Romulus Dumitru COSTACHE


The estimation of the average monthly runoff depth was performed due to SCS-CN method adjusted with slope. This method is focused on the estimation of the runoff depth caused by precipitation, depending on the retention caused by various land use types and hydrological soil groups. In the present study, the SCS-CN method adjustment was possible due to the following formula: CN = , proposed by Huang et al. (2006). The precipitation values contained in the SCS-CN formula, in order to estimate the average runoff depth, were spatially modelled by correlating the precipitation values from 11 meteorological stations with the stations' altitude. The spatially modelled values were integrated the formula for SCS-CN method adjusted with the slope value and, finally, the surface runoff depth was spatially modelled within Sărățel river basin. The highest values of the parameter are about 92 mm, in June, when precipitation records its highest values. The analysis of the runoff coefficient values demonstrates that surface runoff depth grows simultaneously with the precipitation values.



Sărățel river basin, Curve Number, slope, land use, hydrological soil group

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ISSN: 1223-5334; eISSN: 2284-6379. Published in Romania




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