eprintid: 8654 rev_number: 8 eprint_status: archive userid: 2 dir: disk0/00/00/86/54 datestamp: 2023-09-05 23:30:14 lastmod: 2023-09-05 23:30:15 status_changed: 2023-09-05 23:30:14 type: article metadata_visibility: show creators_name: Khan, Saad Mazhar creators_name: Shafi, Imran creators_name: Butt, Wasi Haider creators_name: Díez, Isabel de la Torre creators_name: López Flores, Miguel Ángel creators_name: Castanedo Galán, Juan creators_name: Ashraf, Imran creators_id: creators_id: creators_id: creators_id: creators_id: miguelangel.lopez@uneatlantico.es creators_id: juan.castanedo@uneatlantico.es creators_id: title: Model Driven Approach for Efficient Flood Disaster Management with Meta Model Support ispublished: pub subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: uninimx_produccion_cientifica divisions: uninipr_produccion_cientifica divisions: unic_produccion_cientifica full_text_status: public 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. date: 2023 publication: Land volume: 12 number: 8 pagerange: 1538 id_number: doi:10.3390/land12081538 refereed: TRUE issn: 2073-445X official_url: http://doi.org/10.3390/land12081538 access: open language: en citation: Artículo Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Universidad Internacional Iberoamericana Puerto Rico > Investigación > Producción Científica Universidad Internacional do Cuanza > Investigación > Producción Científica Abierto Inglés 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. metadata Khan, Saad Mazhar; Shafi, Imran; Butt, Wasi Haider; Díez, Isabel de la Torre; López Flores, Miguel Ángel; Castanedo Galán, Juan y Ashraf, Imran mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, miguelangel.lopez@uneatlantico.es, juan.castanedo@uneatlantico.es, SIN ESPECIFICAR (2023) Model Driven Approach for Efficient Flood Disaster Management with Meta Model Support. Land, 12 (8). p. 1538. ISSN 2073-445X document_url: http://repositorio.uneatlantico.es/id/eprint/8654/1/land-12-01538.pdf