An Integrated Modeling Framework for Sediment Dynamics During Urban Flooding: Application to Hurricane Harvey in Houston

Abstract Floodwater can mobilize and redistribute large volumes of sediment from upland to downstream urban areas, threatening infrastructure, water quality, and ecosystem health. However, existing modeling approaches often fail to capture sediment dynamics in urban floodplains due to the lack of integration between upland hydrological processes and riverine sediment transport. This study presents the first integrated modeling framework that couples the Energy Exascale Earth System Model (E3SM) land component, which simulates runoff and hillslope erosion, with TELEMAC‐GAIA, a two‐dimensional hydrodynamic and sediment transport model. This framework enables the fully distributed, process‐based simulation of high‐resolution (as fine as 30 m) sediment dynamics from hillslopes to floodplains. Applied to a highly urbanized watershed in Houston during Hurricane Harvey, this framework reproduced observed water levels at 16 USGS gauges (median R 2 = 0.83 and KGE = 0.78), key sediment dynamics such as sediment transport and deposition processes, and reproduced spatial deposition patterns consistent with LiDAR‐derived data. Based on the simulation, we estimate 8.0 million m 3 of event‐scale sediment deposition, including 5.7 million m 3 trapped in the flood‐control reservoirs and 2.3 million m 3 deposited along major channels and floodplains. Using a representative unit removal cost, this corresponds to an estimated dredging cost of $581 million for total deposition. These results provide a first‐order, physically based quantification of Harvey‐scale sediment impacts. This study provides a valuable tool for the holistic analysis of sediment dynamics triggered by extreme urban flooding, supporting flood‐resilience planning. More broadly, it highlights the importance of integrating physically based hydrological processes for urban flooding and sediment research.

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Publication Details

Journal
Water Resources Research
Published
2026-05-01
DOI
https://doi.org/10.1029/2025wr042040
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

An Integrated Modeling Framework for Sediment Dynamics During Urban Flooding: Application to Hurricane Harvey in Houston

Lingcheng Li, Donghui Xu, Gautam Bisht, Dongyu Feng et al.
Water Resources Research
Flood Risk Assessment and Management
article

An Integrated Modeling Framework for Sediment Dynamics During Urban Flooding: Application to Hurricane Harvey in Houston

Lingcheng Li, Donghui Xu, Gautam Bisht, Dongyu Feng, Zeli Tan
article en

Abstract

Abstract Floodwater can mobilize and redistribute large volumes of sediment from upland to downstream urban areas, threatening infrastructure, water quality, and ecosystem health. However, existing modeling approaches often fail to capture sediment dynamics in urban floodplains due to the lack of integration between upland hydrological processes and riverine sediment transport. This study presents the first integrated modeling framework that couples the Energy Exascale Earth System Model (E3SM) land component, which simulates runoff and hillslope erosion, with TELEMAC‐GAIA, a two‐dimensional hydrodynamic and sediment transport model. This framework enables the fully distributed, process‐based simulation of high‐resolution (as fine as 30 m) sediment dynamics from hillslopes to floodplains. Applied to a highly urbanized watershed in Houston during Hurricane Harvey, this framework reproduced observed water levels at 16 USGS gauges (median R 2 = 0.83 and KGE = 0.78), key sediment dynamics such as sediment transport and deposition processes, and reproduced spatial deposition patterns consistent with LiDAR‐derived data. Based on the simulation, we estimate 8.0 million m 3 of event‐scale sediment deposition, including 5.7 million m 3 trapped in the flood‐control reservoirs and 2.3 million m 3 deposited along major channels and floodplains. Using a representative unit removal cost, this corresponds to an estimated dredging cost of $581 million for total deposition. These results provide a first‐order, physically based quantification of Harvey‐scale sediment impacts. This study provides a valuable tool for the holistic analysis of sediment dynamics triggered by extreme urban flooding, supporting flood‐resilience planning. More broadly, it highlights the importance of integrating physically based hydrological processes for urban flooding and sediment research.

Water Resources ResearchVol. 62(5)
Pacific Northwest National Laboratory (US)
Sustainable cities and communities
Openalex Percentile: Top 4%
Flood Risk Assessment and Management
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