Improved Storm Duration and Antecedent Moisture Condition Coupled SCS-CN Concept-Based Model

2012 ◽  
Vol 17 (11) ◽  
pp. 1173-1179 ◽  
Author(s):  
Ram Kumar Sahu ◽  
S. K. Mishra ◽  
T. I. Eldho
Keyword(s):  
Moisture Condition ◽  
Antecedent Moisture ◽  
Antecedent Moisture Condition ◽  
Storm Duration ◽  
Scs Cn

scholarly journals Improved SMA-based SCS-CN method incorporating storm duration for runoff prediction on the Loess Plateau, China

2020 ◽  
Vol 51 (3) ◽  
pp. 443-455
Author(s):  
Wenhai Shi ◽  
Ni Wang
Keyword(s):  
Loess Plateau ◽  
Curve Number ◽  
The Loess Plateau ◽  
Moisture Condition ◽  
Soil Moisture Accounting ◽  
Antecedent Moisture ◽  
Storm Duration ◽  
Service Curve ◽  
Scs Cn ◽  
Runoff Events

Abstract In the Soil Conservation Service Curve Number (SCS-CN) method for estimating runoff, three antecedent moisture condition (AMC) levels produce a discrete relation between the curve number (CN) and soil water content, which results in corresponding sudden jumps in estimated runoff. An improved soil moisture accounting (SMA)-based SCS-CN method that incorporates a continuous function for the AMC was developed to obviate sudden jumps in estimated runoff. However, this method ignores the effect of storm duration on surface runoff, yet this is an important component of rainfall-runoff processes. In this study, the SMA-based method for runoff estimation was modified by incorporating storm duration and a revised SMA procedure. Then, the performance of the proposed method was compared to both the original SCS-CN and SMA-based methods by applying them in three experimental watersheds located on the Loess Plateau, China. The results indicate that the SCS-CN method underestimates large runoff events and overestimates small runoff events, yielding an efficiency of 0.626 in calibration and 0.051 in validation; the SMA-based method has improved runoff estimation in both calibration (efficiency = 0.702) and validation (efficiency = 0.481). However, the proposed method performed significantly better than both, yielding model efficiencies of 0.810 and 0.779 in calibration and validation, respectively.

scholarly journals Study on Antecedent Moisture Condition for Seolma Stream Basin

2013 ◽  
Vol 15 (4) ◽  
pp. 609-618
Author(s):  
Sidoeun Ly ◽  
Hyun Seok Shin ◽  
Duck Hwan Kim ◽  
Beom Jun Kim ◽  
Hung Soo Kim
Keyword(s):  
Moisture Condition ◽  
Antecedent Moisture ◽  
Antecedent Moisture Condition

scholarly journals A Historical Review of Slope Based SCS Method and its Effect on CN and Runoff Potential Globally

2020 ◽  
Author(s):  
Tauseef Ahmad Ansari ◽  
Yashwant B Katpatal ◽  
C Rishma
Keyword(s):  
Soil Conservation ◽  
Historical Review ◽  
Curve Number ◽  
Soil Conservation Service ◽  
Moisture Condition ◽  
Antecedent Moisture ◽  
Runoff Potential ◽  
Service Curve ◽  
Scs Cn ◽  
Large Catchment

The Soil Conservation Service - Curve Number (SCS-CN) method is extensively used to calculate the runoff from rainfall over a large catchment over the world. Slope is an important criterion for runoff but a very few attempts have been made to evaluate the effect of slope on the CN with runoff potential. The objective of this paper is to summarise the historical review on the effects of slope on CN and runoff potential in various regions by the hydrologists. This paper also depicts that how the various researchers proved the importance of consideration of slope for CN and runoff estimation. In addition, paper highlights the key features of research in future like to classify the watersheds on slope based CN, accurate Antecedent Moisture Condition (AMC) and proper initial abstraction in the various regions etc. Considering these parameters an accurate runoff estimation can be predicted and managed properly in the urban watersheds.

Antecedent Moisture Condition Probabilities

1982 ◽  
Vol 108 (2) ◽  
pp. 107-114
Author(s):  
Donald D. Gray ◽  
Peter G. Katz ◽  
Sharon M. deMonsabert ◽  
Neroli P. Cogo
Keyword(s):  
Moisture Condition ◽  
Antecedent Moisture ◽  
Antecedent Moisture Condition
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