Article
Chemistry, Analytical
Autanan Wannachai, Somrawee Aramkul, Benya Suntaranont, Yuthapong Somchit, Paskorn Champrasert
Summary: Flash floods are common natural disasters caused by excessive rainfall. The research proposes the use of HERO stations in early warning systems to improve data accuracy and adaptability to environmental changes. The network of HERO stations in Thailand has shown improved availability and increased flood preparation time for villagers.
Article
Geography, Physical
Gao Yunjian, Zhao Siyuan, Deng Jianhui, Yu Zhiqiu, Rahman Mahfuzur
Summary: Two successive landslides in Tibet caused huge flood disaster loss in 2018, highlighting the importance of flood assessment and early warning systems. The study offers a conceptual model for mitigating landslide and flood disasters in high-relief mountainous regions.
JOURNAL OF GEOGRAPHICAL SCIENCES
(2021)
Article
Engineering, Civil
Yihong Zhou, Zening Wu, Hongshi Xu, Huiliang Wang, Bingyan Ma, Hong Lv
Summary: Urban flooding is a serious problem due to global warming and rapid urbanization, and accurate forecasting is needed. However, current prediction methods struggle to provide accurate and stable predictions due to the randomness and uncertainty of rainfall and ponding processes. To address this, a time-varying Bayesian model averaging (TV-BMA) approach was proposed to develop an integrated model for predicting urban floods and providing early warning. The TV-BMA model showed significantly higher prediction accuracy and lower uncertainty compared to individual models and the traditional BMA approach, and it also demonstrated high accuracy in early warning results.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Georgios Mitsopoulos, Elpida Panagiotatou, Vasiliki Sant, Evangelos Baltas, Michalis Diakakis, Efthymios Lekkas, Anastasios Stamou
Summary: This study uses the HEC-RAS 1D/2D model to simulate a flood event in the town of Mandra, Greece, and investigates the minimum required computation grid and the required form of hydrodynamic equations in 2D modeling to minimize computational time. The results show that the diffusion wave equations underestimate water depths, while the shallow water equations result in slightly larger inundation areas, but these differences are within an acceptable range.
Article
Meteorology & Atmospheric Sciences
Xiaolei Jiang, Liping Zhang, Zhongmin Liang, Xiaolei Fu, Jun Wang, Jiaxin Xu, Yuchen Zhang, Qi Zhong
Summary: Accurate precipitation prediction is crucial for flood forecasting and early warning. The postprocessed predicted precipitation improves reliability and provides more significant improvements as lead time increases. However, substituting predicted rainfall for observation requires further refinement.
WEATHER AND CLIMATE EXTREMES
(2023)
Article
Engineering, Civil
A. S. Fleischmann, J. P. F. Breda, O. A. Passaia, S. C. Wongchuig, F. M. Fan, R. C. D. Paiva, G. F. Marques, W. Collischonn
Summary: This paper presents a novel approach that fully couples river-floodplain-reservoir hydrodynamic and hydrological models, significantly improving the representation of reservoir dynamics and operation at large scale. The study found that the operation schemes were more relevant than the reservoir bathymetry representation in estimating downstream flows and water levels.
JOURNAL OF HYDROLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Kieu Lan Phuong Nguyen, Yen Hsun Chuang, Ruey-Fang Yu, Ho-Wen Chen
Summary: The study proposed using an artificial neural network to build an early-warning model, utilizing records of past episodes with high concentrations of airborne particulate matter for modeling. Among the developed models, the one considering both environmental media and pollution sources was most accurate in predicting the severity of estuarian dust events, providing useful information for preemptive disaster mitigation measures to be implemented.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Environmental Sciences
Hua Wang, Zilin Shen, Yichuan Zeng, Huaiyu Yan, Yiping Li, Weihao Yuan
Summary: This study investigates the impact of increased water renewal driven by hydrodynamics on improving water quality, focusing on the effects of water diversion and hydrodynamics on river flow velocity. The river network is divided into three types based on main hydrodynamic driving factors, with high correlations observed among the flow velocities within each group. Water conservancy projects, river and lake water level difference, and river channel characteristic were found to have significant influence on the dynamics of the entire river network.
Article
Environmental Sciences
Andreas Buttinger-Kreuzhuber, Juergen Waser, Daniel Cornel, Zsolt Horvath, Artem Konev, Michael H. Wimmer, Juergen Komma, Guenter Bloeschl
Summary: This paper presents a method for simulating inundated areas in a region of 84,000 km(2) at a resolution of 2 m based on estimated flood discharges. A modeling framework is developed for efficient parallel processing by splitting the region into simulation tiles. The framework calculates input data and boundary conditions on-the-fly for each tile and ensures regionally consistent flood peak probabilities. The model accounts for local effects and uses GPUs for fast simulations. The results show good agreement with measured data and high-quality flood maps.
WATER RESOURCES RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Tahmina Yasmin, Kieran Khamis, Anthony Ross, Subir Sen, Anita Sharma, Debashish Sen, Sumit Sen, Wouter Buytaert, David M. Hannah
Summary: Floods in mountainous river catchments are causing increasing harm and require inclusive approaches to designing flood early warning systems. Rather than focusing solely on technology, the use of a SMART approach encourages engagement with local social and governance contexts to benefit the at-risk community. This approach integrates diverse backgrounds and identifies missing links to ensure inclusivity and good practice throughout the decision-making process.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Wen Zhu, Tao Tao, Hexiang Yan, Jieru Yan, Jiaying Wang, Shuping Li, Kunlun Xin
Summary: In this study, an optimized LSTM-based approach is proposed for early warning and forecasting of ponding in the urban drainage system. The approach can accurately identify and locate ponding with high accuracy. A model, constructed by two tandem processes and utilizing multi-task learning mechanism, was developed and demonstrated its superiority compared to LSTM and convolutional neural networks. The model was further revised with available monitoring data to improve accuracy, and the influence of the number of selected monitoring points on model performance was discussed.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Review
Green & Sustainable Science & Technology
Waleed A. Hammood, Ruzaini Abdullah Arshah, Salwana Mohamad Asmara, Hussam Al Halbusi, Omar A. Hammood, Salem Al Abri
Summary: The study emphasizes the importance of effective flood mitigation management in Malaysia, particularly through the implementation of a Flood Early Warning and Response System. It also highlights the significance of measuring information system success for managers and practitioners in the field.
