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.

EL MABROUK Marouane, “Towards a Real Time Distributed Flood Early Warning System” International Journal of Advanced Computer Science and Applications(IJACSA), 12(1), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120162

@article{Marouane2021,
title = {Towards a Real Time Distributed Flood Early Warning System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120162},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120162},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {1},
author = {EL MABROUK Marouane}
}