In this paper we present several models of tsunami waves and tornado. We study shallow water waves. Two-component Camassa-Holm type system which admits peaked traveling waves is considered. Then we study two- dimensional Kuramoto-Tsuzuki equation as a model of tornado. Cellular Neural Network (CNN) approach is applied in order to study the structure of the traveling waves. Numerical simulations of the CNN models in both -tsunami and tornado models are presented.

Modeling of Natural Disaster via Cellular Neural Networks Approach / Angela Slavova; Pietro Zecca; Maya Markova. - In: INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCES. - ISSN 0976-4402. - STAMPA. - (2013), pp. 16-26.

Modeling of Natural Disaster via Cellular Neural Networks Approach

ZECCA, PIETRO;
2013

Abstract

In this paper we present several models of tsunami waves and tornado. We study shallow water waves. Two-component Camassa-Holm type system which admits peaked traveling waves is considered. Then we study two- dimensional Kuramoto-Tsuzuki equation as a model of tornado. Cellular Neural Network (CNN) approach is applied in order to study the structure of the traveling waves. Numerical simulations of the CNN models in both -tsunami and tornado models are presented.
2013
16
26
Angela Slavova; Pietro Zecca; Maya Markova
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/831112
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