Prevention of disasters supported on the internet of things and early warning systems

Abstract

Climate change has brought with it the increased risk of occurrence of natural disasters that generate a high economic and social detriment and even the loss of human lives, for this reason in the last decades governments have been worried with finding more efficient ways to prevent or mitigate the impact of natural disasters can cause, in this way early warning systems emerge. This work exposes the evolution and concepts related to Early Warning Systems (EWS) and also develops analysis about the SAT implemented to prevent the three most common types of natural disasters: floods, earthquakes and epidemics. Therefore, the future trend of these EWS is also analyzed.