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Identification of the SCS-CN Parameter Spatial Distribution Using Rainfall-Runoff Data in Heterogeneous Watersheds

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  • Konstantinos Soulis
  • John Valiantzas

Abstract

The Soil Conservation Service Curve Number (SCS-CN) method is widely used for predicting direct runoff volume for a given rainfall event. However, previous results indicated that when the CN value is determined from measured rainfall-runoff data in a natural watershed it is not possible to attribute a single CN value to the watershed, but actually the calculated CN values vary systematically with the rainfall depth. In a previous study, the authors investigated the hypothesis that the observed correlation between the calculated CN value and the rainfall depth in a watershed reflects the effect of the inevitable presence of soil-cover complex spatial variability along watersheds. In this study, a method to determine SCS-CN parameter values from rainfall-runoff data in heterogeneous watersheds is proposed. This method exploits the observed correlation between the calculated CN values and the rainfall depths in order to identify the spatial distribution of CN values along the watershed taking in to account the specific characteristics of the watershed. The proposed method utilizes the available rainfall-runoff data, remote sensing data and GIS techniques in order to provide information on spatial watershed characteristics that drive hydrological behavior. Furthermore, it allows the estimation of CN values for specific soil-land cover complexes in more complex watersheds. The proposed method was tested in a small experimental watershed in Greece. The watershed is equipped with a dense hydro-meteorological network, which together with a detailed land cover and soil survey using remote sensing and GIS techniques provided the detailed data required for this analysis. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Konstantinos Soulis & John Valiantzas, 2013. "Identification of the SCS-CN Parameter Spatial Distribution Using Rainfall-Runoff Data in Heterogeneous Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(6), pages 1737-1749, April.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:6:p:1737-1749
    DOI: 10.1007/s11269-012-0082-5
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    References listed on IDEAS

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    1. K. Geetha & S. Mishra & T. Eldho & A. Rastogi & R. Pandey, 2008. "SCS-CN-based Continuous Simulation Model for Hydrologic Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(2), pages 165-190, February.
    2. S. K. Mishra & M. K. Jain & V. P. Singh, 2004. "Evaluation of the SCS-CN-Based Model Incorporating Antecedent Moisture," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(6), pages 567-589, December.
    3. S. Mishra & R. Sahu & T. Eldho & M. Jain, 2006. "An Improved I a S Relation Incorporating Antecedent Moisture in SCS-CN Methodology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(5), pages 643-660, October.
    4. Mohamed Elhakeem & Athanasios Papanicolaou, 2009. "Estimation of the Runoff Curve Number via Direct Rainfall Simulator Measurements in the State of Iowa, USA," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2455-2473, September.
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    1. Fazhi Li & Jingqiu Chen & Yaoze Liu & Peng Xu & Hua Sun & Bernard A. Engel & Shizhong Wang, 2019. "Assessment of the Impacts of Land Use/Cover Change and Rainfall Change on Surface Runoff in China," Sustainability, MDPI, vol. 11(13), pages 1-19, June.
    2. Konstantinos X. Soulis & Emmanouil Psomiadis & Paraskevi Londra & Dimitris Skuras, 2020. "A New Model-Based Approach for the Evaluation of the Net Contribution of the European Union Rural Development Program to the Reduction of Water Abstractions in Agriculture," Sustainability, MDPI, vol. 12(17), pages 1-25, September.
    3. Xianhong Meng & Min Zhang & Jiahong Wen & Shiqiang Du & Hui Xu & Luyang Wang & Yan Yang, 2019. "A Simple GIS-Based Model for Urban Rainstorm Inundation Simulation," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    4. Tao Tao & Du Wang & Ganping Huang & Liqing Lin & Chenhao Wu & Qixin Xu & Jun Zhao & Guangren Qian, 2023. "Assessing the Long-Term Hydrological Effects of Rapid Urbanization in Metropolitan Shanghai, China: The Finer the Landscape Classification, the More Accurate the Modeling?," Sustainability, MDPI, vol. 15(8), pages 1-14, April.
    5. Min Fan & Hideaki Shibata, 2014. "Spatial and Temporal Analysis of Hydrological Provision Ecosystem Services for Watershed Conservation Planning of Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3619-3636, September.
    6. D. R. Edwards, 2017. "Long-Term Spatio-Temporal Variation in Runoff Curve Number under Consistent Cover Conditions: a Southeastern US Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3491-3505, September.
    7. P. Singh & S. Mishra & R. Berndtsson & M. Jain & R. Pandey, 2015. "Development of a Modified SMA Based MSCS-CN Model for Runoff Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 4111-4127, September.

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