Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal ARRUS Journal of Engineering and Technology
Haile, Mesfin Mamo
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Bivariate Flood Frequency Analysis: A case study of Rib River, Upper Blue Nile Basin, Ethiopia Haile, Mesfin Mamo
ARRUS Journal of Engineering and Technology Vol. 2 No. 2 (2022)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech489

Abstract

Hydrological design, planning and design of flood mitigation structures require detailed knowledge of the characteristics of the flood event, i.e. peaks, volumes, occurrence times and duration. In addition to the uncertainty associated with the occurrence in both space and time, these events may often have a correlation of varying strengths. The literature study interestingly reveals that the majority of studies are based on a univariate approach rather than a more realistic approach that recognizes the multivariate nature of the underlying phenomenology. Therefore, the main objective of this study is to revisit the topic of sizing of flood events in terms of their frequency of occurrence using the ‘Copula’ based bivariate approach to analyze the joint distributions of correlated flood variables with a special focus on Ribb sub basin, Upper Blue Nile (Ethiopia) as the case study. The methodology was applied to flood attributes, i.e. flood peaks and volume generation from partial duration series (PDS) by applying run theory. The Joint Cumulative Distribution Function, the Conditional Cumulative Distribution Function and the associated Return Periods can be easily achieved based on the bivariate distribution of the copula and compared to the univariate analysis.
Bivariate Flood Frequency Analysis: A case study of Rib River, Upper Blue Nile Basin, Ethiopia Haile, Mesfin Mamo
ARRUS Journal of Engineering and Technology Vol. 2 No. 2 (2022)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech489

Abstract

Hydrological design, planning and design of flood mitigation structures require detailed knowledge of the characteristics of the flood event, i.e. peaks, volumes, occurrence times and duration. In addition to the uncertainty associated with the occurrence in both space and time, these events may often have a correlation of varying strengths. The literature study interestingly reveals that the majority of studies are based on a univariate approach rather than a more realistic approach that recognizes the multivariate nature of the underlying phenomenology. Therefore, the main objective of this study is to revisit the topic of sizing of flood events in terms of their frequency of occurrence using the ‘Copula’ based bivariate approach to analyze the joint distributions of correlated flood variables with a special focus on Ribb sub basin, Upper Blue Nile (Ethiopia) as the case study. The methodology was applied to flood attributes, i.e. flood peaks and volume generation from partial duration series (PDS) by applying run theory. The Joint Cumulative Distribution Function, the Conditional Cumulative Distribution Function and the associated Return Periods can be easily achieved based on the bivariate distribution of the copula and compared to the univariate analysis.
Co-Authors