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  Published Paper Details:

  Paper Title

ESTIMATING PRECIPITATION AND ITS ABSTRACTIONS USING WEB APPLICATION: A FUNDAMENTAL APPROACH

  Authors

  Aman Srivastava,  Vijay Motamwar,  Leena Khadke,  Aditya Dhanuka,  Ankush Patil

  Keywords

Rainfall-runoff process, Software, Program, Precipitation, Hydrology, Infiltration, Evaporation, Evapotranspiration

  Abstract


Runoff due to storm event was often the major subject of study. All abstractions from precipitation like evaporation, evapotranspiration, interception, infiltration, surface detention and storage were considered as losses in the production of runoff. Depending upon the catchment characteristics and factors affecting it, several empirical formulae had been suggested from time to time for estimating these parameters. But the parameters calibrated manually using the data obtained from the field into the empirical relations were found to be time consuming, tedious and demand experience. Obtaining the data from the field and analysing the same in the laboratory delayed the work. Hence, the general idea was to standardize the above parameters in a single program using software programming methodologies. The program using this approach was able to estimate the values of the parameters involved in the rainfall-runoff process. The purpose of this paper was to develop computer-based programming for estimating the precipitation in the given catchment along with the abstractions of the precipitation in the same catchment. The approach was to assemble fundamental equations and empirical relations of rainfall-runoff process for estimating the values into one program. The program had considered all those parameters affecting the catchment hydrology. It was going to be a productive methodology for site engineers as instead of collecting data from the field and analysing it in the laboratory, the same can be achieved on the field itself if this program would be brought in practice. The overall idea of the paper was to avoid manual calculation, instead to provide a computer-based program in order to simplify the conception of basic hydrological events in the given catchment. The future scope of this paper would be to transmute this software programming methodology into an android application for improved use of this contemporary program

  IJCRT's Publication Details

  Unique Identification Number - IJCRTICGT015

  Paper ID - 170952

  Page Number(s) - 110-119

  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,  Vijay Motamwar,  Leena Khadke,  Aditya Dhanuka,  Ankush Patil,   "ESTIMATING PRECIPITATION AND ITS ABSTRACTIONS USING WEB APPLICATION: A FUNDAMENTAL APPROACH", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 12, pp.110-119, December - 2017, Available at :http://www.ijcrt.org/papers/IJCRTICGT015.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
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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