@Article{CurtarelliLećOgaLorSte:2015:AsSpIn,
author = "Curtarelli, Marcelo Pedroso and Le{\~a}o, Joaquim Ant{\^o}nio
Dion{\'{\i}}sio and Ogashawara, Igor and Lorenzzetti, Jo{\~a}o
Ant{\^o}nio and Stech, Jos{\'e} Luiz",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Assessment of Spatial Interpolation Methods to Map the Bathymetry
of an Amazonian Hydroelectric Reservoir to Aid in Decision Making
for Water Management",
journal = "ISPRS International Journal of Geo-Information",
year = "2015",
volume = "4",
pages = "220--235",
keywords = "mapping, reservoir, environmental assessment, environmental
management.",
abstract = "The generation of reliable information for improving the
understanding of hydroelectric reservoir dynamics is fundamental
for guiding decision-makers to implement best management
practices. In this way, we assessed the performance of different
interpolation algorithms to map the bathymetry of the
Tucuru{\'{\i}} hydroelectric reservoir, located in the Brazilian
Amazon, as an aid to manage and operate Amazonian reservoirs. We
evaluated three different deterministic and one geostatistical
algorithms. The performance of the algorithms was assessed through
cross-validation and Monte Carlo Simulation. Finally, operational
information was derived from the bathymetric grid with the best
performance. The results showed that all interpolation methods
were able to map important bathymetric features. The best
performance was obtained with the geostatistical method (RMSE =
0.92 m). The information derived from the bathymetric map (e.g.,
the level-area and level-volume diagram and the three-dimensional
grid) will allow for optimization of operational monitoring of the
Tucuru{\'{\i}} hydroelectric reservoir as well as the
development of three-dimensional modeling studies.",
doi = "10.3390/ijgi4010220",
url = "http://dx.doi.org/10.3390/ijgi4010220",
issn = "2220-9964",
language = "en",
targetfile = "curtarelli_assessment.pdf",
urlaccessdate = "27 abr. 2024"
}