Back to search

Article

Flood Frequency Analysis Using the Bivariate Logistic Model with Non-Stationary Gumbel and GEV Marginals

2025-09-15

Abstract excerpt

Flood frequency analysis is a key tool for estimating return levels, which are essential for reducing human and economic losses. However, the non-stationarity introduced by climate change and land-use changes demands models that explicitly account for these dynamics. In this study, a bivariate logistic model with non-stationary marginals is applied to improve estimation accuracy. Eight stations from a homogeneous...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
66fe749a-343e-50dd-a23f-b12628220b3f
DOI
10.20944/preprints202509.1103.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Flood Frequency Analysis Using the Bivariate Logistic Model with Non-Stationary Gumbel and GEV MarginalsDOI 10.20944/preprints202509.1103.v1
Select a neighboring publication to make it the new centre.