Article
Environmental Sciences
Weitian Chen, Huan Wu, John S. Kimball, Lorenzo Alfieri, Nergui Nanding, Xiaomeng Li, Lulu Jiang, Wei Wu, Yingchun Tao, Shihu Zhao, Wenting Zhong
Summary: This paper proposes an integrated model for urban flood modeling that accurately predicts the occurrence and impacts of urban flooding. By incorporating the Storm Water Management Model (SWMM) and the Dominant river tracing-Routing Integrated with VIC Environment (DRIVE) model, the integrated model successfully simulates urban rainfall-runoff and pipe drainage processes, while considering natural river basin runoff generation and routing processes. The validity of the integrated model is confirmed through three case studies in Haikou City, China.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
Nobuki Fukui, Nobuhito Mori, Takuya Miyashita, Tomoya Shimura, Katsuichiro Goda
Summary: Numerical tsunami inundation simulations using high-resolution topographical data are crucial for accurately predicting tsunami damage at individual building levels in urban areas. However, these simulations can be computationally expensive. To address this issue, a subgrid-scale model called the individual drag force model (iDFM) has been developed. Through comparison with the structure resolving model (SRM), it is found that iDFM can efficiently simulate overall inundation characteristics, although it cannot capture local phenomena driven by structures.
COASTAL ENGINEERING
(2022)
Article
Environmental Sciences
Riku Kubota, Jin Kashiwada, Yasuo Nihei
Summary: In recent years, frequent large-scale heavy rainfall disasters have occurred in several parts of the world. A new subgrid 3D inundation model was constructed to evaluate fluid force and assess damage to individual buildings during flood inundation. The model effectively evaluates the force acting on buildings without increasing the computational load.
Article
Engineering, Civil
Lin Zhang, Huapeng Qin, Junqi Mao, Xiaoyan Cao, Guangtao Fu
Summary: This study proposes an attention mechanism-based Long Short-Term Memory (LSTM) network, named as ALSTM-DW, which uses double time sliding windows (DTSW) and a weighted mean square error (WMSE) loss function. The ALSTM-DW model was applied to three urban flooding hotspots in Shenzhen, China, and its effectiveness was verified through a series of comparative experiments. The results obtained show that the proposed model performs well and has promising potential for providing accurate flood forecasting.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Adam C. Gold, Chelsea M. Brown, Suzanne P. Thompson, Michael F. Piehler
Summary: This study estimates the inundation of stormwater infrastructure along the US Atlantic coast using high-tide flooding on roads as a proxy. The results show that a large portion of stormwater infrastructure is inundated, affecting over 2 million people and occurring frequently.
Article
Engineering, Civil
Zhouteng Ye, Fengyan Shi, Xizeng Zhao, Zijun Hu, Matt Malej
Summary: The study developed a data-driven subgrid approach to extract and accurately reflect flow characteristics at the subgrid scale from a full grid model, using the Random Forest method for data training. Compared to stochastic-based subgrid models, this approach considers more appropriate upscaling factors representing anisotropic subgrid effects.
COASTAL ENGINEERING
(2021)
Review
Geosciences, Multidisciplinary
Kaihua Guo, Mingfu Guan, Dapeng Yu
Summary: Urban flood modeling tools are in demand to predict surface water inundation caused by intense rainfall in urban areas, providing important information for scientists, engineers, and decision-makers.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Engineering, Civil
Shaoyu Shi, Bo Yang, Wensheng Jiang
Summary: This study examined the impact of compound flooding in coastal cities by coupling a one-dimensional hydrological model with a two-dimensional hydrodynamic model. The results showed that drainage systems enhance connectivity between land and sea, leading to faster flooding and draining. Additionally, high storm surge levels reduce drainage efficiency during rain, causing more severe flooding hazards.
COASTAL ENGINEERING
(2022)
Article
Engineering, Civil
Xinghua Wang, Jingming Hou, Bingyao Li, Jie Chai, Jian Wang, Wenqing Zhang
Summary: Pluvial inundations in urban areas are caused by localized, heavy rainstorm events, leading to severe disaster risks in inundation-sensitive zones. This research focuses on urban underpass inundation process by analyzing different rainfall scenarios based on a high-resolution urban flood model. The results show that inundation variations are determined by rainfall intensity and runoff travel time to underpass.
