摘要：The paper presents the analysis of 6 consecutive high flows using data from stream hydrographs of Ialomita River recorded at Targoviste gauge station between 2007 and 2009. The main purpose of hydrographs separation and trend analysis was to extract informative coefficients, to support the calibration and sensitivity analysis of simulation routines performed with SWAT model. Each episode had two time series i.e., H (cm) and Q (m 3 s -1 ), which were statistically analyzed for central tendency, dispersion, and distribution. The baseflow was separated using data processing and filtering procedures. The recession constants (k) were derived from the slope of the recession curves and the lag time interval t. Another digital filter, based on frequency analysis, was applied to smooth hydrographic data. There were differences between spring and autumn high flows' episodes concerning the corresponding rainfall quantities and duration. Spring high flows had longer durations and the associated rainfall quantities were lower than autumn ones. The analyzed time series had a duration that ranged from 96 to 264 hours with a mean between 23.8 and 88.5 m 3 s -1 . The maximum values varied from 84 to 274 m 3 s -1 , while the minimum value ranged from 4.5 to 9.1 m 3 s -1 . The non-parametric trend estimator was applied for each time series and the results were integrated into a single flow-probability curve, which was fitted by a log-normal function (p<0.05).
