Fuzzy logic modeling for groundwater level forecasting of west coast region in India
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2011
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Abstract
Forecasting the groundwater table in unconfined aquifer is essential for efficient planning of conjunctive use in a basin. In this study, fuzzy logic (FL) models have been developed for groundwater level forecasting in west coast humid region of Karnataka state, India. The FL modeling was carried out to forecast the groundwater table by one week lead time at three different sites over the study area. Mamdani fuzzy inference system was adopted in the present study and finally centroid of area defuzzification method has been applied to obtain crisp output. The results concluded that the FL model performed quite satisfactorily as assessed by various performance indices such as Root mean square error, Coefficient of correlation, and Mean absolute error. © 2011 CAFET-INNOVA TECHNICAL SOCIETY. All rights reserved.
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Keywords
Coefficient of correlation, Conjunctive use, Crisp output, Defuzzification method, Efficient planning, Fuzzy inference systems, Fuzzy logic model, Fuzzy logic modeling, Groundwater level forecasting, Groundwater table, Humid regions, Impreciseness, Karnataka, Leadtime, Mamdani, Mean absolute error, Performance indices, Root mean square errors, Study areas, Uncertainty, Unconfined aquifers, West coast, Aquifers, Forecasting, Fuzzy inference, Fuzzy systems, Groundwater resources, Membership functions, Uncertainty analysis, Fuzzy logic, forecasting method, fuzzy mathematics, groundwater, performance assessment, precision, unconfined aquifer, water level, water table, India
Citation
International Journal of Earth Sciences and Engineering, 2011, 4, 3, pp. 488-497