@Article{CassalhoBesMelOliAgu:2019:EvFlTi,
author = "Cassalho, Fel{\'{\i}}cio and Beskow, Samuel and Mello, Carlos
Rog{\'e}rio and Oliveira, Leroi Floriano and Aguiar, Marilton
Sanchotene",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Federal de Pelotas (UFPel)} and {Universidade
Federal de de Lavras (UFLA)} and {Universidade Federal de Pelotas
(UFPel)} and {Universidade Federal de Pelotas (UFPel)}",
title = "Evaluation of flood timing and regularity over hydrological
regionalization in Southern Brazil",
journal = "Journal of Hydrologic Engineering",
year = "2019",
volume = "24",
number = "8",
pages = "e05019022",
month = "aug.",
keywords = "Regional flood frequency analysis, Seasonality index,
Heterogeneity and discordancy measures, Cluster analysis, Fuzzy
c-means, Rio Grande do Sul State.",
abstract = "Extreme floods are often devastating, directly affecting millions
of people worldwide. Because of the lack of infrastructure and
proper hydrological monitoring, flood-related hazards in
developing countries are magnified. Therefore, regionalization
approaches associated with flood indices stand out for allowing
reliable design flood estimates and enabling the identification of
their driving mechanisms. In this context, the present study aims
to evaluate flood timing and regularity using directional
statistics for hydrological regionalization. A robust
methodological framework was proposed combining fuzzy logic
algorithms and the seasonality index, considering maximum annual
streamflow data for Southern Brazil. It was found that major
floods take place between midwinter and early spring with no
well-defined spatial pattern; however, a significant decrease in
their regularity was observed westward. Based on these
characteristics, two clustering scenarios were proposed. According
to the heterogeneity measure, hydrologically homogeneous regions
were formed for the entire study area, except for the mountainous
region in the northeast. Four main flood-driving mechanisms were
identified: frontal systems, maritime air masses, consecutive
rainfall days, and antecedent soil moisture.",
doi = "10.1061/(ASCE)HE.1943-5584.0001815",
url = "http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0001815",
issn = "1084-0699",
language = "en",
targetfile = "(ASCE)HE.1943-5584.0001815.pdf",
urlaccessdate = "28 abr. 2024"
}