proyecto reg

Well Balanced High Order Numerical Methods for Nonlinear Hyperbolic Systems: Application to Design of Mathematical Tools for Early Warning of Natural Disasters

PI: Manuel J. Castro Díazco-PI: Carlos Parés Madroñal Abstract: This project is the natural extension to three years of execution of the so-called “Well-balanced high-order numerical methods for nonlinear hyperbolic systems. Applications to the simulation of geophysical flows ”that has been requested in the recent call of the University of Malaga (ERDF operational program). The main …

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Well balanced high order numerical methods for nonlinear hyperbolic systems. Applications to the simulation of geophysical flows

PI: Manuel J. Castro Díazco-PI: Carlos Parés Madroñal Abstract: The main objective of this project is the development and improvement of numerical models that constitute useful tools in the prediction and management of catastrophes caused by geophysical flows, such as floods, tsunamis or “storm surges”. New models for these problems will be developed that incorporate non-hydrostatic …

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Mejora del sistema de alerta temprana de tsunamis en España mediante técnicas de Machine Learning

IP: Jorge Macías Sánchez Acronym: UMA-CEIATECH-05 Abstract: The objective of this project is to improve the Spanish Tsunami Early Warning System (TEWS) managed by the IGN and of which the EDANYA group is a scientific advisor, and doing so using Machine Learning techniques. Currently this system uses the Tsunami-HySEA (TH) code for the direct simulation of …

Mejora del sistema de alerta temprana de tsunamis en España mediante técnicas de Machine Learning Leer más »