Estimating the Parameters of the Curve Number Model: Fid-Bau Portal

Fachinformationsdienst BAUdigital

Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik

Estimating the Parameters of the Curve Number Model

Chin, David A.

A methodology is presented for combining the conventional Natural Resources Conservation Service (NRCS) 24-h rainfall distributions with Horton and Green–Ampt infiltration processes to estimate the curve number (CN) and initial abstraction ( $I_{a}$ ) parameters of the NRCS curve number model. It is shown that the rainfall distribution, rainfall depth, and infiltration characteristics all affect CN and $I_{a}$ , and the influence of these factors on CN and $I_{a}$ under selected conditions are quantified. The results presented in this paper are particularly applicable to cases in which the dominant abstraction mechanism is infiltration.

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Estimating the Parameters of the Curve Number Model

Chin, David A.

A methodology is presented for combining the conventional Natural Resources Conservation Service (NRCS) 24-h rainfall distributions with Horton and Green–Ampt infiltration processes to estimate the curve number (CN) and initial abstraction ( $I_{a}$ ) parameters of the NRCS curve number model. It is shown that the rainfall distribution, rainfall depth, and infiltration characteristics all affect CN and $I_{a}$ , and the influence of these factors on CN and $I_{a}$ under selected conditions are quantified. The results presented in this paper are particularly applicable to cases in which the dominant abstraction mechanism is infiltration.

Estimating the Parameters of the Curve Number Model

Chin, David A.

A methodology is presented for combining the conventional Natural Resources Conservation Service (NRCS) 24-h rainfall distributions with Horton and Green–Ampt infiltration processes to estimate the curve number (CN) and initial abstraction ( $I_{a}$ ) parameters of the NRCS curve number model. It is shown that the rainfall distribution, rainfall depth, and infiltration characteristics all affect CN and $I_{a}$ , and the influence of these factors on CN and $I_{a}$ under selected conditions are quantified. The results presented in this paper are particularly applicable to cases in which the dominant abstraction mechanism is infiltration.

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Dokumentinformationen

Titel:

Estimating the Parameters of the Curve Number Model

Beteiligte:

Chin, David A. (Autor:in)

Erschienen in:

Journal of Hydrologic Engineering ; 22

Erscheinungsdatum:

07.02.2017

ISSN:

1084-0699 , 1943-5584

DOI:

https://doi.org/10.1061/(ASCE)HE.1943-5584.0001495

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Unbekannt

Ähnliche Titel

Estimating the Parameters of the Curve Number Model

Chin, David A | Online Contents | 2017

Estimating the Parameters of the Curve Number Model

Chin, David A | Online Contents | 2017

NRCS Curve Number Method: Comparison of Methods for Estimating the Curve Number from Rainfall-Runoff Data

Moglen, G. E. / Sadeq, H. / Hughes, L. H. et al. | ASCE | 2022

Freier Zugriff

SARA - An enhanced curve number-based tool for estimating direct runoff

Hernandez-Guzman, R. / Ruiz-Luna, A. | British Library Online Contents | 2013

Estimating the parameters of fatigue curve of a composite material

Paramonov, Y. M. / Kleinhof, M. A. / Paramonova, A. Y. | British Library Online Contents | 2005