Fuzzy Inference for Hydraulic Conductivity Estimation

James Ross, George Pinder, Metin Ozbek & James Ross
A representation of hydraulic conductivity is most vital to the accurate modeling of groundwater flow. However, in practical applications, hydraulic conductivity measurements are few, while information on soil type and grain size is relatively abundant. The relationship between hydraulic conductivity and the above soil parameters is imprecise and should be modeled as such using fuzzy logic. A fuzzy inference system is proposed whereby grain size distributions and field observations are used to estimate hydraulic conductivity...
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