WATER RESOURCES MANAGEMENT
(2022)
Article
Environmental Sciences
Miguel Angel Mejia-Morales, Emmanuel Mignot, Andre Paquier, Sebastien Proust
Summary: The increasing occurrence of urban flooding emphasizes the need for more accurate flood hazard assessment. This study focuses on understanding the hydraulic processes in urban flood flows through a laboratory experiment. The experiment simulates an urban area consisting of a city block and surrounding streets. The results show that the unsteadiness of the inflow hydrograph significantly impacts the floodwater volume stored within the city block. Increasing storage capacity leads to reduced peak outflow discharge, decreased flow depths, and increased velocities in some areas.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Chenlei Ye, Zongxue Xu, Xiaohui Lei, Rui Zhang, Qi Chu, Peng Li, Chunguang Ban
Summary: This study simulated flooding responses to combined rainstorms and scheduling scenarios using a coupled hydrodynamics model. The results showed that certain areas in the Jin'an study area were more prone to inundation, with locations near Qinting Lake being particularly sensitive to water regulation rules.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Pingping Luo, Manting Luo, Fengyue Li, Xiaogang Qi, Aidi Huo, Zhenhong Wang, Bin He, Kaoru Takara, Daniel Nover, Yihe Wang
Summary: This study reviews urban flood numerical simulations and identifies accuracy and computational efficiency as the two key areas hindering the improvement of model quality. The 1D-2D coupling model, finite volume method, unstructured meshing method, and hybrid parallel computing applications are found to be the most effective strategies. Furthermore, the complex coupling of models and the lack of validation data remain crucial challenges in the development of urban flood modeling.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Computer Science, Interdisciplinary Applications
Hao Han, Jingming Hou, Ganggang Bai, Bingyao Li, Tian Wang, Xuan Li, Xujun Gao, Feng Su, Zhaofeng Wang, Qiuhua Liang, Jiahui Gong
Summary: This study proposed an automatic monitoring method based on deep learning for urban road inundation detection, which showed high detection accuracy and recognition ability. The experimental results demonstrated the effectiveness of the proposed method in urban flood management and provided validation data for hydrologic and hydrodynamic models.
JOURNAL OF HYDROINFORMATICS
(2021)
Article
Engineering, Civil
Xuefang Li, Sebastien Erpicum, Emmanuel Mignot, Pierre Archambeau, Michel Pirotton, Benjamin Dewals
Summary: Water-sensitive urban design plays a key role in flood risk management. Computational modelling was used to investigate the impact of various urban forms on flooding severity, revealing the overwhelming influence of conveyance porosity in the main flow direction. This study also provides valuable data for validating other urban flooding models through verification against laboratory observations.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Christos Iliadis, Vassilis Glenis, Chris Kilsby
Summary: Flood risk in cities is a major threat that requires accurate representation of buildings and urban features in hydrodynamic models. This study reviews available approaches and implements two methods for representing buildings and urban features, allowing for performance comparison and discussion.
JOURNAL OF FLOOD RISK MANAGEMENT
(2023)
Article
Engineering, Civil
Daniele P. Viero, Andrea Defina
JOURNAL OF HYDRAULIC RESEARCH
(2019)
Article
Environmental Sciences
Mattia Pivato, Luca Carniello, Daniele Pietro Viero, Chiara Soranzo, Andrea Defina, Sonia Silvestri
Article
Environmental Sciences
Riccardo Alvise Mel, Daniele Pietro Viero, Luca Carniello, Luigi D'Alpaos
Article
Water Resources
Riccardo A. Mel, Daniele P. Viero, Luca Carniello, Luigi D'Alpaos
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2020)
Article
Engineering, Civil
Alessia Ferrari, Daniele P. Viero
JOURNAL OF HYDROLOGY
(2020)
Article
Marine & Freshwater Biology
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
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
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.
Article
Water Resources
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
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
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
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.
Article
Mechanics
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.
Article
Environmental Sciences
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
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.
Article
Engineering, Civil
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)