Predicting Rainfall by Fuzzy Logic

Abstract

Water is vital to all living things; water is life. According to the UNDP water scarcity affects more than two billion people and it is projected to rise as temperatures do due to climate change. The chapter presents some preliminary results of rainfall prediction for the case of Mexico City by considering two input variables, temperature (T) and wind speed (WS). A fuzzy logic rule-based approach was employed in the analysis. The presented fuzzy logic model has the potential not only to predict rainfall but also drought. Moreover, it has also been highlighted that it becomes necessary to address droughts by designing and implementing drought disaster management systems to mitigate the impact of such events. Therefore, rainfall prediction, as an early warning, plays a key role in designing measures to achieve this. More generally, it is hoped that approaches such as the presented herein may contribute to a better understanding and management of water to mitigate the impacts of droughts in regions, cities, communities prone to the hazard.