3 results for “Flood Hazard Model”

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Research ArticleOpen accessEvery word in the titleIntegrated Modeling for Flood Hazard Mapping Using Watershed Modeling SystemSeyedeh S. Sadrolashrafi, Thamer A. Mohamed, Ahmad R.B. Mahmud et al.In this stduy, a new framework which integrates the Geographic Information System (GIS) with the Watershed Modeling System (WMS) for flood modeling is developed. It also interconnects the terrain models and the GIS software, with commercial standard hydrological and hydraulic models, including HEC-1, HEC-RAS, etc. The Dez River Basin (about 16213 km2) in Khuzestan province, IRAN, is domain of study … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 2 · 30 Jun 2008 · 10,792 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsAn Integrated Approach to Modelling of Flood Hazards in the Rapidly Growing City of Osogbo, Osun State, NigeriaSuleiman Abdul-Azeez Adegboyega, Oluchi Christiana Onuoha, Komolafe Akinola Adesuji et al.In recent times, the swift and uncoordinated urban expansion in the medium sized city of Osogbo has increasingly encroached on the environmental sensitive areas. This uncoordinated exploitation of the ecological fragile areas for urban development has triggered urban flooding, which poses serious threat to human lives and properties in the city. This study therefore utilized geospatial technologies to generate flood … …Space Science International, Vol. 4, Issue 1 · 8 Jan 2018 · 13,829 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,036 accessesView PDF Cite