Performance Investigation of Nakagami-m Distribution to Derive Flood Hydrograph by Genetic Algorithm Optimization Approach-Reference-Cited by-同舟云学术

Performance Investigation of Nakagami-m Distribution to Derive Flood Hydrograph by Genetic Algorithm Optimization Approach

Published:2010-08 Issue:8 Volume:15 Page:658-666
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Sarkar S.¹²³,Goel N. K.¹²³,Mathur B. S.¹²³

Affiliation:

1. Assistant Professor, Dept. of Mechanical Engineering, North Eastern Regional Institute of Science and Technology (NERIST) (Deemed Univ.), Nirjuli-791 109, Itanagar. Arunachal Pradesh, India (corresponding author).

2. Professor, Dept. of Hydrology, Indian Institute of Technology Roorkee, Roorkee-247 667, Uttarakhand, India.

3. Retired Professor and Emeritus Fellow, Dept. of Hydrology, Indian Institute of Technology Roorkee, Roorkee-247 667, Uttarakhand, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0000220

Reference35 articles.

1. Simplified Two-Parameter Gamma Distribution for Derivation of Synthetic Unit Hydrograph

2. Closure to “Simplified Two-Parameter Gamma Distribution for Derivation of Synthetic Unit Hydrograph” by P. K. Bhunya, S. K. Mishra, and Ronny Berndtsson

3. Parameter Estimation of Beta Distribution for Unit Hydrograph Derivation

4. Reception Through Nakagami Fading Multipath Channels with Random Delays

5. Gamma synthetic hydrographs

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