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Decreasing flood hazard evaluated in Turkey using nonstationary models

Abstract:

An assessment of changing flood hazard in the river basins of Turkey is currently lacking. This study evaluates the drivers of flood flows using distributional regression models. The generalized additive models for location, scale, and shape (GAMLSS), a flexible framework well-suited to probabilistic nonstationary modeling, is applied to annual instantaneous maximum flows (AIMF) from 12 gauging stations located in the upper, middle and lower parts of the Euphrates basin, the most important ri...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/rra.3998

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Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Geography
Oxford college:
Hertford College
Role:
Author
ORCID:
0000-0001-9416-488X
Publisher:
Wiley Publisher's website
Journal:
River Research and Applications Journal website
Publication date:
2022-06-10
Acceptance date:
2022-05-05
DOI:
EISSN:
1535-1467
ISSN:
1535-1459
Language:
English
Keywords:
Pubs id:
1256246
Local pid:
pubs:1256246
Deposit date:
2022-05-05

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