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Enhancing direct runoff estimates through modification of NRCS-CN method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020711%3A_____%2F23%3A10154941" target="_blank" >RIV/00020711:_____/23:10154941 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Enhancing direct runoff estimates through modification of NRCS-CN method

  • Original language description

    The Natural Resources Conservation Service Curve Number (NRCS-CN) method, formerly known as Soil Conservation Service Curve Number (SCS-CN), was developed in the USA for estimating direct runoff in small agricultural watersheds. Given its relative simplicity and feasibility, the method became globally known and has been commonly used in hydrological modelling and other environmental applications. Over the decades of its existence, the NRCS-CN method has undergone a number of different modifications with the aim of improving the accuracy of the results in diverse geographical conditions. In Czechia the NRCS-CN method is usually employed in the unchanged form, i.e. through tabulated CN values characterizing the hydrological properties of soils, land cover and antecedent moisture conditions classes. However, previous experience shows that using the method in its original setting is problematic. This contribution therefore presents an overview of some modifications of the NRCS-CN method, which aimed to enhance the direct runoff estimates in predominantly agricultural experimental catchments in Czechia: (1) Modification of initial abstraction coefficient λ using the tabulated CN values; (2) event analysis based on empirical parameters of rainfall-runoff events; (3) derivation of direct runoff from rainfall and catchments&apos; physiographic characteristics through stepwise and least trimmed square regressions.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů