Predictive Urban Coastal Flood Modeling

Predictive Urban Coastal Flood Modeling PDF Author: Timu W. Gallien
Publisher:
ISBN: 9781267826855
Category :
Languages : en
Pages : 109

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Book Description
Coastal flooding has been recognized as a significant challenge for human settlement. Global sea levels are expected to rise on the order of 1 m by 2100, exacerbating already episodic flooding in highly urbanized coastal communities. Flood mapping is the first step in risk assessment and represents a critical element of flood risk management, not only to identify vulnerable property but to evaluate the efficacy and potential consequences of proposed adaptation strategies. However, flood maps have not been rigorously validated to include information about model sensitivities and uncertainties relative to modeling methodology and infrastructure resolution. A two dimensional Godunov type hydrodynamic model that solves a local Riemann problem to accommodate weir-like overflow is successfully applied to simulate tidal flooding. The shallow water hydrodynamic model is then augmented with empirical overtopping models to investigate the effect of wave overtopping volumes. Simulation results are compared to two unique validation datasets and three critical issues in coastal flood prediction emerge; the effects of methodology (i.e. equilibrium vs. hydrodynamic), depiction of both weir-like overflow of walls and wave runup and overtopping volumes and finally, resolving flood control infrastructure and mitigation measures. Hydrodynamic modeling methodologies responsive to flood control infrastructure are found to outperform existing equilibrium flood mapping methodologies which ignore hydraulic connectivity and assume instantaneous filling of the backshore. Weir-like and wave runup and overtopping volumes are shown to significantly influence flood prediction, and paradoxically, mitigation strategies associated with weir-like flooding may exacerbate runup and overtopping floods. Finally, results show that accurate flood mapping requires inclusion of both flood control infrastructure such as drainage and flood defense walls resolved with centimetric accuracy. A real time kinematic (RTK) survey with approximately 1.5 cm vertical root mean square error (RMSE) is found to be suitable for barrier height measurement. However, errors consistent with aerial laser scanning (LiDAR) of approximately 15 cm RMSE are inadequate for urban flood mapping.

Predictive Urban Coastal Flood Modeling

Predictive Urban Coastal Flood Modeling PDF Author: Timu W. Gallien
Publisher:
ISBN: 9781267826855
Category :
Languages : en
Pages : 109

Get Book Here

Book Description
Coastal flooding has been recognized as a significant challenge for human settlement. Global sea levels are expected to rise on the order of 1 m by 2100, exacerbating already episodic flooding in highly urbanized coastal communities. Flood mapping is the first step in risk assessment and represents a critical element of flood risk management, not only to identify vulnerable property but to evaluate the efficacy and potential consequences of proposed adaptation strategies. However, flood maps have not been rigorously validated to include information about model sensitivities and uncertainties relative to modeling methodology and infrastructure resolution. A two dimensional Godunov type hydrodynamic model that solves a local Riemann problem to accommodate weir-like overflow is successfully applied to simulate tidal flooding. The shallow water hydrodynamic model is then augmented with empirical overtopping models to investigate the effect of wave overtopping volumes. Simulation results are compared to two unique validation datasets and three critical issues in coastal flood prediction emerge; the effects of methodology (i.e. equilibrium vs. hydrodynamic), depiction of both weir-like overflow of walls and wave runup and overtopping volumes and finally, resolving flood control infrastructure and mitigation measures. Hydrodynamic modeling methodologies responsive to flood control infrastructure are found to outperform existing equilibrium flood mapping methodologies which ignore hydraulic connectivity and assume instantaneous filling of the backshore. Weir-like and wave runup and overtopping volumes are shown to significantly influence flood prediction, and paradoxically, mitigation strategies associated with weir-like flooding may exacerbate runup and overtopping floods. Finally, results show that accurate flood mapping requires inclusion of both flood control infrastructure such as drainage and flood defense walls resolved with centimetric accuracy. A real time kinematic (RTK) survey with approximately 1.5 cm vertical root mean square error (RMSE) is found to be suitable for barrier height measurement. However, errors consistent with aerial laser scanning (LiDAR) of approximately 15 cm RMSE are inadequate for urban flood mapping.

Modeling with Digital Ocean and Digital Coast

Modeling with Digital Ocean and Digital Coast PDF Author: Xin Zhang
Publisher: Springer
ISBN: 3319427105
Category : Science
Languages : en
Pages : 232

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Book Description
This book presents essential new insights in research and applications concerning spatial information technologies and coastal disaster prevention modeling for oceanic and coastal regions. As a new research domain of Digital Earth, it covers the latest scientific and technical advances, from the acquisition and integration of observational data, ocean spatio-temporal analysis and coastal flood forecasting to frequency modeling and the development of technical platforms. The individual chapters will be of interest to specialists in oceanic and coastal monitoring and management who deal with aspects of data integration, sharing, visualization, and spatio-temporal analysis from a Digital Earth perspective.

