@article{uninimx8654,
         journal = {Land},
            year = {2023},
           pages = {1538},
           title = {Model Driven Approach for Efficient Flood Disaster Management with Meta Model Support},
          number = {8},
          volume = {12},
          author = {Saad Mazhar Khan and Imran Shafi and Wasi Haider Butt and Isabel de la Torre D{\'i}ez and Miguel {\'A}ngel L{\'o}pez Flores and Juan Castanedo Gal{\'a}n and Imran Ashraf},
        keywords = {floods; disaster management system; natural disaster management system; model-driven approach},
        abstract = {Society and the environment are severely impacted by catastrophic events, specifically floods. Inadequate emergency preparedness and response are frequently the result of the absence of a comprehensive plan for flood management. This article proposes a novel flood disaster management (FDM) system using the full lifecycle disaster event model (FLCNDEM), an abstract model based on the function super object. The proposed FDM system integrates data from existing flood protocols, languages, and patterns and analyzes viewing requests at various phases of an event to enhance preparedness and response. The construction of a task library and knowledge base to initialize FLCNDEM results in FLCDEM flooding response. The proposed FDM system improves the emergency response by offering a comprehensive framework for flood management, including pre-disaster planning, real-time monitoring, and post-disaster evaluation. The proposed system can be modified to accommodate various flood scenarios and enhance global flood management.},
             url = {http://repositorio.unini.edu.mx/id/eprint/8654/}
}