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Published June 30, 2020 | Version v1
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Some Probability Distributions and L-Moment in Hydrological Engineering

  • 1. Senior Lecture, Department of Education J&K, India
  • 2. Lecture, Department of Education J&K, India
  • 3. Assistant Professor, Department of Geography, University of Kashmir, India.
  • 1. Publisher


Extreme hydrological situations constantly disturb the earth activities and life, to envisage such extreme activities we need a system that alarms well on time and recognized the expected danger; to prepare such systems one must have knowledge of the significant factors that are actively responsible for such extreme situations and we should have a reliable statistical technique that helps to prepare a useful model for such systems. In this paper we investigate the historical data of peak flood from several gauging stations of river Jhelum in Kashmir, India. A reliable estimation technique (L-moment) is applied for parametric estimation of the probability distributions and a reliable testing techniques are used to check the accuracy of fitting of the distribution, in additional to that L-moment ratio diagram (LMRD) is used to impart information about fitting of distribution. Log Pearsons-III distribution shows better results and satisfies tests of distribution fitting, same probability distribution is globally accepted for flood forecasting.



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Journal article: 2249-8958 (ISSN)


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