Geodesy monitoring karst hydrogeology
Content Type	Text
Resource Type	Article
Subject	Building and Construction Geology Geophysics

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