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Application of the SCS-CN Model to Runoff Estimation in a Small Watershed with High Spatial Heterogeneity

Pedosphere, 2011
For reasons of simplicity, the most commonly used hydrological models are based on the Soil Conservation Service Curve Number (SCS-CN) model, which is probably a good choice for the estimation of runoff on the Loess Plateau of China; however, the high spatial heterogeneity, mainly caused by a fragmented landform and variations in soil type, may limit ...
B. Xiao   +4 more
semanticscholar   +2 more sources

Revising the SCS-CN model by using the effect of biocrusts to refine the results

Journal of Hydrology
Kangmin Gu   +6 more
semanticscholar   +2 more sources

SCS-CN-based modeling of sediment yield

Journal of Hydrology, 2006
Coupling the soil conservation service curve number (SCN-CN) method with the universal soil loss equation (USLE), a new model is proposed for the estimation of the rainstorm-generated sediment yield from a watershed. The coupling is based on three hypotheses: (1) the runoff coefficient is equal to the degree of saturation, (2) the potential maximum ...
S.K. Mishra   +3 more
openaire   +1 more source

Evaluation of the SCS-CN-Based Model Incorporating Antecedent Moisture

Water Resources Management, 2004
Using 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
openaire   +1 more source

Evaluation of AMC-Dependent SCS-CN-Based Models Using Watershed Characteristics

Water Resources Management, 2006
This paper presents a quantitative evaluation of the existing Soil Conservation Service Curve Number (SCS-CN) model, its variants, and the modified Mishra and Singh (MS) models for their suitability to particular land use, soil type and combination thereof using a large set of rainfall-runoff data from small to large watersheds of the U.S.A.
M. K. Jain, S. K. Mishra, V. P. Singh
openaire   +1 more source

Effects of hillslope geometry on spatial infiltration using the TOPMODEL and SCS-CN models

Hydrological Sciences Journal, 2019
ABSTRACTThe estimation of infiltration is a main issue in runoff simulation. The geometry of hillslopes (plan shape and profile curvature) may affect the responses, as well as infiltration over the...
M. H. Pishvaei   +3 more
openaire   +1 more source

Estimation of Surface Runoff by SCS-CN Model for the Mountainous watershed of Chhota Rangit River Basin of Darjeeling, India

Ecology, environment & conservation
Surface runoff significantly affects the hydrological characteristics and soil erosion of the river basin. Rainfall, land use land cover and soil texture determines the amount of surface runoff. The estimation of surface runoff is one of the prerequisite
K. Lepcha
semanticscholar   +1 more source

A Modified LAPSUS Model to Enhance the Effective Rainfall Estimation by SCS-CN Method

Water Resources Management, 2018
In this study, LAPSUS model is modified to enhance the effective rainfall estimation by SCS curve number method. The LAPSUS model calculates discharge based on effective rainfall and routs it towards lower neighbouring grid cells following the multiple flow direction principle.
Masoud Eshghizadeh   +2 more
openaire   +1 more source

An enhanced SMA based SCS-CN inspired model for watershed runoff prediction

Environmental Earth Sciences, 2017
Incorporation of initial soil moisture (V 0) in the Soil Conservation Service Curve Number (SCS-CN) methodology helps to avoid the sudden jumps in Curve Number (CN) and, in turn, in computed runoff. It invoked the development of an enhanced (yet simple) Soil Moisture Accounting (SMA) procedure-based-SCS-CN inspired model, by ...
S. Verma   +4 more
openaire   +1 more source

Influence of land cover data sources on an estimation of runoff according to SCS-CN and modified MSME Model

2023
The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)
Wałęga, A.   +3 more
openaire   +2 more sources

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