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Community-Oriented Data Integration and Communication Framework for Streamflow Forecast Models and Flood Inundation Map Products
Journal article   Peer reviewed

Community-Oriented Data Integration and Communication Framework for Streamflow Forecast Models and Flood Inundation Map Products

Kento Sugiyama, Carlos Erazo Ramirez and Ibrahim Demir
Environmental modelling & software : with environment data news, Vol.203, 107036
08/2026
DOI: 10.1016/j.envsoft.2026.107036

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Abstract

Access to critical flood risk information is often constrained by expert-driven workflows that require specialized software, creating barriers to stakeholder engagement and effective science communication. This study presents a generalized web-based framework that integrates federal datasets to support real-time and scenario-based flood forecasting and mapping across the continental United States. Using client-side technologies including WebAssembly, Web Workers, and IndexedDB, we developed an on-demand geoprocessing framework that generates flood inundation maps directly in the browser. Flood maps can be generated from National Water Model forecast outputs and Office of Water Prediction Flood Inundation Mapping products. The framework also applies FEMA Hazus damage assessment methods to property data from the National Structure Inventory. A case study of the 2019 Midwestern floods shows the platform’s practical value for emergency managers, planners, and communities conducting flood risk assessments. •Browser-based framework that generates flood maps and building loss estimates.•Client-side processing removes the need for server-side computation.•National Water Model forecasts support interactive flood scenarios.•Hazus-based damage assessments computed for localized affected structures.•HAND-based flood extents using the OWP HAND-FIM framework.
 damage estimation flood forecasting flood maps real-time mapping web framework

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