4.2 Article

Coupled 1D-Quasi-2D Flood Inundation Model with Unstructured Grids

Journal

JOURNAL OF HYDRAULIC ENGINEERING
Volume 136, Issue 8, Pages 493-506

Publisher

ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)HY.1943-7900.0000211

Keywords

Shallow water; Numerical models; Flood plains; Flood routing

Funding

  1. Commonwealth Scholarship Commission in the United Kingdom

Ask authors/readers for more resources

A simplified numerical model for simulation of floodplain inundation resulting from naturally occurring floods in rivers is presented. Flow through the river is computed by solving the de Saint Venant equations with a one-dimensional (1D) finite volume approach. Spread of excess flood water spilling overbank from the river onto the floodplains is computed using a storage cell model discretized into an unstructured triangular grid. Flow exchange between the one-dimensional river cells and the adjacent floodplain cells or that between adjoining floodplain cells is represented by diffusive-wave approximated equation. A common problem related to the stability of such coupled models is discussed and a solution by way of linearization offered. The accuracy of the computed flow depths by the proposed model is estimated with respect to those predicted by a two-dimensional (2D) finite volume model on hypothetical river-floodplain domains. Finally, the predicted extent of inundation for a flood event on a stretch of River Severn, United Kingdom, by the model is compared to those of two proven two-dimensional flow simulation models and with observed imagery of the flood extents.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Water Resources

Assessing the potential value of the regionalised input constraint indices for constraining hydrological model simulations in the Congo River Basin

Pierre M. Kabuya, Denis A. Hughes, Raphael M. Tshimanga, Mark A. Trigg, Paul Bates

Summary: The regional characteristics of a sub-basin's long-term hydrological behavior are used as constraints to improve hydrological model simulations in the Congo Basin. Implementation of an adjustment factor based on slope can improve poor results, and the percentage of simulated data falling within the uncertainty range has increased.

ADVANCES IN WATER RESOURCES (2022)

Review Mechanics

Flood Inundation Prediction

Paul D. Bates

Summary: This review examines recent progress in mapping flood risk areas by combining appropriate physics, efficient numerical algorithms, big data sources, and model automation frameworks. It discusses the fluid mechanics and models used to predict inundation, as well as the developments in the last five years that have led to the creation of the first true fluid mechanics models of flooding over the entire terrestrial land surface.

ANNUAL REVIEW OF FLUID MECHANICS (2022)

Editorial Material Green & Sustainable Science & Technology

Uneven burden of urban flooding

Paul Bates

Summary: A study shows that flooding has a disproportionate impact on disadvantaged communities and specific ethnic groups. Modelling techniques now enable the mapping of flood risk even down to the street or building level.

NATURE SUSTAINABILITY (2023)

Article Environmental Sciences

Strategic siting and design of dams minimizes impacts on seasonal floodplain inundation

Simbidzayi Hatchard, Rafael J. P. Schmitt, Francesca Pianosi, James Savage, Paul Bates

Summary: Dams and reservoirs have both positive and negative impacts on economic development. They fragment rivers and disrupt connectivity, but can also regulate discharge regimes and reduce flood impacts. Strategic planning is crucial in finding a balance between these impacts. This study presents a method to optimize the siting and design of dams in a data-scarce basin to minimize trade-offs between hydropower generation and downstream flood impacts.

ENVIRONMENTAL RESEARCH LETTERS (2023)

Article Computer Science, Interdisciplinary Applications

A shock-capturing meshless method for solving the one-dimensional Saint-Venant equations on a highly variable topography

D. Satyaprasad, Soumendra Nath Kuiry, S. Sundar

Summary: In this study, a shock-capturing meshless method is proposed for simulating one-dimensional flows with highly variable topography. The proposed method uses the HLL Riemann solver for computing the convective flux and a weighted least square approximation for spatial derivatives. The method is tested for various challenging problems and experiments, demonstrating its high accuracy.

JOURNAL OF HYDROINFORMATICS (2023)

Review Geochemistry & Geophysics

Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling

Keighobad Jafarzadegan, Hamid Moradkhani, Florian Pappenberger, Hamed Moftakhari, Paul Bates, Peyman Abbaszadeh, Reza Marsooli, Celso Ferreira, Hannah L. Cloke, Fred Ogden, Qingyun Duan

Summary: The scientific community has made significant efforts in simulating flooding conditions, but the current models still lack accuracy and reliability. It is suggested to adopt an approach that considers various factors and enhance understanding of flood generating mechanisms. Developing innovative earth system modeling frameworks and conducting rigorous studies can provide opportunities to improve flood prediction and mapping.

REVIEWS OF GEOPHYSICS (2023)

Article Environmental Sciences

A Framework for Estimating Global River Discharge From the Surface Water and Ocean Topography Satellite Mission

Michael Durand, Colin J. Gleason, Tamlin M. Pavelsky, Renato Prata de Moraes Frasson, Michael Turmon, Cedric H. David, Elizabeth H. Altenau, Nikki Tebaldi, Kevin Larnier, Jerome Monnier, Pierre Olivier Malaterre, Hind Oubanas, George H. Allen, Brian Astifan, Craig Brinkerhoff, Paul D. Bates, David Bjerklie, Stephen Coss, Robert Dudley, Luciana Fenoglio, Pierre-Andre Garambois, Augusto Getirana, Peirong Lin, Steven A. Margulis, Pascal Matte, J. Toby Minear, Aggrey Muhebwa, Ming Pan, Daniel Peters, Ryan Riggs, Md Safat Sikder, Travis Simmons, Cassie Stuurman, Jay Taneja, Angelica Tarpanelli, Kerstin Schulze, Mohammad J. Tourian, Jida Wang

Summary: The Surface Water and Ocean Topography (SWOT) mission will expand global river measurements, providing new data sets for both gaged and ungaged basins. SWOT discharge will be computed from measurements of water elevation, width, and slope, and is expected to have an accuracy of less than 30%, with systematic bias as the dominant uncertainty component.

