@Article{SoaresCaSiNoCaBa:2020:PaStHy,
author = "Soares, Laura Melo Vieira and Calijuri, Maria do Carmo and Silva,
Talita Fernanda das Gra{\c{c}}as and Novo, Evlyn M{\'a}rcia
Le{\~a}o de Moraes and Cairo, Carolline Tressmann and Barbosa,
Cl{\'a}udio Clemente Faria",
affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade de
S{\~a}o Paulo (USP)} and {Universidade Federal de Minas Gerais
(UFMG)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "A parameterization strategy for hydrodynamic modelling of a
cascade of poorly monitored reservoirs in Brazil",
journal = "Environmental Modelling and Software",
year = "2020",
volume = "134",
pages = "e104803",
month = "Dec.",
abstract = "The scarcity of long time-series of water temperature for tropical
reservoirs, usually available at a low frequency of measurements,
represents a serious constraint for the understanding of their
thermal behavior. Hydrodynamic models become a powerful tool for
that understanding through a qualitative approach. In this study,
the one-dimensional General Lake Model (GLM) was applied to
hindcast multiannual temperature profiles of a cascade system of
six reservoirs located in southeast Brazil over a period of eight
years. The model parameters were calibrated and validated by field
data for four reservoirs. To overcome the challenge of exploring
hydrodynamics in two reservoirs with a lack of measured
temperatures, a parameterization strategy was applied to
accomplish a better simulation by the estimation of potential
sensitive parameters through regression curves. It is expected
that this approach can be extended to other tropical reservoirs
whenever field data is not available for the calibration
procedure.",
doi = "10.1016/j.envsoft.2020.104803",
url = "http://dx.doi.org/10.1016/j.envsoft.2020.104803",
issn = "1364-8152",
language = "en",
targetfile = "soares_parameterization.pdf",
urlaccessdate = "27 abr. 2024"
}