A systematic comparison of statistical and hydrological methods for design flood estimation
Author(s) -
Kenechukwu Okoli,
Maurizio Mazzoleni,
Korbinian Breinl,
Giuliano Di Baldassarre
Publication year - 2019
Publication title -
hydrology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 48
eISSN - 1996-9694
pISSN - 0029-1277
DOI - 10.2166/nh.2019.188
Subject(s) - outlier , computer science , flood myth , benchmark (surveying) , statistics , variance (accounting) , probability distribution , model selection , statistical model , surface runoff , selection (genetic algorithm) , econometrics , mathematics , machine learning , geology , ecology , philosophy , theology , geodesy , accounting , business , biology
We compare statistical and hydrological methods to estimate design floods by proposing a framework based on virtual reality. To illustrate the framework, we used probability model selection and mod ...
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