Moslem Heydari; Seyed Javad Sadatinejad; Afshin Honarbakhsh
Volume 11, Issue 4 , January 2014
Abstract
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 ...
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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.
Afshin Honarbakhsh; Seyed Javad Sadatinejad; Moslem Heydari; Mohamadreza Mozdianfard
Volume 9, Issue 1 , October 2011
Abstract
Lag time is a parameter that appears often in theoretical and conceptual models associated with river basin. The river basin lag time is an important factor in linear modeling of river basin response. Generally, all hydrologic analyses require at least one of the time parameters of river basin and, in ...
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Lag time is a parameter that appears often in theoretical and conceptual models associated with river basin. The river basin lag time is an important factor in linear modeling of river basin response. Generally, all hydrologic analyses require at least one of the time parameters of river basin and, in the majority of cases, time of concentration or lag time are used. In this research, storm data from 6 stations in the North Karoon river basin (in Iran) were analyzed. From this analysis, 23 events were selected. Then, in one experimental sub-basin located in this river basin, the lag time was calculated using field method. In this method, performed in the Darehbeed-Samsami study area, lag time was computed from a hydrograph generated by discharge measurement of a triangular scaled spillway. After that, 23 events were divided into two groups, including, one for a newly developed empirical model (70 percent) and another for validation of this model (30 percent). The results obtained from this research based on coefficient of determination (R2), root mean square error (RMSE) and relative error (%RE) statistical measures showed that the agreement between the computed(from new empirical model) and measured data is good.
