4.7 Article

Modelling urban floods using a finite element staggered scheme with an anisotropic dual porosity model

Journal

JOURNAL OF HYDROLOGY
Volume 568, Issue -, Pages 247-259

Publisher

ELSEVIER
DOI: 10.1016/j.jhydrol.2018.10.055

Keywords

Urban flooding; Anisotropic porosity model; Shallow flow; Large-scale inundation models; Mesh independence; Subgrid model

Ask authors/readers for more resources

In porosity models for urban flooding, artificial porosity is used as a statistical descriptor of the urban medium. Buildings are treated as subgrid-scale features and, even with the use of relatively coarse grids, their effects on the flow are accounted for. Porosity models are attractive for large-scale applications due to limited computational demand with respect to solving the classical Shallow Water Equations on high-resolution grids. In the last decade, effective schemes have been developed that allowed accounting for a wealth of sub-grid processes; unfortunately, they are known to suffer from oversensitivity to mesh design in the case of anisotropic porosity fields, which are typical of urban layouts. In the present study, a dual porosity approach is implemented into a two-dimensional Finite Element numerical scheme that uses a staggered unstructured mesh. The presence of buildings is modelled using an isotropic porosity in the continuity equation, to account for the reduced water storage, and a tensor formulation for conveyance porosity in the momentum equations, to account for anisotropy and effective flow velocity. The element-by-element definition of porosities, and the use of a staggered grid in which triangular cells convey fluxes and continuity is balanced at grid nodes, allow avoiding undesired mesh-dependency. Tested against refined numerical solutions and data from a laboratory experiment, the model provided satisfactory results. Model limitations are discussed in view of applications to more complex, real urban layouts.

Authors

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

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Civil

Multiple states in the flow through a sluice gate

Daniele P. Viero, Andrea Defina

JOURNAL OF HYDRAULIC RESEARCH (2019)

Article Environmental Sciences

Remote Sensing for Optimal Estimation of Water Temperature Dynamics in Shallow Tidal Environments

Mattia Pivato, Luca Carniello, Daniele Pietro Viero, Chiara Soranzo, Andrea Defina, Sonia Silvestri

REMOTE SENSING (2020)

Article Environmental Sciences

Multipurpose Use of Artificial Channel Networks for Flood Risk Reduction: The Case of the Waterway Padova-Venice (Italy)

Riccardo Alvise Mel, Daniele Pietro Viero, Luca Carniello, Luigi D'Alpaos

WATER (2020)

Article Water Resources

Optimal floodgate operation for river flood management: The case study of Padova (Italy)

Riccardo A. Mel, Daniele P. Viero, Luca Carniello, Luigi D'Alpaos

JOURNAL OF HYDROLOGY-REGIONAL STUDIES (2020)

Article Marine & Freshwater Biology

The first operations of Mo.SE system to prevent the flooding of Venice: Insights on the hydrodynamics of a regulated lagoon

Riccardo A. Mel, Daniele P. Viero, Luca Carniello, Andrea Defina, Luigi D'Alpaos

Summary: The closure of the Venice Lagoon in October 2020 for the first time in history due to the Mo.S.E. system's operation not only prevented flooding but also led to unprecedented hydrodynamic scenarios. The closure facilitated a better understanding of wind effects on tide propagation, as well as the evaluation of gate operations' impact on seaward disturbance and infiltration into the lagoon.

ESTUARINE COASTAL AND SHELF SCIENCE (2021)

Article Engineering, Civil

Flood damage functions based on a single physics- and data-based impact parameter that jointly accounts for water depth and velocity

Tommaso Lazzarin, Daniele P. Viero, Daniela Molinari, Francesco Ballio, Andrea Defina

Summary: In this paper, a physics-based method for assessing flood damage is proposed. A non-dimensional impact parameter is introduced to combine water depth and flow velocity, which allows for evaluating relative damage functions for items of different nature. This method provides an understandable assessment of flood hazard even with limited data.

