z-logo
open-access-imgOpen Access
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 ...

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom