Lag Time Forecasting Using Fuzzy Regression Based Formulae

Document Type : Original Articles


1 PHD. Student of watershed management, Faculty of Natural Resources and Earth Sciences, University of Shahrekord

2 Associate Professor, Department of, Faculty of New Sciences and Technologies, University of Tehran

3 Associate Professor, Department of watershed management, Faculty of Natural Resources and Earth Sciences, University of Shahrekord


River basin lag time is an important factor in the linear modelling of river basin response. In this study, the modelling of lag time using fuzzy regression is applied. For this purpose, the data for rainfall-runoff events of Khanmirza basin (nine events) were collected and analysed. Following on, events were divided into two groups: one for formulas based on fuzzy regression and another for the validation of these formulas. The results obtained from this study, based on RE and RMSE statistical measures, showed that the efficiency of newly developed formulas based on fuzzy regression methods is higher than for other formulas used for the calculation of time of concentration.


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