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SCS-CN-based Continuous Simulation Model for Hydrologic Forecasting

Author

Listed:
  • K. Geetha
  • S. Mishra
  • T. Eldho
  • A. Rastogi
  • R. Pandey

Abstract

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. ( 2005 ) model based on variable source area (VSA) concept, the proposed model performed better in all applications. Both the models however exhibited a better match between the simulated and observed runoff in high runoff producing watersheds than did in low runoff producing catchments. Using the results of the proposed model, dominant/dormant processes involved in watershed’s runoff generating mechanism have also been identified. The presented model is found useful in the continuous simulation of rainfall–runoff process in watersheds. Copyright Springer Science+Business Media, Inc. 2008

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:22:y:2008:i:2:p:165-190
    DOI: 10.1007/s11269-006-9149-5
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    Cited by:

    1. Muhammad Ajmal & Jae-Hyun Ahn & Tae-Woong Kim, 2016. "Excess Stormwater Quantification in Ungauged Watersheds Using an Event-Based Modified NRCS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1433-1448, March.
    2. 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.
    3. John Raffensperger & Thomas Cochrane, 2010. "A Smart Market for Impervious Cover," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(12), pages 3065-3083, September.
    4. Shin-Jen Cheng, 2010. "Generation of Runoff Components from Exponential Expressions of Serial Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3561-3590, October.
    5. 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.
    6. Mohammad Reza KHALEGHI, 2017. "The influence of deforestation and anthropogenic activities on runoff generation," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 63(6), pages 245-253.
    7. Robyn Horan & Pawan S. Wable & Veena Srinivasan & Helen E. Baron & Virginie J. D. Keller & Kaushal K. Garg & Nathan Rickards & Mike Simpson & Helen A. Houghton-Carr & H. Gwyn Rees, 2021. "Modelling Small-Scale Storage Interventions in Semi-Arid India at the Basin Scale," Sustainability, MDPI, vol. 13(11), pages 1-28, May.
    8. Muhammad Ajmal & Jae-Hyun Ahn & Tae-Woong Kim, 2016. "Excess Stormwater Quantification in Ungauged Watersheds Using an Event-Based Modified NRCS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1433-1448, March.

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