Abstract:

The issue of predicting environmental disasters is one of the very important issues at the present time, as the amount of material and intellectual expenditure on this issue is very large. Most of the research centers and universities in the world study environmental phenomena and how to analyze them and convert the results of the analysis into a digital form to obtain in the end the largest possible amount of data derived from the disaster, and then apply artificial intelligence algorithms to predict them and avoid their damage as much as possible, and this is still a topic of research among the analysis of For both the disaster and the development of the applied algorithm to reach the highest accuracy of these readings and results.

In this research, we will review some of the systems that were used (SRS-WR-TBRGS)- and we will focus on the SRS system and find the mathematical model that expresses this system that analyzes the environmental disaster such as floods and through it we know the abundance of rain and take the necessary precautions to prevent the occurrence of damage, and we will also study the analysis system Earthquakes, which explains a model for predicting earthquakes, and we conclude from this analysis that the data we obtain through these systems can give a prediction of the disaster and avoid damage as well.At the end of the research, we will review how the most important artificial intelligence algorithms can use the results of the previous analysis to give a more accurate model.

Keywords: Prediction, Earthquakes, Floods, Artificial Intelligence Algorithms, Deep Learning, Disaster Analysis