SCS-CN-based Continuous Simulation Model for Hydrologic Forecasting

Geetha, K.; Mishra, Sudipta K.; Eldho, T. I.; Rastogi, A. K.; Pandey, Rajendra

doi:10.1007/s11269-006-9149-5

Cited by 63 publications

(37 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Simanton et al, 1996;Mishra et al, 2005b;Jain et al, 2006;Sahu et al, 2007;Brocca et al, 2008;Kannan et al, 2008;Mishra et al, 2008). Hawkins (1973Hawkins ( , 1979 for a certain number of watersheds in the US indicated the presence of a correlation between the CN values and the rainfall depth. He attributed this correlation to the existence of an impermeable area in the basin, which mainly contributes to the total runoff.…”

Section: Introductionmentioning

confidence: 98%

Investigation of the direct runoff generation mechanism for the analysis of the SCS-CN method applicability to a partial area experimental watershed

Soulis

Valiantzas

Dercas

et al. 2009

Hydrol. Earth Syst. Sci.

123

View full text Add to dashboard Cite

Abstract. The Soil Conservation Service Curve Number (SCS-CN) method is widely used for predicting direct runoff volume for a given rainfall event. The applicability of the SCS-CN method and the direct runoff generation mechanism were thoroughly analysed in a Mediterranean experimental watershed in Greece. The region is characterized by a Mediterranean semi-arid climate. A detailed land cover and soil survey using remote sensing and GIS techniques, showed that the watershed is dominated by coarse soils with high hydraulic conductivities, whereas a smaller part is covered with medium textured soils and impervious surfaces. The analysis indicated that the SCS-CN method fails to predict runoff for the storm events studied, and that there is a strong correlation between the CN values obtained from measured runoff and the rainfall depth. The hypothesis that this correlation could be attributed to the existence of an impermeable part in a very permeable watershed was examined in depth, by developing a numerical simulation water flow model for predicting surface runoff generated from each of the three soil types of the watershed. Numerical runs were performed using the HYDRUS-1D code. The results support the validity of this hypothesis for most of the events examined where the linear runoff formula provides better results than the SCS-CN method. The runoff coefficient of this formula can be taken equal to the percentage of the impervious area. However, the linear formula should be applied with caution in case of extreme events with very high rainfall intensities. In this case, Correspondence to: K. X. Soulis (soco@aua.gr) the medium textured soils may significantly contribute to the total runoff and the linear formula may significantly underestimate the runoff produced.

show abstract

Section: Introductionmentioning

confidence: 98%

Investigation of the direct runoff generation mechanism for the analysis of the SCS-CN method applicability to a partial area experimental watershed

Soulis

Valiantzas

Dercas

et al. 2009

Hydrol. Earth Syst. Sci.

123

View full text Add to dashboard Cite

show abstract

“…Soil Conservation Service-Curve Number) model variant developed by Geetha et al [23] and the assessment of the resulting correlations between measured and simulated discharges. This model approach considers temporal variations of the curve number, and simulates the total streamflow with its components such as surface runoff, through-flow and base flow.…”

Section: Discussionmentioning

confidence: 99%

Derivation of Flow Duration Curves to Estimate Hydropower Generation Potential in Data-Scarce Regions

Reichl

Hack

2017

Water

View full text Add to dashboard Cite

Small-scale hydropower is a robust and reliable form of sustainable energy supply in remote areas. On the one hand, the potential for hydropower generation depends on the specific climate in a given place, and precipitation above all. On the other hand, such potential also depends on the catchment's characteristics, e.g., topography, land use, and soils. In the absence of discharge measurements, the available river flow for hydropower production can be estimated in the form of a flow duration curve based on these variables. In this study, the lumped rainfall-runoff method by Crawford and Thurin (1981) was modified to calculate a flow duration curve with a daily time step for an ungauged catchment in Nicaragua. Satisfactory results could be obtained by calibrating the method with the aid of a few discharge measurements. Best results were obtained with a parameter set for groundwater flow and recharge to groundwater from excess soil moisture of 0.014 and 0.6, respectively. Considering the climate and catchment characteristics of the study site, this parameterization can be physically reasoned.

show abstract

“…This method is one of the most popular and widely used methods in hydrologic modeling and hydrologic forecasting (e.g. van Dijk, 2010;Maharjan et al, 2009;Geetha et al, 2008). In the study of Lastra et al (2008), they chose the SCS method, for it is commonly used in different environments and delivers good results.…”

Section: Hydrologic Modeling: Hec-hmsmentioning

confidence: 99%

Reconstructing the Tropical Storm Ketsana flood event in Marikina River, Philippines

Abon

David

Pellejera

2011

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. In September 2009, Tropical Storm Ketsana (local name: TS Ondoy) hit the Manila metropolitan area (Metro Manila) and brought an anomalous volume of rain that exceeded the Philippines' forty-year meteorological record. The storm caused exceptionally high and extensive flooding. Part of this study was a survey conducted along the stretch of the Marikina River, one of the major rivers that flooded. Postevent resident interviews were used to reconstruct the flooding in the absence of stream gauge data. Hydraulic and hydrologic modeling were carried out to understand the mechanism that brought the flood. Peak floods occurred at different hours along the river resulting from the transmission of water from the main watershed to the downstream areas. Modeled peak flood and flood timing coincided well with actual observations except for downstream stations where actual peak floods were observed to have occurred at a later time. Compounding factors such as other flood sources and stream backflow could have caused this discrepancy. Nevertheless, prediction of flood heights and the use of the known time lag between the peak rainfall and the peak runoff could be utilized to issue timely flood forecasts to allow people to prepare for future flooding.

show abstract

SCS-CN-based Continuous Simulation Model for Hydrologic Forecasting

Cited by 63 publications

References 28 publications

Investigation of the direct runoff generation mechanism for the analysis of the SCS-CN method applicability to a partial area experimental watershed

Investigation of the direct runoff generation mechanism for the analysis of the SCS-CN method applicability to a partial area experimental watershed

Derivation of Flow Duration Curves to Estimate Hydropower Generation Potential in Data-Scarce Regions

Reconstructing the Tropical Storm Ketsana flood event in Marikina River, Philippines

Contact Info

Product

Resources

About