A Real-time Flood Forecasting and Flood Inundation Mapping System for the Lake Champ̂lain-Richelieu River Watershed PDF Download
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Author:
Publisher:
ISBN: 9780660040493
Category : Electronic books
Languages : en
Pages : 92
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Book Description
Author:
Publisher:
ISBN: 9780660040493
Category : Electronic books
Languages : en
Pages : 92
Get Book Here
Book Description
Author: Daniels
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Joseph L. Jones
Publisher:
ISBN:
Category : Flood forecasting
Languages : en
Pages : 48
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Book Description
Author:
Publisher: DIANE Publishing
ISBN: 1428961038
Category :
Languages : en
Pages : 40
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Book Description
Author: Thomas E. Adams
Publisher: Academic Press
ISBN: 0128018593
Category : Nature
Languages : en
Pages : 485
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Book Description
Flood Forecasting: A Global Perspective describes flood forecast systems and operations as they currently exist at national and regional centers around the globe, focusing on the technical aspects of flood forecast systems. This book includes the details of data flow, what data is used, quality control, the hydrologic and hydraulic models used, and the unique problems of each country or system, such as glacial dam failures, ice jams, sparse data, and ephemeral streams and rivers. Each chapter describes the system, including details about its strengths and weaknesses, and covers lessons learned. This helpful resource facilitates sharing knowledge that will lead to improvements of existing systems and provides a valuable reference to those wishing to develop new forecast systems by drawing on best practices. Covers global systems allowing readers to see a worldwide perspective with different approaches used by existing flood forecast systems Provides historical coverage allowing readers to understand why forecast systems have developed as they have and to see how specific systems have dealt with common problems encountered Presents a vision of what appears to be the future of hydrologic forecasting and difficulties facing hydrologic forecasting Provides a helpful resource to facilitate improvements to existing systems based on a best practices approach
Author: Donald Knight
Publisher: CRC Press
ISBN: 9781439824702
Category : Technology & Engineering
Languages : en
Pages : 626
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Book Description
Flooding accounts for one-third of natural disasters worldwide and for over half the deaths which occur as a result of natural disasters. As the frequency and volume of flooding increases, as a result of climate change, there is a new urgency amongst researchers and professionals working in flood risk management. River Basin Modelling for Flood Risk Mitigation brings together thirty edited papers by leading experts who gathered for the European Union’s Advanced Study Course at the University of Birmingham, UK. The scope of the course ranged from issues concerning the protection of life, to river restoration and wetland management. A variety of topics is covered in the book including climate change, hydro-informatics, hydro-meterology, river flow forecasting systems and dam-break modelling. The approach is broad, but integrated, providing an attractive and informative package that will satisfy researchers and professionals, while offering a sound introduction to students in Engineering and Geography.
Author: Guy J-P. Schumann
Publisher: John Wiley & Sons
ISBN: 1119217903
Category : Science
Languages : en
Pages : 270
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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.
Author: Emma Jane Spett
Publisher:
ISBN:
Category : Flood damage prevention
Languages : en
Pages : 332
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Book Description
In April of 2011, heavy rainfall paired with snow melt from the Green and Adirondack Mountains caused unprecedented flooding in the Lake Champlain Richelieu River (LCRR) basin. A study was subsequently convened by the International Joint Commission (IJC), and was tasked with identifying how flood forecasting, preparedness, and mitigation could be improved in order to reduce the impact of flooding in this transboundary watershed, and build the greater community's resilience to flooding. A component of this study includes an assessment of the social acceptability and political feasibility of potential flood mitigation measures, which was in part carried out through the development and administration of a survey that assessed how residents of the LCRR basin perceive risk and engage with criteria used to make decisions regarding flood mitigation.The objective of this research is to provide insight into how members of the public in the LCRR basin consider flood risk and flood mitigation, and how those perceptions impact the feasibility of various flood mitigation measures, and can point policymakers in directions that are socially acceptable. To set the stage for the applied nature of this study, this thesis begins with an introduction to the operationalization of flood management research. That is followed by a review of relevant literature, including theories related to resilience of social-ecological systems, disaster resilience, and natural hazard risk perception. The third chapter of this thesis offers a case study of the social, political, and economic implications of the spring 2011 floods in the LCRR basin. Two articles are then presented. The first article uses the results of a household risk perception survey (N=151) designed and administered in 2019 to primarily investigate how flood experience, adoption of flood preparedness measures, and opinions regarding flood mitigation measures impact perceptions of flood risk. Socioeconomic and geographic variables are also considered. Findings indicate that perceptions of flood risk are primarily based on prior flood experiences, rather than dependent of characteristics that make respondents more vulnerable to flooding. Additionally, there are disconnects between perceptions of flood risk and likelihood of adopting preparedness measures, and where respondents get information versus who they trust for that information. In the second article, the results of a multi-criteria decision analysis from the same household risk perception survey are investigated. Respondents engaged with nine decision criteria, provided by the study, through ranking and scoring exercises. Results were assessed through a process called Technique for Ordered Preference Similarity to the Ideal Solution (TOPSIS), where the ranks and scores were weighted and normalized. Respondents were broken into a variety of clusters, and their ranks were assessed in comparison with other clusters. Findings indicate that respondents primarily preferred criteria which indicated altruistic outcomes from flood mitigation measures, although later rankings indicated significant variation based on demographic characteristics, geographic location, and flood experiences. This thesis concludes with a summary, policy implications, and recommendations for future research. A further investigation into the value of flood early warning systems is provided, in addition to an agenda for exploring these concepts more deeply.
Author: Maurizio Mazzoleni
Publisher: CRC Press
ISBN: 135164646X
Category : Science
Languages : en
Pages : 180
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Book Description
In recent years, the continued technological advances have led to the spread of low-cost sensors and devices supporting crowdsourcing as a way to obtain observations of hydrological variables in a more distributed way than the classic static physical sensors. The main advantage of using these type of sensors is that they can be used not only by technicians but also by regular citizens. However, due to their relatively low reliability and varying accuracy in time and space, crowdsourced observations have not been widely integrated in hydrological and/or hydraulic models for flood forecasting applications. Instead, they have generally been used to validate model results against observations, in post-event analyses. This research aims to investigate the benefits of assimilating the crowdsourced observations, coming from a distributed network of heterogeneous physical and social (static and dynamic) sensors, within hydrological and hydraulic models, in order to improve flood forecasting. The results of this study demonstrate that crowdsourced observations can significantly improve flood prediction if properly integrated in hydrological and hydraulic models. This study provides technological support to citizen observatories of water, in which citizens not only can play an active role in information capturing, evaluation and communication, leading to improved model forecasts and better flood management.
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.
