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  Published Paper Details:

  Paper Title

REVIEW OF HYDROLOGICAL MODEL FOR SIMULATING PRECIPITATION-RUNOFF PROCESS

  Authors

  Aman Srivastava,  Leena Khadke ,  Vijay Motamwar,  Aditya Dhanuka,  Dr. Sunil S. Pusadkar

  Keywords

Hydrological model, Rainfall- runoff process, Rational Hydrograph Method, Geographical Information System method, Artificial Neural Method, Genetic Algorithm Method and Dynamic Identifiability Method

  Abstract


The review contains the study of diverse advance methodologies of developing hydrological models for estimating runoff. The use of water budgeting was found feasible with the availability of the digital computers. The methodology of developing hydrological model explained the parameter identifiability, modelling the parameters, calibration, verification, advantages and its limitations. The methodologies studied was Rational Hydrograph Method, Geographical Information System method, Artificial Neural Method, Genetic Algorithm Method and Dynamic Identifiability Method. The objective was to compare their models with respect to the simulation performed for precipitation-runoff process in the catchment.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTICGT012

  Paper ID - 170949

  Page Number(s) - 78-91

  Pubished in - Volume 5 | Issue 12 | December - 2017

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Aman Srivastava,  Leena Khadke ,  Vijay Motamwar,  Aditya Dhanuka,  Dr. Sunil S. Pusadkar,   "REVIEW OF HYDROLOGICAL MODEL FOR SIMULATING PRECIPITATION-RUNOFF PROCESS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 12, pp.78-91, December - 2017, Available at :http://www.ijcrt.org/papers/IJCRTICGT012.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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