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An operational dynamical neuro-forecasting model for hydrological disasters
(Springer, 2016-06-01)
In the last decades, artificial neural network has been increasingly applied in hydrological modeling given its potential to process the complex nonlinear relationships of the associated physical-environmental variables ...
Applicability of the LASH model for hydrological simulation of the Grande River Basin, Brazil
(American Society of Civil Engineers, 2017)
Subjective modeling decisions can significantly impact the simulation of flood and drought events
(Elsevier B.V., 2019)
© 2018 The Author(s)It is generally acknowledged in the environmental sciences that the choice of a computational model impacts the research results. In this study of a flood and drought event in the Swiss Thur basin, we ...
Calibration and validation of the swat hydrological model for the mucuri river basin
(Engenharia Agrícola, 2019)
A GIS-based urban and peri-urban landscape representation toolbox for hydrological distributed modeling
(Elsevier, 2017)
Flowpaths are significantly affected by land use change and engineered elements across urban catchments.
Conventional GIS-based tools for extracting drainage networks were not developed for urban
terrains. This work ...
Modeling Water Yield: Assessing the Role of Site and Region-Specific Attributes in Determining Model Performance of the InVEST Seasonal Water Yield Model
(MDPI, 2018-10-23)
Simple hydrological models, such as the Seasonal Water Yield Model developed by the Natural Capital Project (InVEST SWYM), are attractive as data requirements are relatively easy to satisfy. However, simple models may ...