@Article{MeloAlToMeMaCo:2021:SePeAn,
author = "Melo, P{\^a}mela A. and Alvarenga, Livia A. and Tomasella, Javier
and Mello, Carlos R. and Martins, Minella Alves and Coelho,
Gilberto",
affiliation = "{Universidade Federal de Lavras (UFLA)} and {Universidade Federal
de Lavras (UFLA)} and {Centro Nacional de Monitoramento e Alertas
de Desastres Naturais (CEMADEN)} and {Universidade Federal de
Lavras (UFLA)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Universidade Federal de Lavras (UFLA)}",
title = "Sensitivity and performance analyses of the distributed
hydrology–soil–vegetation model using geomorphons for landform
mapping",
journal = "Water (Switzerland)",
year = "2021",
volume = "13",
number = "15",
pages = "e2032",
month = "Aug.",
keywords = "Complex terrain, DHSVM, Fully distributed, Landscape patterns.",
abstract = "Landform classification is important for representing soil
physical properties varying continuously across the landscape and
for understanding many hydrological processes in watersheds.
Considering it, this study aims to use a geomorphology map
(Geomorphons) as an input to a physically based hydrological model
(Distributed Hydrology Soil Vegetation Model (DHSVM)) in a
mountainous headwater watershed. A sensitivity analysis of five
soil parameters was evaluated for streamflow simulation in each
Geomorphons feature. As infiltration and saturation excess
overland flow are important mechanisms for streamflow generation
in complex terrain watersheds, the models input soil parameters
were most sensitive in the slope, hollow, and valley features.
Thus, the simulated streamflow was compared with observed data for
calibration and validation. The model performance was satisfactory
and equivalent to previous simulations in the same watershed using
pedological survey and moisture zone maps. Therefore, the results
from this study indicate that a geomorphologically based map is
applicable and representative for spatially distributing
hydrological parameters in the DHSVM.",
doi = "10.3390/w13152032",
url = "http://dx.doi.org/10.3390/w13152032",
issn = "2073-4441",
language = "en",
targetfile = "Melo_sensitivity.pdf",
urlaccessdate = "12 jun. 2024"
}