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.

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.

Urban Flood Management

Urban Flood Management PDF Author: Andras Szollosi-Nagy
Publisher: CRC Press
ISBN: 9780415359986
Category : Science
Languages : en
Pages : 172

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Book Description
Over the last decades the world has witnessed a growing number of floods in urban areas. Climate change and rapid urbanization will exacerbate this trend. Flooding incidents in urbanized catchments and low-lying areas, such as polders, can lead to great public concern and anxiety, and their economical impact is severe. Apart from well-known flood prevention strategies, new approaches to the accommodation of floods are needed to create robust and sustainable solutions that enable us to cope with the ever-increasing urban pressure on flood-prone areas and the uncertainties created by climate change. Urban Flood Management comprises a multidisciplinary survey of recent developments in this field. Subjects like spatial and urban planning, flood insurance, flood resilience, flood proofing techniques, risk perception and preparedness and flood forecasting are treated by authorities from Brazil, India, the USA and Europe. Urban Flood Management will provide anyone active in the fields of water, risk and urban management with the latest information and insights that were obtained with a global and multidisciplinary approach.

Cities and Flooding

Cities and Flooding PDF Author: Abhas K. Jha
Publisher: World Bank Publications
ISBN: 0821394770
Category : Business & Economics
Languages : en
Pages : 639

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Book Description
Urban flooding is an increasing challenge today to the expanding cities and towns of developing countries. This Handbook is a state-of-the art, user-friendly operational guide that shows decision makers and specialists how to effectively manage the risk of floods in rapidly urbanizing settings--and within the context of a changing climate.

Urban Disasters and Resilience in Asia

Urban Disasters and Resilience in Asia PDF Author: Rajib Shaw
Publisher: Butterworth-Heinemann
ISBN: 0128023775
Category : Science
Languages : en
Pages : 370

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Book Description
Urban Disasters and Resilience in Asia presents the latest information on the intensity and frequency of disasters. Specifically, the fact that, in urban areas, more than 50% of the world's population is living on just 2% of the land surface, with most of these cities located in Asia and developing countries that have high vulnerability and intensification. The book offers an in-depth and multidisciplinary approach to reducing the impact of disasters by examining specific evidence from events in these areas that can be used to develop best practices and increase urban resilience worldwide. As urban resilience is largely a function of resilient and resourceful citizens, building cities which are more resilient internally and externally can lead to more productive economic returns. In an era of rapid urbanization and increasing disaster risks and vulnerabilities in Asian cities, Urban Disasters and Resilience in Asia is an invaluable tool for policy makers, researchers, and practitioners working in both public and private sectors. - Explores a broad range of aspects of disaster and urban resiliency, including environmental, economic, architectural, and engineering factors - Bridges the gap between urban resilience and rural areas and community building - Provides evidence-based data that can lead to improved disaster resiliency in urban Asia - Focuses on Asian cities, some of the most densely populated areas on the planet, where disasters are particularly devastating

Urban Flood Management

Urban Flood Management PDF Author: Chris Zevenbergen
Publisher: CRC Press
ISBN: 1439894337
Category : Science
Languages : en
Pages : 338

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Book Description
Along with windstorms, floods are the most common and widespread of all natural disasters. Although they can often be predicted, they cause loss of life, damage and destruction, as many urban communities are located near coasts and rivers. In terms of victims, floods are responsible for more than half the deaths caused by natural catastrophes. As f

Rainfall-runoff Modelling In Gauged And Ungauged Catchments

Rainfall-runoff Modelling In Gauged And Ungauged Catchments PDF Author: Thorsten Wagener
Publisher: World Scientific
ISBN: 1783260661
Category : Science
Languages : en
Pages : 333

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Book Description
This important monograph is based on the results of a study on the identification of conceptual lumped rainfall-runoff models for gauged and ungauged catchments. The task of model identification remains difficult despite decades of research. A detailed problem analysis and an extensive review form the basis for the development of a MatlabĀ® modelling toolkit consisting of two components: a Rainfall-Runoff Modelling Toolbox (RRMT) and a Monte Carlo Analysis Toolbox (MCAT). These are subsequently applied to study the tasks of model identification and evaluation. A novel dynamic identifiability approach has been developed for the gauged catchment case. The theory underlying the application of rainfall-runoff models for predictions in ungauged catchments is studied, problems are highlighted and promising ways to move forward are investigated. Modelling frameworks for both gauged and ungauged cases are developed. This book presents the first extensive treatment of rainfall-runoff model identification in gauged and ungauged catchments.

New Trends in Urban Drainage Modelling

New Trends in Urban Drainage Modelling PDF Author: Giorgio Mannina
Publisher:
ISBN: 9783319998688
Category : TECHNOLOGY & ENGINEERING
Languages : en
Pages : 1009

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Book Description
This book addresses the latest research advances, innovations, and applications in the field of urban drainage and water management as presented by leading researchers, scientists and practitioners from around the world at the 11th International Conference on Urban Drainage Modelling (UDM), held in Palermo, Italy from 23 to 26 September, 2018. The conference was promoted and organized by the University of Palermo, Italy and the International Working Group on Data and Models, with the support of four of the world?s leading organizations in the water sector: the International Water Association (IWA), International Association for Hydro-Environment Engineering and Research (IAHR), Environmental & Water Resources Institute (EWRI) - ASCE, and the International Environmental Modelling and Software Society (iEMSs). The topics covered are highly diverse and include drainage and impact mitigation, water quality, rainfall in urban areas, urban hydrologic and hydraulic processes, tools, techniques and analysis in urban drainage modelling, modelling interactions and integrated systems, transport and sewer processes (incl. micropollutants and pathogens), and water management and climate change. The conference?s primary goal is to offer a forum for promoting discussions amongst scientists and professionals on the interrelationships between the entire water cycle, environment and society.

Flood Forecasting

Flood Forecasting PDF Author: Thomas E. Adams
Publisher: Elsevier
ISBN: 0443140103
Category : Science
Languages : en
Pages : 498

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Book Description
Flood Forecasting: A Global Perspective, Second Edition covers hydrologic forecasting systems on both a national and regional scale. This updated edition includes a breakdown by county contribution and solutions to common issues with a wide range of approaches to address the difficulties inherent in the development, implementation and operational success of national-scale flood forecasting systems. Special attention is given to recent advances in machine learning techniques for flood forecasting. Overall, the information will lead to improvements of existing systems and provide a valuable reference on the intricacies of forecast systems in different parts of the world. - Covers global and regional systems, thus allowing readers to understand the different forecasting systems and how they developed - Offers practical applications for groups trying to improve existing flood forecasting systems - Includes innovative solutions for those interested in developing new systems - Contains analytical and updated information on forecasting and monitoring systems

Applied Uncertainty Analysis For Flood Risk Management

Applied Uncertainty Analysis For Flood Risk Management PDF Author: Keith J Beven
Publisher: World Scientific
ISBN: 1783263121
Category : Technology & Engineering
Languages : en
Pages : 685

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Book Description
This volume provides an introduction for flood risk management practitioners, up-to-date methods for analysis of uncertainty and its use in risk-based decision making. It addresses decision making for both short-term (real-time forecasting) and long-term (flood risk planning under change) situations. It aims primarily at technical practitioners involved in flood risk analysis and flood warning, including hydrologists, engineers, flood modelers, risk analysts and those involved in the design and operation of flood warning systems. Many experienced practitioners are now expected to modify their way of working to fit into the new philosophy of flood risk management. This volume helps them to undertake that task with appropriate attention to the surrounding uncertainties. The book will also interest and benefit researchers and graduate students hoping to improve their knowledge of modern uncertainty analysis.