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SCS-CN parameter determination using rainfall-runoff data in heterogeneous watersheds-the two-CN system approach

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dc.contributor.author Soulis, KX en
dc.contributor.author Valiantzas, JD en
dc.date.accessioned 2014-06-06T06:52:04Z
dc.date.available 2014-06-06T06:52:04Z
dc.date.issued 2012 en
dc.identifier.issn 10275606 en
dc.identifier.uri http://dx.doi.org/10.5194/hess-16-1001-2012 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/5829
dc.subject.other Experimental watersheds en
dc.subject.other Heterogeneous systems en
dc.subject.other Hydrologic response en
dc.subject.other Land cover en
dc.subject.other Land managements en
dc.subject.other Parameter determination en
dc.subject.other Parameter values en
dc.subject.other Rainfall depths en
dc.subject.other Rainfall event en
dc.subject.other Rainfall runoff en
dc.subject.other Reasonable accuracy en
dc.subject.other Runoff response en
dc.subject.other Runoff volumes en
dc.subject.other SIMPLE method en
dc.subject.other Soil conservation service curve numbers en
dc.subject.other Spatial heterogeneity en
dc.subject.other Spatial variability en
dc.subject.other Synthetic data en
dc.subject.other System approach en
dc.subject.other Unknown parameters en
dc.subject.other Infiltration en
dc.subject.other Rain en
dc.subject.other Runoff en
dc.subject.other Watersheds en
dc.subject.other Landforms en
dc.subject.other accuracy assessment en
dc.subject.other data set en
dc.subject.other heterogeneity en
dc.subject.other hydrological response en
dc.subject.other rainfall-runoff modeling en
dc.subject.other soil conservation en
dc.subject.other spatial variation en
dc.subject.other watershed en
dc.title SCS-CN parameter determination using rainfall-runoff data in heterogeneous watersheds-the two-CN system approach en
heal.type journalArticle en
heal.identifier.primary 10.5194/hess-16-1001-2012 en
heal.publicationDate 2012 en
heal.abstract The Soil Conservation Service Curve Number (SCS-CN) approach is widely used as a simple method for predicting direct runoff volume for a given rainfall event. The CN parameter values corresponding to various soil, land cover, and land management conditions can be selected from tables, but it is preferable to estimate the CN value from measured rainfall-runoff data if available. However, previous researchers indicated that the CN values calculated from measured rainfall-runoff data vary systematically with the rainfall depth. Hence, they suggested the determination of a single asymptotic CN value observed for very high rainfall depths to characterize the watersheds' runoff response. In this paper, the hypothesis that the observed correlation between the calculated CN value and the rainfall depth in a watershed reflects the effect of soils and land cover spatial variability on its hydrologic response is being tested. Based on this hypothesis, the simplified concept of a two-CN heterogeneous system is introduced to model the observed CN-rainfall variation by reducing the CN spatial variability into two classes. The behaviour of the CN-rainfall function produced by the simplified two-CN system is approached theoretically, it is analysed systematically, and it is found to be similar to the variation observed in natural watersheds. Synthetic data tests, natural watersheds examples, and detailed study of two natural experimental watersheds with known spatial heterogeneity characteristics were used to evaluate the method. The results indicate that the determination of CN values from rainfall runoff data using the proposed two-CN system approach provides reasonable accuracy and it over performs the previous methods based on the determination of a single asymptotic CN value. Although the suggested method increases the number of unknown parameters to three (instead of one), a clear physical reasoning for them is presented. © 2012 Author(s). en
heal.journalName Hydrology and Earth System Sciences en
dc.identifier.issue 3 en
dc.identifier.volume 16 en
dc.identifier.doi 10.5194/hess-16-1001-2012 en
dc.identifier.spage 1001 en
dc.identifier.epage 1015 en


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