Abstract
Since the beginning of humanity, floods have caused a lot of damages and have killed many people. So far, floods are causing a lot of losses and damage in many countries every year. When facing such a disaster, effective decisions regarding flood management must be made using real-time data, which must be analyzed and, more importantly, controlled. In this paper, we present a distributed decision support system that can be deployed to support flood management decision makers. Our system is based on Multi-Agent Systems and Anytime Algorithm, and it has two modes of processing: a Pre-Processing mode to test and control the information sent by sensors in real-time and the Main Processing mode, which has three different parts. The first part is the Trigger Mode for monitoring rainfall and triggering the second part, the offline mode, which predicts the flood based on historical data without going through the real-time decision support system. Finally, the online mode predicts the flood based on real-time data and on a combination of communications among different modules, hydrodynamic data, Geographic Information System (GIS), decision support and a remote sensing module to determine information about the flood.
Highlights
IntroductionA source of life and, energy, reveals to man his image
Water, a source of life and, energy, reveals to man his image
We proposed an expert system based on multi-agent systems and Anytime Algorithms for real-time flood forecasting and warning
Summary
A source of life and, energy, reveals to man his image. When he contemplates, prostrated on the shore of a lake or favorite ocean, a man draws happiness and peace; floods are aquatic phenomena that man respects and of which he is afraid. Occurring as a result of heavy rainfall, which is occasionally regular, lasting, intense and violent, floods leave behind desolation, misery and destruction [1]. Based on a report published by the United Nations, floods are considered one of the most damaging natural disasters in the world. The number of people affected and the economic damages resulting from floods are increasing [2]. Floods are responsible for one-third of all damages caused by natural disasters [3]
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More From: International Journal of Advanced Computer Science and Applications
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