Author(s): Christopher Papadopoulos; Mike Spiliotis; Panagiotis Angelidis; Basil Papadopoulos
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Keywords: No Keywords
Abstract: A hybrid fuzzy frequency factor-based methodology is used in order to improve the coupling between the observed and theoretical probabilities in meteorological and hydrological drought analysis. Thus, the frequency factor KT is related to the historical samples of rainfall and streamflow, correspondingly, through fuzzy linear regression based on Tanaka’s model and a modified fuzzy linear regression model. Simultaneously, a fuzzy estimation of the mean value and the standard deviation is achieved. Hence, the crisp thresholds of the pre-defined drought categories are fuzzified based on the produced fuzzy linear relations. The classification of meteorological and hydrological drought is achieved by comparing the crisp data with the fuzzified drought thresholds using a fuzzy measure. The proposed methodology has been applied in the cases of southern Crete, Greece, and the transboundary Evros (Meric or Maritsa) River by covering the case of meteorological and hydrological drought, respectively.
Year: 2022