Hydraulic head and groundwater 111Cd content interpolations using empirical Bayesian kriging (EBK) and geo-adaptive neuro-fuzzy inference system (geo-ANFIS)

In this study, hydraulic head and 111Cd interpolations based on the geo-adaptive neuro-fuzzy inference system (Geo-ANFIS) and empirical Bayesian kriging (EBK) were performed for the alluvium unit of Karabağlar Polje in Muğla, Turkey. Hydraulic head measurements and 111Cd analyses were done for 42 wa...

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Bibliographic Details
Published in:Water S. A. 2017-07, Vol.43 (3), p.509-519
Main Authors: Kurtuluş, Bedri, Sağir, Çağdaş
Format: Article
Language:English
Subjects:
111Cd
Adaptive systems
Alluvial deposits
Alluvium
ANFIS
Aquifers
Artificial neural networks
Bayesian analysis
Cartesian coordinates
Case studies
Computer simulation
Coordinate systems
Data
EBK
Empirical analysis
Fuzzy logic
Fuzzy sets
Fuzzy systems
Groundwater
Groundwater flow
Heavy metals
Hydraulic head
Hydraulics
Inference
Interpolation
Kriging interpolation
Mathematical models
Metal
Metals
Muğla
Piezometric head
Pollutants
Probability theory
Statistical methods
Water wells
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Summary:In this study, hydraulic head and 111Cd interpolations based on the geo-adaptive neuro-fuzzy inference system (Geo-ANFIS) and empirical Bayesian kriging (EBK) were performed for the alluvium unit of Karabağlar Polje in Muğla, Turkey. Hydraulic head measurements and 111Cd analyses were done for 42 water wells during a snapshot campaign in April 2013. The main objective of this study was to compare Geo-ANFIS and EBK to interpolate hydraulic head and 111Cd content of groundwater. Both models were applied on the same case study: alluvium of Karabağlar Polje, which covers an area of 25 km2 in Muğla basin, in the southwest of Turkey. The ANFIS method (called ANFISXY) uses two reduced centred pre-processed inputs, which are cartesian coordinates (XY). Geo-ANFIS is tested on a 100-random-data subset of 8 data among 42, with the remaining data used to train and validate the models. ANFISXY and EBK were then used to interpolate hydraulic head and heavy metal distribution, on a 50 m2 grid covering the study area for ANFISXY, while a 100 m2 grid was used for EBK. Both EBK- and ANFISXY-simulated hydraulic head and 111Cd distributions exhibit realistic patterns, with RMSE < 9 m and RMSE < 8 μg/L, respectively. In conclusion, EBK can be considered as a better interpolation method than ANFISXY for both parameters.
ISSN:0378-4738
0378-4738
DOI:10.4314/wsa.v43i3.16