automated methods for estimating baseflow from streamflow records in a semi arid watershed
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abstract
understanding of the runoff generation processes is important in understanding the magnitude and dynamics ofgroundwater discharge. however, these processes continue to be difficult to quantify and conceptualize. in this study,two digital filter based separation modules, the recursive filtering method (rdf) and a generalization of therecursive digital filter (grdf) were1991–2002 in the hableh roud river at the stream gauge of bonkuh, semnanprovince. a technique for assessing the recession constants of the sub flows based on calibration the average value ofthe inverse of the value of the inverse of the slope of the linear path in the recession periods of an ln (q)-time graphis presented. the result show that, the grdf method gave higher (baseflow index) bfi values than the rdf methodwith less variability and the mean baseflow calculated on an annual basis, ranged from 3.27 m3/s to 4.04 m3/s overperiod of study by rdf and grdf, respectively. since the true values of the baseflow index are unknown, it cannotbe said, which one of the methods gives the best estimates.
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Journal title:
desertجلد ۱۷، شماره ۲، صفحات ۲۰۳-۲۰۹
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