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Ning Yu and Timothy Haskins
Regional rainfall forecasting is an important issue in hydrology and meteorology. Machine learning algorithms especially deep learning methods have emerged as a part of prediction tools for regional rainfall forecasting. This paper aims to design and imp...
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Ricardo Aguasca-Colomo, Dagoberto Castellanos-Nieves and Máximo Méndez
We present a comparative study between predictive monthly rainfall models for islands of complex orography using machine learning techniques. The models have been developed for the island of Tenerife (Canary Islands). Weather forecasting is influenced bo...
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Linus Zhang and Xiaoliu Yang
Given the substantial impacts that are expected due to climate change, it is crucial that accurate rainfall?runoff results are provided for various decision-making purposes. However, these modeling results often generate uncertainty or bias due to the im...
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Oreste Terranova, Stefano Luigi Gariano, Pasquale Iaquinta, Valeria Lupiano, Valeria Rago and Giulio Iovine
GASAKe is an empirical-hydrological model aimed at forecasting the time of occurrence of landslides. Activations can be predicted of either single landslides or sets of slope movements of the same type in a homogeneous environment. The model requires a r...
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Jung-Hun Song, Younggu Her, Jihoon Park, Kyung-Do Lee, Moon-Seong Kang
Pág. 1 - 16
Simulink, an extension of MATLAB, is a graphics-based model development environment for system modeling and simulation. Simulink?s user-friendly features, including block (data process) and arrow (data transfer) objects, a large number of existing blocks...
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