JOURNAL OF HYDROLOGY (2022)

Article Multidisciplinary Sciences

Loss of geomorphic diversity in shallow tidal embayments promoted by storm-surge barriers

Davide Tognin, Alvise Finotello, Andrea D'Alpaos, Daniele P. Viero, Mattia Pivato, Riccardo A. Mel, Andrea Defina, Enrico Bertuzzo, Marco Marani, Luca Carniello

Summary: Coastal flooding prevention measures, such as storm-surge barriers, are widely adopted globally due to rising sea levels. However, their effects on shallow tidal embayment morphodynamics are poorly understood. Field data and modeling results from the microtidal Venice Lagoon reveal that artificial reduction of water levels leads to increased sediment resuspension and decreased salt marsh accretion.

SCIENCE ADVANCES (2022)

Article Water Resources

Curvature-induced secondary flow in 2D depth-averaged hydro-morphodynamic models: An assessment of different approaches and key factors

Tommaso Lazzarin, Daniele P. Viero

Summary: In this study, helical flow secondary currents are included in a two-dimensional depth-averaged hydro-morphodynamic model to analyze the flow field and bed evolution near bends. Different methods are compared in terms of their impact on the flow field and bed evolution using data from laboratory experiments and real-world case studies. The study also discusses key factors in secondary flow modeling, such as implementation tricks and mesh design guidelines.

ADVANCES IN WATER RESOURCES (2023)

Article Geosciences, Multidisciplinary

How Is Time Distributed in a River Meander Belt?

A. Ielpi, D. P. Viero, M. G. A. Lapotre, A. Graham, M. Ghinassi, A. Finotello

Summary: River meandering controls the age of floodplains through the formation of oxbows, while the spacing and timescales of bend evolution and abandonment can be used to constrain the distribution of floodplain ages and sediment-storage time. This approach applies to both natural and simulated rivers, suggesting its potential applicability to unconfined meandering rivers in other locations. However, further testing with independent geo- or dendrochronological data is required.

GEOPHYSICAL RESEARCH LETTERS (2023)

Article Engineering, Civil

A new framework for flood damage assessment considering the within-event time evolution of hazard, exposure, and vulnerability

Tommaso Lazzarin, Daniele P. Viero, Daniela Molinari, Francesco Ballio, Andrea Defina

Summary: Commonly adopted procedures for flood damage assessment have limitations in describing the time evolution of hazard and exposure during the flood event. This study proposes a new framework that considers how flood damage evolves in time, showing potential for flood risk assessment and management.

JOURNAL OF HYDROLOGY (2022)

Article Mechanics

Flow under vertical sluice gates: Flow stability at large gate opening and disambiguation of partial dam-break multiple solutions

Tommaso Lazzarin, Daniele Pietro Viero, Andrea Defina, Luca Cozzolino

Summary: The present paper focuses on two unresolved issues in the free orifice flow under vertical sluice gates: flow stability at large gate openings and the determination of multiple solutions in the case of partial dam-break. Through laboratory experiments and numerical simulations, utilizing a computational fluid dynamics model with the volume of fluid method, these interconnected problems are investigated. A series of quasi-steady states is utilized to determine the threshold of relative gate openings for the transition from orifice flow to non-interacting flow. Furthermore, dam-break experiments with partial gate opening are conducted to establish reliable criteria for disambiguating multiple exact solutions provided by the one-dimensional shallow water theory.

PHYSICS OF FLUIDS (2023)

Article Mechanics

Supercritical flow overpassing forward- or backward-facing steps non-orthogonal to the flow direction

Daniele Pietro Viero, Tommaso Lazzarin, Paolo Peruzzo, Andrea Defina

Summary: The study proposes and discusses a theoretical approach to predict the behavior of open-channel supercritical flow passing over a non-orthogonal step. A sequence of oblique shock waves and expansion fans is generated near and downstream of the step. The proposed model is validated by comparing with a numerical model. Applications include using oblique steps and abrupt wall deflections to control wave fronts in channel bends. Special attention is given to the transition from supercritical to subcritical flow over a forward-facing step, which exhibits complex solutions and hysteresis effects. The theoretical and numerical models determine the existence and hysteresis domains of different flow configurations.