Flood Modeling, Prediction and Mitigation

Flood Modeling, Prediction and Mitigation PDF Author: Zekâi Şen
Publisher: Springer
ISBN: 3319523562
Category : Nature
Languages : en
Pages : 431

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Book Description
This book draws on the author’s professional experience and expertise in humid and arid regions to familiarize readers with the basic scientific philosophy and methods regarding floods and their impacts on human life and property. The basis of each model, algorithm and calculation methodology is presented, together with logical and analytical strategies. Global warming and climate change trends are addressed, while flood risk assessments, vulnerability, preventive and mitigation procedures are explained systematically, helping readers apply them in a rational and effective manner. Lastly, real-world project applications are highlighted in each section, ensuring readers grasp not only the theoretical aspects but also their concrete implementation.

Spatial Modeling in GIS and R for Earth and Environmental Sciences

Spatial Modeling in GIS and R for Earth and Environmental Sciences PDF Author: Hamid Reza Pourghasemi
Publisher: Elsevier
ISBN: 0128156953
Category : Mathematics
Languages : en
Pages : 798

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Book Description
Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography Provides an overview, methods and case studies for each application Expresses concepts and methods at an appropriate level for both students and new users to learn by example

Global Flood Hazard

Global Flood Hazard PDF Author: Guy J-P. Schumann
Publisher: John Wiley & Sons
ISBN: 1119217865
Category : Science
Languages : en
Pages : 266

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Book Description
Global Flood Hazard Subject Category Winner, PROSE Awards 2019, Earth Science Selected from more than 500 entries, demonstrating exceptional scholarship and making a significant contribution to the field of study. Flooding is a costly natural disaster in terms of damage to land, property and infrastructure. This volume describes the latest tools and technologies for modeling, mapping, and predicting large-scale flood risk. It also presents readers with a range of remote sensing data sets successfully used for predicting and mapping floods at different scales. These resources can enable policymakers, public planners, and developers to plan for, and respond to, flooding with greater accuracy and effectiveness. Describes the latest large-scale modeling approaches, including hydrological models, 2-D flood inundation models, and global flood forecasting models Showcases new tools and technologies such as Aqueduct, a new web-based tool used for global assessment and projection of future flood risk under climate change scenarios Features case studies describing best-practice uses of modeling techniques, tools, and technologies Global Flood Hazard is an indispensable resource for researchers, consultants, practitioners, and policy makers dealing with flood risk, flood disaster response, flood management, and flood mitigation.

Framing the Challenge of Urban Flooding in the United States

Framing the Challenge of Urban Flooding in the United States PDF Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 030948961X
Category : Science
Languages : en
Pages : 101

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Book Description
Flooding is the natural hazard with the greatest economic and social impact in the United States, and these impacts are becoming more severe over time. Catastrophic flooding from recent hurricanes, including Superstorm Sandy in New York (2012) and Hurricane Harvey in Houston (2017), caused billions of dollars in property damage, adversely affected millions of people, and damaged the economic well-being of major metropolitan areas. Flooding takes a heavy toll even in years without a named storm or event. Major freshwater flood events from 2004 to 2014 cost an average of $9 billion in direct damage and 71 lives annually. These figures do not include the cumulative costs of frequent, small floods, which can be similar to those of infrequent extreme floods. Framing the Challenge of Urban Flooding in the United States contributes to existing knowledge by examining real-world examples in specific metropolitan areas. This report identifies commonalities and variances among the case study metropolitan areas in terms of causes, adverse impacts, unexpected problems in recovery, or effective mitigation strategies, as well as key themes of urban flooding. It also relates, as appropriate, causes and actions of urban flooding to existing federal resources or policies.

Flood Forecasting Using Machine Learning Methods

Flood Forecasting Using Machine Learning Methods PDF Author: Fi-John Chang
Publisher: MDPI
ISBN: 3038975486
Category : Technology & Engineering
Languages : en
Pages : 376

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Book Description
Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.

Coastal Flooding: Modeling, Monitoring, and Protection Systems

Coastal Flooding: Modeling, Monitoring, and Protection Systems PDF Author: Valentina Prigiobbe
Publisher: Frontiers Media SA
ISBN: 2889744558
Category : Science
Languages : en
Pages : 165

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Book Description


Coastal Flood Forecasting

Coastal Flood Forecasting PDF Author: Great Britain. Environment Agency
Publisher:
ISBN: 9781844328390
Category : Coast changes
Languages : en
Pages : 107

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Book Description


Global Drought and Flood

Global Drought and Flood PDF Author: Huan Wu
Publisher: John Wiley & Sons
ISBN: 1119427215
Category : Science
Languages : en
Pages : 352

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Book Description
Recent advances in the modeling and remote sensing of droughts and floods Droughts and floods are causing increasing damage worldwide, often with devastating short- and long-term impacts on human society. Forecasting when they will occur, monitoring them as they develop, and learning from the past to improve disaster management is vital. Global Drought and Flood: Observation, Modeling, and Prediction presents recent advances in the modeling and remote sensing of droughts and floods. It also describes the techniques and products currently available and how they are being used in practice. Volume highlights include: Remote sensing approaches for mapping droughts and floods Physical and statistical models for monitoring and forecasting hydrologic hazards Features of various drought and flood systems and products Use by governments, humanitarian, and development stakeholders in recent disaster cases Improving the collaboration between hazard information provision and end users The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.