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A USLE and SCS-CN coupled approach for design sediment yield prediction

2023
Knowledge of sediment yield is essential for predicting and mitigating the impact of natural disasters such as floods and landslides as well as for managing water resources and ecosystems of a region. It has been found that a considerable portion of sediment yield is sometimes generated from extreme rainfall events of high magnitude and intensity ...
Ishan Sharma   +4 more
openaire   +1 more source

SCS-CN-based Continuous Simulation Model for Hydrologic Forecasting

Water Resources Management, 2007
A 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
openaire   +2 more sources

SCS-CN Method Revisited Using Entropy Theory

Transactions of the ASABE, 2013
Abstract. 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
openaire   +1 more source

Initial Abstraction Ratio in the SCS-CN Method in the Loess Plateau of China

Transactions of the ASABE, 2011
The 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
openaire   +1 more source

Analogy Between SCS-CN and Muskingum Methods

Water Resources Management, 2023
Esmatullah Sangin   +2 more
openaire   +1 more source

The runoff simulation by SCS-CN model in a catchment area

AIP Conference Proceedings, 2022
Relu Adam   +4 more
openaire   +1 more source

Another Look at SCS-CN Method

Journal of Hydrologic Engineering, 1999
Surendra Kumar Mishra, Vijay P. Singh
openaire   +1 more source

Estimation of Surface Runoff Using GIS Based SCS – CN Method

Agriculture Association of Textile Chemical and Critical Reviews
Water, which is one of the crucial natural resources on the earth, is becoming scarce and there is an ever-increasing need to conserve the water resources. Efficient management of water requires accurate estimation of runoff from the watershed. There are numerous conventional methods available to estimate runoff depth and volume from a given watershed.
V. T. Shinde   +3 more
openaire   +1 more source

Application of SCS-CN for Estimating Runoff on Arid Watershed

2022
Sachin Kumar Behera   +4 more
openaire   +1 more source

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