Evaluation of curve number procedures to predict runoff in GLEAMS

Proper selection of curve number values will improve the capability of the SCS-Curve Number procedure in predicting runoff. Both CREAMS and GLEAMS models use the Smith and Williams (1980) approach of converting CNII (curve number value for average antecedent moisture conditions) into CNI (curve numb...

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Bibliographic Details
Published in:Journal of the American Water Resources Association 1997-10, Vol.33 (5), p.1069-1076
Main Authors: Shirmohammadi, A, Yoon, K.S, Rawls, W.J, Smith, O.H
Format: Article
Language:English
Subjects:
AGUA DEL SUELO
COASTAL PLAINS
DEPTH
Earth sciences
Earth, ocean, space
EAU DU SOL
EQUATIONS
EROSION HYDRIQUE
EROSION POR EL AGUA
ESCORRENTIA
Exact sciences and technology
FORECASTING
Freshwater
GLEAMS
Hydrology
Hydrology. Hydrogeology
LLANURA COSTERA
LLUVIA
MARYLAND
MATEMATICAS
MATHEMATICAL MODELS
MATHEMATICS
MATHEMATIQUE
MODELE MATHEMATIQUE
MODELOS MATEMATICOS
PLAINE COTIERE
PLUIE
PROFONDEUR
PROFUNDIDAD
RAIN
RUISSELLEMENT
RUNOFF
SCS curve number method
SEASONAL VARIATION
SIMULACION
SIMULATION
SOIL WATER
TECHNIQUE DE PREVISION
TECNICAS DE PREDICCION
VARIACION ESTACIONAL
VARIATION SAISONNIERE
WATER EROSION
water quality model
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Description
Summary:Proper selection of curve number values will improve the capability of the SCS-Curve Number procedure in predicting runoff. Both CREAMS and GLEAMS models use the Smith and Williams (1980) approach of converting CNII (curve number value for average antecedent moisture conditions) into CNI (curve number value for dry antecedent moisture conditions) in calculating the soil retention parameter (S). CREAMS and GLEAMS have been found to under predict runoff because of the internal conversion of CNII to CNI. This study shows modifications of the GLEAMS model using CNII without converting it to CNI and it also shows the seasonal curve number approaches with and without converting CNII to CNI. Results indicate that using CNII without internal conversion to CNI provides better runoff and erosion predictions than the original version of GLEAMS and versions with seasonal curve numbers when tested with four years of field data in the Coastal Plain physiographic region of Maryland
ISSN:1093-474X
0043-1370
1752-1688
DOI:10.1111/j.1752-1688.1997.tb04125.x