In the face of growing flood risks, decentralized adaptation measures like detention storage, enhanced infiltration, and floodplain reconnection have the potential to mitigate flood impacts at the river basin scale. However, optimal spatial allocation of flood control measures is complicated by the high dimensionality of hydrologic systems and the sensitivity of proposed strategies to climate uncertainty. To overcome these challenges, we propose a diagnostic framework that combines reduced-order data-driven modeling with optimal control to directly estimate reach-level attenuation targets without the need for iterative simulation and optimization. First, Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition with control (DMDc) are used to create a low-rank linear surrogate model of basin rainfall-runoff dynamics. A Linear Quadratic Regulator (LQR) is then applied to compute optimal reach-scale attenuation targets that mitigate flood impacts. Applied to a large river basin under a multi-model climate ensemble, the framework successfully determines distributed attenuation strategies that reduce bankfull discharge exceedances under varying adaptation budgets. Across scenarios, marginal increases to flow attenuation are found to yield diminishing returns to flood mitigation, while higher-emission scenarios retain substantially greater residual flood volume for the same effort level. Although attenuation allocation generally scales with mean flow, we identify tributary and transitional reaches where attenuation demand is disproportionate to local hydrologic size, showing that network-level flood dynamics produce spatial priorities that cannot be recovered from reach attributes alone. Taken together, the proposed framework provides a scalable approach for flood adaptation planning that is effective for basin- to continental-scale applications under climate uncertainty.
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James Buttle Review: Bed, Banks and Beyond: River Flood Dynamics
Floods are amplified and attenuated by features and processes across spatial scales, defined here as flood dynamics. We review and synthesise these influences at the catchment, river network and reach scales as a means of integrating understanding of controls on flood dynamics and identifying key questions that arise because of differences in techniques of investigation and disciplinary emphases between spatial scales. Catchment‐scale influences include catchment area, topography, lithology, land cover, precipitation, antecedent conditions and human alterations such as changing land cover. Network‐scale influences on flood dynamics include network topology, longitudinal variations in the geometry of successive river corridor reaches, lakes and wetlands and human alterations including flow regulation and cumulative changes in channel‐floodplain connectivity in multiple reaches across a network. Reach‐scale influences on flood dynamics include water sources, river corridor geometry and connectivity and human alterations such as artificial levees, channelisation, bank stabilisation, changes to floodplain land cover and drainage, dike operation, process‐based river restoration and urban stormwater management. Our review and synthesis of relevant literature suggest that the relative importance of these multiple influences on flood dynamics varies across spatial scales. Hillslope response may dominate hydrograph characteristics in smaller catchments, for example, whereas network geometry and flow dynamics exert progressively stronger influences on flood dynamics with increasing catchment size. Scale‐specific advances in understanding flood dynamics, including rainfall‐runoff analyses of water movements from uplands into channel networks (catchment‐scale), analyses of flow dynamics along networks of multiple channel reaches (network‐scale) and investigations of biophysical feedbacks and the influences of river corridor geometry and hydraulic roughness (reach‐scale), have largely contributed to understanding flood dynamics, but there remain important disconnects between these diverse bodies of research and outstanding questions related to the cumulative effects on flood dynamics across scales.
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- Award ID(s):
- 2142761
- PAR ID:
- 10595298
- Publisher / Repository:
- Hydrological Processes
- Date Published:
- Journal Name:
- Hydrological Processes
- Volume:
- 39
- Issue:
- 4
- ISSN:
- 0885-6087
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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