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A Modified SCS-CN Method: Characterization and Testing
Water Resources Management, 2003The Soil Conservation Service Curve Number (SCS-CN) method (SCS,1956) is modified by accounting for the static portion ofinfiltration and the antecedent moisture. A volumetric analysisshows that the ratio of the potential maximum retention (S) tothe precipitation amount versus the runoff factor relation isequivalent to the average suction pressure ...
S. K. Mishra +3 more
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Analytical Derivation of the SCS-CN Method
2003Since the inception of the SCS-CN method, the issues such as the rational derivation of the method (equation (2.5)), the rationale of initial abstraction, the analytics of the S-CN mapping relation (equation (2.7)), and the CN-AMC relations have been of major concern.
Surendra Kumar Mishra, Vijay P. Singh
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Comparison of SCS-CN determination methodologies in a heterogeneous catchment
Journal of Mountain Science, 2015The aim of this study was to assess the runoff amount from a catchment characterized by diverse land uses by using the Soil Conservation Service Curve Number (SCS-CN) method based on Curve Number (CN) defined for dominant homogeneous elementary sub-regions.
Andrzej Wałęga +3 more
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Theory-Based SCS-CN Method and Its Applications
Journal of Hydrologic Engineering, 2010This study, by incorporating the Philip infiltration solution, constructs from a theoretical perspective an alternative model to replace the Soil Conservation Service curve-number (SCS-CN) method and provides an in-depth analysis of its variants in order to understand their limitations and accuracy.
W. H. Chung, I. T. Wang, R. Y. Wang
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Modifications to SCS-CN Method for Long-Term Hydrologic Simulation
Journal of Irrigation and Drainage Engineering, 2007The original soil conservation service curve number (SCS-CN) technique is primarily used to transform daily rainfall into surface runoff by assuming the proportionality between retention and surface runoff based on a parameter referred to as curve number (CN).
GEETHA, K +4 more
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Evaluation of the SCS-CN-Based Model Incorporating Antecedent Moisture
Water Resources Management, 2004Using a large set of rainfall-runoff data from 234 small to large watersheds from USA, this paper evaluates the modified version of the [Mishra, S. K. and Singh, V. P., 2002a, ‘SCS-CN-based hydrologic simulation package’, in V. P. Singh and D. K. Frevert (eds), Mathematical Models in Small Watershed Hydrology, Water Resources Publications, Chap. 13, pp.
S. K. Mishra, M. K. Jain, V. P. Singh
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SCS-CN Method Revisited Using Entropy Theory
Transactions of the ASABE, 2013Abstract. The SCS-CN method is one of the most popular methods for computing runoff from small watersheds (agricultural, forest, rural, and urban) for individual rainfall events. This study revisits the method using the entropy theory, which provides insights into the structure of the method and permits derivation of the probability distributions of
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SCS-CN-based Continuous Simulation Model for Hydrologic Forecasting
Water Resources Management, 2007A new lumped conceptual model based on the Soil Conservation Service Curve Number (SCS-CN) concept has been proposed in this paper for long-term hydrologic simulation and it has been tested using the data of five catchments from different climatic and geographic settings of India. When compared with the Mishra et al.
GEETHA, K +4 more
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Comparative evaluation of SCS-CN-inspired models in applications to classified datasets
Agricultural Water Management, 2010One of the popular methods for estimating the depth of surface runoff for a given rainfall event is the Soil Conservation Service Curve Number (SCS-CN) method. Of late, several inconsistencies in its soil moisture accounting procedure have been pointed out by Michel et al. (2005), and a more rational procedure suggested.
SAHU, RK, MISHRA, SK, ELDHO, TI
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Initial Abstraction Ratio in the SCS-CN Method in the Loess Plateau of China
Transactions of the ASABE, 2011The Soil Conservation Service curve number (SCS-CN) method is widely used to predict runoff because of its simplicity. The initial abstraction ratio (λ), which is assumed to have a default value of 0.2 in the SCS-CN method, is an important influence factor for runoff estimation. A more reasonable value may improve the performance of this method.
null S. Fu +3 more
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