PHYSICS OF FLUIDS (2023)

Article Environmental Sciences

Influence of Bed Roughness on Flow and Turbulence Structure Around a Partially-Buried, Isolated Freshwater Mussel

T. Lazzarin, G. Constantinescu, L. Di Micco, H. Wu, F. Lavignani, M. Lo Brutto, D. Termini, D. P. Viero

Summary: The present study investigates the impact of bed roughness on flow and turbulence structure around an isolated, partially-buried mussel. The results show that increasing bed roughness amplifies turbulence kinetic energy in the near-wake region and weakens the strength of the main downwelling flow.

WATER RESOURCES RESEARCH (2023)

Article Geosciences, Multidisciplinary

Assessing 40 Years of Flood Risk Evolution at the Micro-Scale Using an Innovative Modeling Approach: The Effects of Urbanization and Land Planning

Tommaso Lazzarin, Andrea Defina, Daniele Pietro Viero

Summary: The present work aims to assess the change in flood risk over time due to landscape modifications. The town of San Dona di Piave (Italy) is used as a case study, as it has experienced significant urbanization and anthropization in recent decades, similar to other floodplains in Northern Italy. Flood damage to residential buildings is used as a proxy for flood risk. The analysis is conducted at a local scale, considering changes to individual buildings, and utilizes GIS data such as high-resolution topography, technical maps, and aerial images to track the evolution of the landscape in terms of urbanized areas and hydraulic structures. A physics-based hydrodynamic model is used to determine flood hazard, while an innovative method is employed to estimate the expected flood damage to residential buildings. The findings demonstrate the detrimental effect of urbanization on flood risk, with the risk increasing in proportion to the extent of urbanized areas. The study also highlights the time evolution of flood damage within individual flood events, reflecting changes in the flooding process. Overall, this research offers a promising technique for analyzing the effects of past landscape changes on flood risk, and provides a valuable tool for informed and sustainable land planning.

GEOSCIENCES (2023)

Article Engineering, Civil

Reconstructing high-resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin

Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani

Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Hydrological modelling of large-scale karst-dominated basin using a grid-based distributed karst hydrological model

Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen

Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction

Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao

Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Uncertainty separation of drought projection in the 21st century using SMILEs and CMIP6

Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan

Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Quantifying the natural flood management potential of leaky dams in upland catchments, Part II: Leaky dam impacts on flood peak magnitude

Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown

Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Forecasting and optimization for minimizing combined sewer overflows using Machine learning frameworks and its inversion techniques

Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu

Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Characterizing nitrogen dynamics and their response to sediment dredging in a lowland rural river

Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao

Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Using a two-step downscaling method to assess the impact of climate change on total nitrogen load in a small basin

Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang

Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Permafrost on the Tibetan Plateau is degrading: Historical and projected trends

Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu

Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Quantifying precipitation moisture contributed by different atmospheric circulations across the Tibetan Plateau

Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu

Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

A methodology to improve the accuracy of Total phosphorous diffuse load estimates from agroforestry watersheds

Manuel Almeida, Antonio Rodrigues, Pedro Coelho

Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Prediction of dissolved organic nitrogen via spectroscopic fingerprint in the shallow riverbed sediments of effluent-dominated rivers: A case study in Xi'an, northwest China

Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang

Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Uncertainty analysis of 100-year flood maps under climate change scenarios

Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal

Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Hydrological consequences of controlled drainage with subirrigation

Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus

Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Understanding the global success criteria for managed aquifer recharge schemes

Constantin Seidl, Sarah Ann Wheeler, Declan Page

Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.

JOURNAL OF HYDROLOGY (2024)