DESIGN AND IMPLEMENTATION OF A FUZZY BASED TSUNAMI WARNING SYSTEM

Abstract

A tsunami can be referred to series of water waves initiated by the dislocation of a large quantity of water, usually in ocean or a large lake. Tsunamis obliterate not only human population but all other species. There are many factors that have potential to cause a tsunami like Earthquakes, volcanic eruptions and other underwater explosions (including explosions of underwater nuclear devices), landslides, meteorite impacts and other disturbances above or below water. With the preface of modern science and computer technology, the field of Artificial Intelligence is screening a definite efficacy in all continuum of life. There are certain ways to predict such disasters and design different kinds of early warning systems. These can be predicted on the basis of climatic conditions and several other parameters. One such concept that is working as a boom in the fields of environmental science and policy is fuzzy logic. As fuzzy logic can be widely stated as working with the vague, imprecise data and the linguistic terms. So, this methodology can be successfully applied in the field of tsunami warning as the influence of different parameters that cause tsunami is different and can be said as vague. In this work, a fuzzy system has been developed to declare the occurrence of tsunami in terms of linguistic parameters rare_tsunami, advisory_tsunami and warning by taking the tsunami characteristics earthquake magnitude, volcanic eruption index, landslide and height of waves in deep ocean. Fuzzy rule base is generated and the results are compared with an IEEE research paper.