Comparing Regional and At-site L-moments for Estimation of Maximum Monthly Rainfall in the Zayandehroud Basin

Document Type : Research Paper

Authors

1 Grad. Student of Irrigation, Isfahan University of Technology

2 Associate Professor of Irrigation, Isfahan University of Technology

Abstract

One of the conventional problems in frequency analysis and prediction of various hydrologic events is lack of long time records of such events in gauging stations. This problem together with inaccurate at-site estimations has caused increasing application of regional methods for such procedures. In this study, the above mentioned method was used for selection of parent distributions to fit maximum monthly rainfall data of 18 sites in the Zayandehroud basin and, consequently, the GEV distribution was selected to estimate the related parameters and quantiles.

Keywords


1- Hosking, J. R. M. (1990). "L-moments: analysis and estimation of distributions using linear combinations of order statistics," J. of Royal Statistical Society, 52, 105-124.
2- Hosking, J. R. M. (1989). "Some theoretical results concerning L-monents." IBM Research Division.T. J. Watson Research Center Yorktown Heights, N.Y.
3- Lanczos, C. (1957). "Applied analysis." Pitman, London. 286.
4- Hosking, J. R. M., and Wallis, J. R. (1993). "Some statistical usefull in regional frequency analysis." J. Water Resources Research, 29. (2), 271-281.
5- Hosking, J. R. M.(1988). "The 4-parameter kappa distribution." IBM Research   Division,Yorktown Heights, NY., 10598.
6- Hosking, J. R. M. (1991). " Fortran routins for use with the method of L-moments." Version 2, IBM Research Division,Yorktown Heights, NY., 10598.
7- Hosking J. R. M. (2000). "Fortran routines for use with the method of L-moments." Version 3.03, IBM Research Division, Yorktown Heights, N.Y.
8- اسلامیان، س. س. و سلطانی، س. (1381)." تحلیل سیلاب."  انتشارات ارکان، 207.
9- Hosking, J. R. M., Wallis, J. R., and Wood, E. F. (1985). "Estimation of generalized extreme value distribution by the method of probability weighted moments." J. Technometrics, 27, 339-349.