Flood Inundation Mapping — Design & Simulation

Abstract — Flood Inundation Mapping

and research scholars. Flood intensity and frequency are expected to continue rising due to climate change, necessitating improved prevention measures. Despite the growing body of research, communities and economies remain severely affected by the consequences of floods, underscoring the need to examine how flood models are understood and translated into disaster preparedness and mitigation strategies. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR), a total of 824 articles published between 1980 and March 2026 were selected from the Web modelling, geospatial analysis, multi-criteria decision analysis (MCDA), and artificial intelligence (AI), and explores how heuristic and metaheuristic approaches couple flood management and analysis. An exponential increase in the adoption of AI and MCDA was identified, driving an exponential increase in flood susceptibility and flood risk mapping across the reviewed literature. This review indicates that modern technologies play a decisive role in advancing flood applications; however, key methodological limitations persist. These limitations include a limited integration of urban infrastructure, stormwater drainage, and groundwater variability into flood prediction and assessment. A lack of coherent methodologies connecting discharge, surface runoff, urban flash floods, and prevention measures remains a significant gap. The translation of rainfall-runoff and discharge prediction into flood analysis is an ongoing challenge. Future research should therefore prioritise integrating runoff potential, discharge modelling, surface water drainage, and groundwater variability into flood applications. A decentralised methodological approach is recommended to empower state and local governments to implement adaptive, context-specific flood solutions, thereby enhancing early warning systems, urban planning, and emergency response. Furthermore, this review surfaces critical questions warranting focused investigation by global research communities: (i) relative importance of surface runoff as a flood-generating mechanism across different hydrological settings, and it weighting in flood susceptibility and risk mapping; (ii) hydrological distinctions and predictive possibilities between rainfall-runoff and observed streamflow modelling, and under what conditions do they best explain observed flooding, and (iii) do runoff calibration reliably explain flood extents and severity in urban settings and what methodological framework can make this operationally viable in data scarce environment?. Addressing these questions can advance the integration of hydrological processes and practical flood prediction and management.

Analytical & Numerical Modeling Methodology

Climate change has intensified extreme weather events (EWEs) such as heat waves, droughts, floods, cyclones, and wildfires ( IPCC, 2014 , 2023 ). Among these EWEs, flooding is one of the most destructive EWEs, resulting in severe loss of life, economic damage and destruction of infrastructure, both direct and indirect ( Kumar R. et al., 2023 ). Flooding is considered a meteorological component ( Wedajo et al., 2024 ) because of excessive precipitation and river discharge ( Munyai et al., 2021 ). Flooding is extensively characterised by a high runoff or excessive water levels more than what a catchment can contain, with its intensity and frequency expected to rise under the influence of climate change, population growth, and urban development ( Ding et al., 2024 ). Climate change increases the frequency of heavy rainfall, which can lead to flooding ( Munyai et al., 2021 ), where unmonitored floods can harm the ecosystem, infrastructure and population ( Lapietra et al., 2024 ) and can adversely cause water pollution ( Wedajo et al., 2024 ).

Finite Element Results & Code Compliance

Floods have a profound impact on both the economy and public health. The economic impact of floods includes the destruction of infrastructure and buildings, the failure of powerlines, and the interruption of the transportation of goods and services. The health impact includes drinking contaminated water; industrial and hazardous waste exposure; injuries and trauma caused by destruction of the buildings, falling trees, falling powerlines and debris ( Agonafir et al., 2023 ). In addition, the impact of flooding can be both direct and indirect. Where indirect impact accounts for the interruption of transportation of services from one point of the market to another across the directly affected region ( Kumar R. et al., 2023 ). Most economic impacts can last for several years after an event, including business interruption and reduced tourism. Among other impacts, flooding can be linked to other natural calamities such as landslides, mudflows, and soil loss ( Grab and Nash, 2023 ).

Scope & Practical Applications

• High-rise building and spatial frame analysis under seismic & wind loading
• Finite element continuum modeling in ABAQUS for non-linear material plasticity
• Classical lamination theory (CLT) and failure prediction for composite structures
• Spatial hazard mapping, landslide susceptibility, and catchment terrain analysis in QGIS
• Detailed bar bending schedules (BBS), structural drawings, and calculation booklets