Article
Environmental Sciences
Jinghua Xiong, Shenglian Guo, Jiabo Yin, Lei Gu, Feng Xiong
Summary: The study evaluates the spatial and temporal discharge variations in the Yangtze River basin during the 2020 catastrophic flood by integrating multiple datasets and using the CaMa-Flood hydrodynamic model. The results show the dominance of TWSA bias in runoff uncertainty at the basin scale, significant correlations between GRAFO-based runoff and GLDAS results, and the observation of flood peaks and recession process by the GRAFO-derived discharge series.
Article
Green & Sustainable Science & Technology
Dayong Li, Yiming Wei, Zengchuan Dong, Chuanhai Wang, Congcong Wang
Summary: This paper develops an early warning model for simulating conventional sudden water pollution in a plain river network based on a mainstream algorithm and proposes a calculation method for the early warning indexes. Through a case study, it is found that the increase in pollutant concentration is closely related to the background concentration, increasing the concentration limit of the functional area can reduce damage risk, and shortening the space step has a significant impact on the early warning model.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Mahfuzur Rahman, Ningsheng Chen, Md Monirul Islam, Golam Iftekhar Mahmud, Hamid Reza Pourghasemi, Mehtab Alam, Md Abdur Rahim, Muhammad Aslam Baig, Arnob Bhattacharjee, Ashraf Dewan
Summary: The study conducted flood hazard mapping and evaluated community flood coping strategies, proposing a humanitarian aid information system (HAIS) to enhance emergency support. Utilizing a machine learning algorithm with a hydrodynamic model, a flood hazard map was prepared, indicating most of the study area fell within low or moderate hazardous zones. Investigation revealed the current information system was not well prepared for emergencies, hence the proposed HAIS could effectively quantify emergency aids for flood victims.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Marine & Freshwater Biology
Arnoldo Valle-Levinson, Marco Marani, Luca Carniello, Andrea D'Alpaos, Stefano Lanzoni
Summary: Annual mean sea-level records in the northern Adriatic Sea over nearly 130 years show that the interannual variability is influenced by lunar precessions and solar activity. By fitting harmonics related to these factors, it was possible to explain more than 75% of the sea-level variability and predict future trends in the region. Additionally, anomalously high mean sea levels were observed during most of the high peaks of solar cycles in the area.
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
Geosciences, Multidisciplinary
Xiaoyan Zhou, Zhijun Dai, Luca Carniello, Chuqi Long, Riming Wang, Jiejun Luo, Zuming Huang
Summary: Mangrove wetlands play a crucial role in mitigating casualties and financial losses caused by typhoons in global mega-delta cities, primarily through wave energy attenuation. This study explores the wave attenuation process of Aegiceras corniculatum (AC) during a storm period in the Nanliu Delta, China. The results show that AC exhibits higher wave damping coefficient during storms compared to normal weather conditions. Sapling and adult AC, despite being densely distributed, have a greater impact on reducing wave height than sparsely distributed seedlings. Furthermore, the attenuation of wave height is linearly related to the landward wave propagation distance along AC plots of different ages. These findings emphasize the importance of AC trees of different ages and densities under different weather conditions in wave attenuation.
Article
Environmental Sciences
Chao Gao, Alvise Finotello, Andrea D'Alpaos, Massimiliano Ghinassi, Luca Carniello, Yupeng Pan, Dezhi Chen, Ya Ping Wang
Summary: Meandering channels in intertidal mudflats are important but poorly understood features in terms of hydrodynamics and morphodynamic evolution. This study presents new hydroacoustic data collected from a mudflat meander in China over an 8-day period. The results show the dominance of flood flows and the limited impact of curvature-induced helical flows on the morphodynamics of the meander. The findings contribute to a better understanding of intertidal mudflat meanders and their planform characteristics.
WATER RESOURCES RESEARCH
(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
Alvise Finotello, Davide Tognin, Luca Carniello, Massimiliano Ghinassi, Enrico Bertuzzo, Andrea D'Alpaos
Summary: The loss of salt marshes in back-barrier tidal embayments is causing significant changes in hydrodynamics, including higher water levels and reduced wave energy dissipation. Restoration projects and manmade protection of marsh margins have limited the negative effects of marsh loss, but the risk of flooding in urban settlements remains unchanged. The hydrodynamic response to salt-marsh erosion is highly site-specific, depending on embayment morphology and external tidal and wind forcings.
WATER RESOURCES RESEARCH
(2023)
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, Marine
Riccardo Alvise Mel, Elisa Coraci, Sara Morucci, Franco Crosato, Michele Cornello, Marco Casaioli, Stefano Mariani, Luca Carniello, Alvise Papa, Andrea Bonometto, Maurizio Ferla
Summary: The Italian Institute for Environmental Protection and Research manages a real time monitoring system for Italy's sea state. This system is used to monitor and predict storm surges in the northern Adriatic Sea and Venice Lagoon. The article presents an analysis of an extreme storm surge event to highlight the functionality and usefulness of the monitoring system.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)