Background: Magnitude, rate and frequency of the stochastic and unexpected events are of great significance and importance in hydrology. Nowadays, for economic planning of the projects, the use of analytical methods of unexpected events in hydrology is unavoidable. The aim of this study was to compare hybrid regression and multivariate regression to estimate flood peak discharge in the province of Khorasan Razavi and in the selected water measured stations. Methods: For this purpose, 19 hydrometric stations were selected and analyzed. In the first step, the rate of peak discharge was estimated with different return periods and by selecting the best regional distribution (lognormal distribution type ΠΙ). In the next step, independent and important variables including area, mean annual rainfall, the average height of the watershed and its slope were determined using functional analysis and using SPSS software version 22. Then, two hydrologically homogeneous regions were determined by homogeneity test using cluster analysis, and accordingly, two models were presented for the whole area and also for homogeneous areas. To compare and evaluate the accuracy and efficiency of the estimated models, the rates of discharges were estimated and compared with observational rates using three control watersheds. To compare models, it was used from the average absolute values of the relative error index. Results: It was revealed that the hybrid method was more accurate than the multivariate regression method in the return period of 50 years and provides better results of flood discharges for the area. Homogenous areas had a higher coefficient of determination (R 2) and lower relative standard error (RSE) compared to the whole area. It was also revealed that with increase of return period, the rates of R 2 decreased but the rates of relative standard error increased. Conclusion: The accuracy of multivariate regression and hybrid methods was the same in the 25-year return period. In the present study, the importance and necessity of homogenous areas compared with the model of the whole area are completely evident.
The objective of this study is to assess the effect of physical and chemical properties of Marl's formations on sediment and runoff rates at different rainfall intensities, based on using field rainfall simulator. For this purpose, first Marl's formations (Neocene's units) were separated to five units including Halite siltstone(NgSiH), Siltstone (NgSi), Mudstone (gy1C), Gypsum mudstone (gy1CG) and Halite clay stone (gy2CH), based on physical and chemical properties. Then runoff and sediment rates were determined in each unit at two intensities (30 and 60 mm/h) using rainfall simulator. Analysis of variance and Duncan's tests showed that Halite siltstone unit has produced the highest amount of runoff and sediment rates and then the runoff and sediment rates of other subunits in decreasing order are as follows: Siltstone, gy2CH, gylCG and gy1C are 5% significant level. The trend of induced runoff and sediment rates at different times showed that in Halite siltstone and Siltstone units the runoff amounts were fixed rapidly at 2nd ten minutes. And, on the other units, the runoff amounts were fixed at 3rd ten minutes and sediment yield was increased rapidly at 3rd ten minutes
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