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Authors: Bedri Kurtulus 1 ; Nicolas Flipo 1 ; Patrick Goblet 1 ; Guillaume Vilain 2 ; Julien Tournebize 3 and Gaëlle Tallec 3

Affiliations: 1 Mines ParisTech, UMR Sisyphe, France ; 2 Université P. et M. Curie & CNRS, UMR Sisyphe, France ; 3 Cemagref, France

ISBN: 978-989-674-014-6

ISSN: 2184-2825

Keyword(s): ANFIS, Ordinary kriging, Hydraulic head, Orgeval.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Enterprise Information Systems ; Fuzzy Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neuro-Fuzzy Systems ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: In this study, two methods are evaluated for assessing hydraulic head distribution in an aquifer unit. These methods consist in Ordinary Kriging (OK) and Adaptive Neuro Fuzzy based Inference System (ANFIS). Both methods are applied on the same case study: a part of the agricultural basin of the Orgeval located 70 km east of Paris, France. 68 samples were used to predict hydraulic head distribution on a 100 m square - grid. Cartesian coordinates of the samples were used as inputs of the ANFIS, which gives encouraging result. Both simulations have realistic pattern (R2 > 0.97) even if OK performs slightly better than ANFIS at sampling site. Simulated hydraulic head distributions present discrepancies because the two methods capture different patterns. Combined use of the two approaches allow for improving the sampling location of the observation network.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Kurtulus, B.; Flipo, N.; Goblet, P.; Vilain, G.; Tournebize, J. and Tallec, G. (2009). COMPARISON OF ANFIS AND ORDINARY KRIGING TO ASSESS HYDRAULIC HEAD DISTRIBUTION - The Orgeval Case Study.In Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009) ISBN 978-989-674-014-6, pages 371-378. DOI: 10.5220/0002319903710378

@conference{icnc09,
author={Bedri Kurtulus and Nicolas Flipo and Patrick Goblet and Guillaume Vilain and Julien Tournebize and Gaëlle Tallec},
title={COMPARISON OF ANFIS AND ORDINARY KRIGING TO ASSESS HYDRAULIC HEAD DISTRIBUTION - The Orgeval Case Study},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009)},
year={2009},
pages={371-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002319903710378},
isbn={978-989-674-014-6},
}

TY - CONF

JO - Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009)
TI - COMPARISON OF ANFIS AND ORDINARY KRIGING TO ASSESS HYDRAULIC HEAD DISTRIBUTION - The Orgeval Case Study
SN - 978-989-674-014-6
AU - Kurtulus, B.
AU - Flipo, N.
AU - Goblet, P.
AU - Vilain, G.
AU - Tournebize, J.
AU - Tallec, G.
PY - 2009
SP - 371
EP - 378
DO - 10.5220/0002319903710378

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