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A Distributed Kinematic Wave–Philip Infiltration Watershed Model Using FEM, GIS and Remotely Sensed Data

Author

Listed:
  • Reddy Venkata
  • T. Eldho
  • E. Rao
  • N. Chithra

Abstract

Distributed rainfall–runoff modeling is very important in the water resources planning of a watershed. In this study, a kinematic wave based distributed watershed model which simulates runoff on an event basis has been presented here. The finite element method (FEM) has been used to simulate the overland runoff and channel flow. Philip model has been used for the infiltration estimation. To find out runoff at the outlet of the watershed, both overland flow and channel flow models are coupled. The coupled model has been applied to a typical Indian watershed. Remotely sensed data has been used to obtain the land use (LU)/land cover (LC) for the watershed. Slope map of the watershed has been obtained using geographical information systems (GIS). The grid map of the watershed which contains overland flow elements connecting to channel flow elements has been prepared in GIS. The elemental input files such as slope and Manning’s roughness are prepared using the GIS and are directly used in the model. The model has been calibrated using some of the rainfall events and validated for some other events. The model results are compared with the observed data and found to be satisfactory. A sensitivity study of the infiltration parameters, overland and channel flow Manning’s roughness and time step has also been carried out. The developed model is useful for the simulation of event based rainfall–runoff for small watersheds. Copyright Springer Science+Business Media B.V. 2008

Suggested Citation

  • Reddy Venkata & T. Eldho & E. Rao & N. Chithra, 2008. "A Distributed Kinematic Wave–Philip Infiltration Watershed Model Using FEM, GIS and Remotely Sensed Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(6), pages 737-755, June.
    • Handle: RePEc:spr:waterr:v:22:y:2008:i:6:p:737-755
    DOI: 10.1007/s11269-007-9189-5
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    Citations

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    Cited by:

    1. B. Yan & X. Su & Y. Chen, 2009. "Functional Structure and Data Management of Urban Water Supply Network Based on GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(13), pages 2633-2653, October.
    2. Jordan Clayton & Jason Kean, 2010. "Establishing a Multi-scale Stream Gaging Network in the Whitewater River Basin, Kansas, USA," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3641-3664, October.
    3. Renato Morbidelli & Corrado Corradini & Carla Saltalippi & Luca Brocca, 2012. "Initial Soil Water Content as Input to Field-Scale Infiltration and Surface Runoff Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 1793-1807, May.
    4. I. Argyrokastritis & G. Kargas & P. Kerkides, 2009. "Simulation of Soil Moisture Profiles Using K(h) from Coupling Experimental Retention Curves and One-Step Outflow Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(15), pages 3255-3266, December.
    5. 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.
    6. T. Reshma & K. Reddy & Deva Pratap & Mehdi Ahmedi & V. Agilan, 2015. "Optimization of Calibration Parameters for an Event Based Watershed Model Using Genetic Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4589-4606, October.
    7. S. Shahapure & T. Eldho & E. Rao, 2010. "Coastal Urban Flood Simulation Using FEM, GIS and Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3615-3640, October.
    8. Ismail Chenini & Abdallah Mammou & Moufida El May, 2010. "Groundwater Recharge Zone Mapping Using GIS-Based Multi-criteria Analysis: A Case Study in Central Tunisia (Maknassy Basin)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(5), pages 921-939, March.
    9. Chang-Shian Chen & Frederick Chou & Boris Chen, 2010. "Spatial Information-Based Back-Propagation Neural Network Modeling for Outflow Estimation of Ungauged Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 4175-4197, November.
    10. Shoja Ghorbani Dashtaki & Mehdi Homaee & Mohammad Mahdian & Mehdi Kouchakzadeh, 2009. "Site-Dependence Performance of Infiltration Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(13), pages 2777-2790, October.

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