Frequency analysis of annual one day to five consecutive days maximum rainfall for Gandak river basin

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    The present study has been conducted for rainfall intensity and frequency estimation for the Gandak basin, a region prone to high floods with an unrealized and unexplored hydro-potential. The two popular gridded precipitation datasets i.e.: (1) APHRODITE, and (2) IMD, for the years 1969-2005, has been used to calculate the mean basin precipitation through the Thiessen polygon method on the ARC-GIS interface. This computed data was used to find out the 1-day, 2-day to 5-day consecutive maximum precipitation series and hence fitted into various well-known probability distribution functions viz., Normal, Gamma, Exponential, etc. According to the best fit data in these functions, the quantiles were determined corresponding to a return period of 2, 10, 20, 25, 50 and 100 years. The two widely used tests: Chi-square Test and Kolmogorov-Smirnov Test were employed to further check the goodness of fit of the series in the distributions. The results reveal that the best fit for 1-day was achieved with the normal distribution, for 2-day with GEV and with GPAR for the remaining maximum consecutive days rainfall. Such studies have thus proven to be substantially facilitative in planning for the safe and economic design of various engineered structures such as bridges, culverts, levees, canals, irrigation and drainage works and effective reservoir management.

    Keywords: Floods, Frequency, Hydrology, Probability Distribution, Rainfall.

  • References

    1. Bhakar, S., Bansal, A.K., Chhajed, N. & Purohit, R. Frequency analysis of consecutive days maximum rainfall at Banswara, Rajasthan, India. ARPN Journal of Engineering and Applied Sciences 1, 64-67, 2006.
    2. Chakravarti, Indra Mohan, Radha Govira Laha, and Jogabrata Roy. Handbook of methods of applied statistics. 1. Techniques of computation, descriptive methods, and statistical inference. Wiley, 1967.
    3. Fowler, H. & Kilsby, C. A regional frequency analysis of United Kingdom extreme rainfall from 1961 to 2000. International Journal of Climatology 23, 1313-1334, 2003.
    4. Hamed, K. & Rao, A.R. Flood frequency analysis, CRC press, 2010.
    5. Jain, S.K. Impact of retreat of Gangotri glacier on the flow of Ganga River. Curr. Sci 95, 1012-1014, 2008.
    6. Jarvis, A., Reuter, H., Nelson, A., & Guevara, E. Hole-filled SRTM for the globe Version 4. Available from the CGIAR-CSI SRTM 90m Database (http: //srtm. csi. cgiar. org), 2008.
    7. Kwaku, X.S. & Duke, O. Characterization and frequency analysis of one day annual maximum and two five consecutive days' maximum rainfall of Accra, Ghana. ARPN J. Eng. Appl. Sci 2, 27-31, 2007.
    8. Rizvi, R., Singh, R., Yadav, R., Tewari, R., Dadhwal, K., & Solanki, K. Probability analysis of annual maximum daily rainfall for bundelkhand region of Uttar Pradesh. Indian J. Soil Conser 29, 259-262, 2001.
    9. Sharda, V. & Bhushan, L. Probability analysis of annual maximum daily rainfall for Agra. Indian Journal of Soil Conservation 13, 16-20, 1985.
    10. Snedecor, George W., and W. G. Cochran. "Statistical methods, 8thEdn."Ames: Iowa State Univ. Press Iowa (1989).
    11. Upadhaya, A. & Singh, S. Estimation of consecutive days Maximum Rainfall by Various Methods and their Comparison. Indian J. Soil Conser 26, 193-2001, 1998.




Article ID: 1803
DOI: 10.14419/ijet.v3i2.1803

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.