Near Real Time Simulation And Internet Based Delivery Of Forecast Flood Inundation Maps Using Two Dimensional Hydraulic Modeling

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Near-real-time Simulation and Internet-based Delivery of Forecast-flood Inundation Maps Using Two-dimensional Hydraulic Modeling

Author : Joseph L. Jones,Janice M. Fulford,Frank D. Voss
Publisher : Unknown
Page : 48 pages
File Size : 48,5 Mb
Release : 2002
Category : Flood forecasting
ISBN : UIUC:30112098304477

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Near-real-time Simulation and Internet-based Delivery of Forecast-flood Inundation Maps Using Two-dimensional Hydraulic Modeling by Joseph L. Jones,Janice M. Fulford,Frank D. Voss Pdf

Near-Real-Time Simulation and Internet-Based Delivery of Forecast-Flood Inundation Maps Using Two-Dimensional Hydraulic Modeling: A Pilot Study of the Snoqualmie River, Washington

Author : Anonim
Publisher : DIANE Publishing
Page : 40 pages
File Size : 48,5 Mb
Release : 2024-06-26
Category : Electronic
ISBN : 9781428961036

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Near-Real-Time Simulation and Internet-Based Delivery of Forecast-Flood Inundation Maps Using Two-Dimensional Hydraulic Modeling: A Pilot Study of the Snoqualmie River, Washington by Anonim Pdf

Water-resources Investigations Report

Author : Jeffrey R. Deacon,Joseph L. Jones,Janice M. Fulford,William Christopher Nash,Frank D. Voss
Publisher : Unknown
Page : 84 pages
File Size : 55,6 Mb
Release : 2002
Category : Bacterial pollution of water
ISBN : OSU:32435077250587

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Water-resources Investigations Report by Jeffrey R. Deacon,Joseph L. Jones,Janice M. Fulford,William Christopher Nash,Frank D. Voss Pdf

Water-resources Investigations Report

Author : Anonim
Publisher : Unknown
Page : 48 pages
File Size : 50,5 Mb
Release : 2002
Category : Hydrology
ISBN : MINN:31951D02536392L

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Water-resources Investigations Report by Anonim Pdf

Severe Storms and Reducing Their Impact on Communities

Author : United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Disaster Prevention and Prediction
Publisher : Unknown
Page : 72 pages
File Size : 43,7 Mb
Release : 2006
Category : Technology & Engineering
ISBN : PSU:000058161180

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Severe Storms and Reducing Their Impact on Communities by United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Disaster Prevention and Prediction Pdf

Assessing the National Streamflow Information Program

Author : National Research Council,Division on Earth and Life Studies,Water Science and Technology Board,Committee on Review of the USGS National Streamflow Information Program
Publisher : National Academies Press
Page : 176 pages
File Size : 40,6 Mb
Release : 2004-08-19
Category : Science
ISBN : 9780309166249

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Assessing the National Streamflow Information Program by National Research Council,Division on Earth and Life Studies,Water Science and Technology Board,Committee on Review of the USGS National Streamflow Information Program Pdf

From warning the public of impending floods to settling legal arguments over water rights, the measurement of streamflow ("streamgaging") plays a vital role in our society. Having good information about how much water is moving through our streams helps provide citizens with drinking water during droughts, control water pollution, and protect wildlife along our stream corridors. The U.S. Geological Survey's (USGS) streamgaging program provides such information to a wide variety of users interested in human safety, recreation, water quality, habitat, industry, agriculture, and other topics. For regional and national scale streamflow information needs, the USGS has created a National Streamflow Information Program (NSIP). In addition to streamgaging, the USGS envisions intensive data collection during floods and droughts, national assessments of streamflow characteristics, enhanced information delivery, and methods development and research. The overall goals of the program are to: meet legal and treaty obligations on interstate and international waters, support flow forecasting; measure river basin outflows, monitor sentinel watersheds for long-term trends in natural flows, and measure flows for water quality needs. But are these the right topics to collect data on? Or is the USGS on the wrong track? In general, the book is supportive of the design and content of NSIP, including its goals and methodology for choosing stream gages for inclusion in the program. It sees the ultimate goal of NSIP as developing the ability to use existing data-gathering sites to generate streamflow information with quantitative confidence limits at any location in the nation. It is just as important to have good measurements during droughts as during floods, and it therefore recommends supporting Natural Resource Conservation Service forecast sites in addition to those of the National Weather Service.

Flood Risk Management in Europe

Author : Selina Begum,Marcel J.F. Stive,Jim W. Hall
Publisher : Springer Science & Business Media
Page : 532 pages
File Size : 51,6 Mb
Release : 2007-06-17
Category : Science
ISBN : 9781402042003

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Flood Risk Management in Europe by Selina Begum,Marcel J.F. Stive,Jim W. Hall Pdf

This valuable edition brings together 25 peer reviewed articles on technical, socio-economic, environmental and policy aspects of flood risk management. Some emerging technologies are presented and several future challenges are identified. Thus the book forms an excellent reference for the engineers, scientists, planners, policy-makers, researchers, insurance industry and all the practitioners involved in flood risk management.

Flood Forecasting Using Machine Learning Methods

Author : Fi-John Chang,Kuolin Hsu,Li-Chiu Chang
Publisher : MDPI
Page : 376 pages
File Size : 40,7 Mb
Release : 2019-02-28
Category : Technology & Engineering
ISBN : 9783038975489

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Flood Forecasting Using Machine Learning Methods by Fi-John Chang,Kuolin Hsu,Li-Chiu Chang Pdf

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.

Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models

Author : Maurizio Mazzoleni
Publisher : CRC Press
Page : 180 pages
File Size : 52,5 Mb
Release : 2017-03-16
Category : Science
ISBN : 9781351646468

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Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models by Maurizio Mazzoleni Pdf

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.

Flash Flood Forecasting

Author : A. J. Hall,World Meteorological Organization
Publisher : World Meteorological Organization
Page : 60 pages
File Size : 44,6 Mb
Release : 1981
Category : Science
ISBN : UCSD:31822010148708

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Flash Flood Forecasting by A. J. Hall,World Meteorological Organization Pdf

Simulating Floods

Author : Dinand Alkema
Publisher : Unknown
Page : 205 pages
File Size : 44,9 Mb
Release : 2007
Category : Flood forecasting
ISBN : 9061642639

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Simulating Floods by Dinand Alkema Pdf