Some Probability Distributions and L-Moment in Hydrological Engineering 
Khurshid Ahmad1, Bashir Ahmad2, Akhtar Alam3
1Dr. Khurshid Ahmad Bhat*, Senior Lecture, Department of Education J&K, India
2Dr. Bashir Ahmad, Lecture, Department of Education J&K, India.
3Dr. Akhter Alam, Assistant Professor, Department of Geography, University of Kashmir, India.
Manuscript received on June 01, 2020. | Revised Manuscript received on June 08, 2020. | Manuscript published on June 30, 2020. | PP: 1131-1134 | Volume-9 Issue-5, June 2020. | Retrieval Number: C6220029320/2020©BEIESP | DOI: 10.35940/ijeat.C6220.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: L-Moments, Jhelum, P-P plot, L-moment ratio diagram, Return period.