Modeling of Natural Disaster via Cellular Neural Networks Approach

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.