Model Driven Approach for Efficient Flood Disaster Management with Meta Model Support

Saad Mazhar Khan, Imran Shafi, Wasi Haider Butt, Isabel de la Torre Díez (), Miguel Angel López Flores, Juan Castañedo Galvlán and Imran Ashraf ()
Additional contact information
Saad Mazhar Khan: College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan
Imran Shafi: College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan
Wasi Haider Butt: College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan
Isabel de la Torre Díez: Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Paseo de Belén 15, 47011 Valladolid, Spain
Miguel Angel López Flores: Research Group on Foods, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain
Juan Castañedo Galvlán: Research Group on Foods, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain
Imran Ashraf: Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea

Land, 2023, vol. 12, issue 8, 1-27

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.

Keywords: floods; disaster management system; natural disaster management system; model-driven approach (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:8:p:1538-:d:1209658

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