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Application of Integrated Modeling Framework for Managing Downstream Flood Risk in Hydropower Dams under Inflow Uncertainty
This website uses cookies to ensure you get the best experience on our website. Learn more Skip to main content Get full access to this article View all available purchase options and get full access to this article. Data Availability Statement Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Integrating Analytical Hierarchy Process and Machine Learning for Enhancing Flood Hazard Mapping
Get full access to this article View all available purchase options and get full access to this article. Data Availability Statement The data used to support the findings of this study are available from the corresponding author upon request. Author Contributions Nikunj K. Mangukiya: Conceptualization; Data curation; Formal analysis; Methodology; Software; Visualization; Writing – original draft. Anupal Baruah: Conceptualization; Data curation; Methodology; Supervision; Writing – review and editing.
Toward Robust Evaluations of Flood Inundation Predictions Using Remote Sensing Derived Benchmark Maps
1 Introduction Model-predicted Flood Inundation Maps (FIM) are essential for flood analysis and planning (e.g., Hawker et al., 2024; Hooker et al., 2022, 2023; Jafarzadegan et al., 2021; Sanderson et al., 2023). A proliferation of FIM prediction capabilities has emerged in recent years within national and global hydrological forecasting frameworks.
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