WATER RESOURCES RESEARCH (2023)

Article Environmental Sciences

Reduction of Multi-Port Water Distribution Networks Using the Generalized Thevenin Theorem

Raman Balireddy, Anjan Chakravorty, S. Murty Bhallamudi, S. Nath Kuiry

Summary: Expansion and reorganization of water distribution networks by connecting sub-networks via single or multiple pipes are common practices in developing cities. A new network reduction methodology is developed for multi-port connections using the analogy between electrical circuits and hydraulic networks. The proposed methodology reduces the number of network elements significantly compared to existing water distribution network reduction methods. It has the potential to reorganize and expand large existing network systems and can be of great utility for hydraulic engineers.

WATER RESOURCES RESEARCH (2023)

Article Environmental Sciences

Flood Defense Standard Estimation Using Machine Learning and Its Representation in Large-Scale Flood Hazard Modeling

Gang Zhao, Paul D. D. Bates, Jeff Neal, Dai Yamazaki

Summary: We propose a machine learning-based approach to estimate the flood defense standard (FDS) for unlabeled sites. RFR performed better than MLR in characterizing the relationship between FDS and explanatory factors. RFR revealed river flood factors had higher importance and achieved the highest performance using all factors for prediction.

WATER RESOURCES RESEARCH (2023)

Article Meteorology & Atmospheric Sciences

Co-occurring wintertime flooding and extreme wind over Europe, from daily to seasonal timescales

H. C. Bloomfield, J. Hillier, A. Griffin, A. L. Kay, L. C. Shaffrey, F. Pianosi, R. James, D. Kumar, A. Champion, P. D. Bates

Summary: This study systematically investigates the correlations between wintertime extremes of wind and flooding, and finds strong positive correlations between wind gusts and precipitation, as well as between wind gusts and river flows at specific timescales. A new flood severity index (FSI) is developed to provide actionable information for insurers and other stakeholders. The study also highlights the potential impact of climate change on severe flood-wind episodes.

WEATHER AND CLIMATE EXTREMES (2023)

Article Geosciences, Multidisciplinary

An improved subgrid channel model with upwind-form artificial diffusion forriver hydrodynamics and floodplain inundation simulation

Youtong Rong, Paul Bates, Jeffrey Neal

Summary: An accurate estimation of river channel conveyance capacity and water exchange at river-floodplain interfaces is crucial for flood modeling. However, limited grid resolution in large-scale models often leads to the inability to represent small-scale river channel features effectively, resulting in instability and poor approximation of flow connectivity. To address this, a subgrid channel (SGC) model based on the local inertial form of shallow water equations has been proposed, but previous approaches lacked the latest developments in numerical solutions and suffered from numerical instability in low-friction regions. In this paper, a newly developed diffusion and explicit adaptive weighting factor are implemented in the SGC model, resulting in improved model performance, especially in urban areas with low Manning parameter.

GEOSCIENTIFIC MODEL DEVELOPMENT (2023)

Article Geosciences, Multidisciplinary

LISFLOOD-FP 8.1: new GPU-accelerated solvers for faster fluvial/pluvial flood simulations

Mohammad Kazem Sharifian, Georges Kesserwani, Alovya Ahmed Chowdhury, Jeffrey Neal, Paul Bates

Summary: This paper introduces new releases on LISFLOOD-FP 8.1 for parallel flood simulations. The parallelized ACC solver has been implemented on GPUs to improve computational efficiency and a new non-uniform grid version has been introduced. The non-uniform solver generates grids using multiresolution analysis and allows proper adaptation of land use. The GPU implementation of both uniform and non-uniform solvers shows significant speed improvements compared to the CPU predecessor.

GEOSCIENTIFIC MODEL DEVELOPMENT (2023)

Article Geosciences, Multidisciplinary

A climate-conditioned catastrophe risk model for UK flooding

Paul D. Bates, James Savage, Oliver Wing, Niall Quinn, Christopher Sampson, Jeffrey Neal, Andrew Smith

Summary: We propose a climate-conditioned catastrophe flood model for the UK, providing hazard layers for different return periods and simulating flood risks under various climate conditions. The model is validated against historical data and accurately predicts flood losses. Our findings suggest that implementing carbon emission reduction pledges can significantly mitigate future flood losses in the UK.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2023)

Article Geosciences, Multidisciplinary

Bare-earth DEM generation from ArcticDEM and its use in flood simulation

Yinxue Liu, Paul D. Bates, Jeffery C. Neal

Summary: This paper investigates the use of two morphological filters to remove surface artefacts from ArcticDEM and generate a bare-earth version of it. The results show that the simple morphological filter (SMRF) is more effective than the progressive morphological filter (PMF) in removing artefacts. This suggests that high-resolution satellite photogrammetric DEMs could be used for flood simulation in areas where lidar DTMs are not available.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2023)

Article Geosciences, Multidisciplinary

Assessing flooding impact to riverine bridges: an integrated analysis

Maria Pregnolato, Andrew O. Winter, Dakota Mascarenas, Andrew D. Sen, Paul Bates, Michael R. Motley

Summary: Flood events cause the most damage to infrastructure compared to other natural hazards, and global changes are likely to increase this damage. This study aims to establish a rigorous modeling approach for assessing the hydrodynamic forces on flooded bridges and understanding the consequences on the surrounding network. Using the case study of Carlisle in the UK, the impact of hydrodynamic forces on the performance and functionality of the transport network is discussed. This research will bridge the gap between current guidance for designing and assessing bridges in the overall transport system.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2022)

No Data Available