Comparison of CN estimation approaches

Abstract Comparison of CN estimation approaches. The Curve Number (CN) method used for estimating direct runoff depths from rainstorms (developed by NRCS in 1954) is based on a CN parameter (representing the hydrological properties of a catchment) and a λ parameter (representing the initial abstraction ratio Ia/S). In this paper, the CN parameter is determined for 10 small Slovak basins using the original SCS-CN method (CNtabulated) and empirically from rainfall-runoff events for a 13-year period using four different approaches (asymptotic fitting, arithmetic, median, and a method used by Hawkins et al. [9]) for both natural and ordered P-Q pairs (CNempirical). The CNempirical numbers were evaluated and consequently used to determine the direct runoff for both λ equal to 0.2 and 0.05. The results show differences among the selected approaches that indicate variances in the direct runoff computed. The large range of the empirical CN numbers indicates uncertainty. However, the NRCS does not define the uncertainty of the tabulated curve numbers either, and the original data is not available. As a result, this paper will highlight the uncertainty of tabulated CN numbers.

Keywords Curve Number method, Rainfall-runoff events, Asymptotic fitting.

Click here to Download Full Paper


Comparison of CN estimation approaches

AD Publications is a rapidly growing academic publisher in the fields of Engineering, Medical-Health, Environmental Science and Agriculture Research. AD Publications is a registered organization broad-based open access and publishes most exciting researches with respect to the subjects of our journals. The Journals is being indexed and abstracted by all major global current awareness and alerting services.
The organization aims at undertaking, co- coordinating and promoting research and development. It provides professional and academic guidance in the field of basic education, Higher Education as well in the Technical Education. Our Aims is to Promote and support, High Quality basic, Scientific Research and development in fields of Engineering, Medical-Health, Environmental Science and Agriculture Research and to Generate Public awareness, provide advice to scholar’s researchers and communicate research outcomes.

Some Important Links About Research Journal
International Journal
Agriculture Journal
Medical Journal
Environmental Journal
Engineering Journal

Translate »