Fuzzy logic modeling for groundwater level forecasting of west coast region in India

dc.contributor.authorSreenivasulu, D.
dc.contributor.authorDeka, P.C.
dc.date.accessioned2020-03-31T08:31:15Z
dc.date.available2020-03-31T08:31:15Z
dc.date.issued2011
dc.description.abstractForecasting 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.en_US
dc.identifier.citationInternational Journal of Earth Sciences and Engineering, 2011, Vol.4, 3, pp.488-497en_US
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/11381
dc.titleFuzzy logic modeling for groundwater level forecasting of west coast region in Indiaen_US
dc.typeArticleen_US

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