Bivariate flood frequency analysis using the copula function: a case study of the Litija station on the Sava River

By Mojca Šraj, Nejc Bezak, M. Brilly. 2015

185 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/5a54e3f9598defbf7b2982d833842002d44752d1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. A. Daneshkhah
2. I. Holman
3. Dedi Liu
4. Zhangjun Liu
5. Renji Remesan
6. Omid Chatrabgoun
7. Shenglian Guo

In Global and Planetary Change

1. A. Daneshkhah
2. I. Holman
3. Dedi Liu
4. Zhangjun Liu
5. Guang Yang
6. Renji Remesan
7. Omid Chatrabgoun
8. Yixuan Zhong

Citations in the corpus

• Uncertainty Analysis of Bivariate Design Flood Estimation and its Impacts on Reservoir Routing (2018, methodology): “For example in flood frequency analysis (Favre et al. 2004; Sraj et al. 2015), drought frequency analysis (Salvadori and De Michele 2015; Kwon and Lall 2016), rainfall frequency analysis (Goel et al.”
• Probabilistic modeling of flood characterizations with parametric and minimum information pair-copula model (2016, methodology): “The n-dimensional t-Student copula has been widely used for modeling of the hydrological (Ganguli and Reddy, 2013; Sraj et al., 2014).”