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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(8): 3626-3639
DOI: https://doi.org/10.20546/ijcmas.2020.908.418


Frequency Analysis for Prediction of Maximum Flood Discharge in Mahanadi River Basin
Panigrahi1, Dipsika Paramjita2*, M. Giri3 and J. C. Paul1
1Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Odisha University of Agriculture & Tech., Bhubaneswar, Odisha, India
2KVK (OUAT), Sakhigopal, Puri, Odisha, India
3Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Odisha University of Agriculture & Tech., Bhubaneswar, Odisha, India
*Corresponding author
Abstract:

Daily discharge data for 30 years of five gauging stations of Mahanadi river basin of Odisha, India were collected and analysed for prediction of peak flood discharge. The five gauging stations under the study are Kantamal, Kesinga, Salebhata, Sundargarh and Tikarapara. Using the daily data, peak daily discharge data of ach station of each year were found out. The peak daily discharge data of various stations were analyzed by “FLOOD” software and the values at different probability of exceedences (PE) by 12 different probability distributions like Normal, Log-Normal (3p), Pearson, Log-Pearson, Weibull, Generalized Pareto, Extreme Value Type III, Gumble-maximum, Gumble-minimum, Generalised Extreme Value, Exponential and Gamma were predicted. The best fit distribution was decided by chi-square test as well as 2 other statistical tests i.e. root mean square error (RMSE) and mean absolute relative error (MARE). Based on the lowest values of statistical parameters of Chi square, RMSE and MARE, best fit probability distributions of each station was decided. Generalised Pareto distribution for Kantamal and Kesinga, Log-Pearson in Salebhata and Sundargarh station and Generalised Extreme Value in Tikarapara station are found to be the best fit probability distribution. Values of discharge at different probability levels were predicted by the best fit distributions for each station. Values of peak discharge at 20% PE level as predicted by the best fit distributions for Kantamal, Kesinga, Salebhata, Sundargarh and Tikarapara are 14964.51, 13286.95, 4171.32, 3106.23 and 28057.23 m3/s, respectively. These values may be considered for design of hydraulic structures in respective stations. 


Keywords: Stage, Discharge, Flood, Probability distribution function, Probability of exceedence, FLOOD software
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How to cite this article:

Panigrahi, B., Dipsika Paramjita, M. Giri and Paul, J. C. 2020. Frequency Analysis for Prediction of Maximum Flood Discharge in Mahanadi River Basin.Int.J.Curr.Microbiol.App.Sci. 9(8): 3626-3639. doi: https://doi.org/10.20546/ijcmas.2020.908.418