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Improving Flood Prediction Assimilating Uncertain Crowdsourced Data Into Hydrologic And Hydraulic Models
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Book Synopsis Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models by : Maurizio Mazzoleni
Download or read book Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models written by Maurizio Mazzoleni and published by CRC Press. This book was released on 2017-03-16 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models by : Maurizio Mazzoleni
Download or read book Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models written by Maurizio Mazzoleni and published by CRC Press. This book was released on 2017-03-16 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Advances on Testing and Experimentation in Civil Engineering by : Carlos Chastre
Download or read book Advances on Testing and Experimentation in Civil Engineering written by Carlos Chastre and published by Springer Nature. This book was released on 2022-08-17 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the recent advances on testing and experimentation in civil engineering, especially in the branches of geotechnics, transportation, hydraulics, and natural resources. It includes advances in physical modelling, monitoring techniques, data acquisition and analysis, and provides an invaluable contribution for the installation of new civil engineering experimental facilities. The first part of the book covers the latest advances in testing and experimentation in key domains of geotechnics: soil mechanics and geotechnical engineering, rock mechanics and rock engineering, and engineering geology. Some of the topics covered include new developments in topographic survey acquisition for applied mapping and in situ geotechnical investigations; laboratory and in situ tests to estimate the relevant parameters needed to model the behaviour of rock masses and land structures; monitoring and inspection techniques designed for offshore wind foundations. The second part of the book highlights the relevance of testing and monitoring in transportation. Full-scale accelerated pavement testing, and instrumentation becomes even more important nowadays when, for sustainability purposes, non-traditional materials are used in road and airfield pavements. Innovation in testing and monitoring pavements and railway tracks is also developed in this part of the book. Intelligent traffic systems are the new traffic management paradigm, and an overview of new solutions is addressed here. Finally, in the third part of the book, trends in the field and laboratory measurements and corresponding data analysis are presented according to the different hydraulic domains addressed in this publication, namely maritime hydraulics, surface water and river hydraulics and urban water.
Book Synopsis Applications of Data Assimilation and Inverse Problems in the Earth Sciences by : Alik Ismail-Zadeh
Download or read book Applications of Data Assimilation and Inverse Problems in the Earth Sciences written by Alik Ismail-Zadeh and published by Cambridge University Press. This book was released on 2023-06-30 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive reference on data assimilation and inverse problems, and their applications across a broad range of geophysical disciplines, ideal for researchers and graduate students. It highlights the importance of data assimilation for understanding dynamical processes of the Earth and its space environment, and summarises recent advances.
Book Synopsis Flood Forecasting Using Machine Learning Methods by : Fi-John Chang
Download or read book Flood Forecasting Using Machine Learning Methods written by Fi-John Chang and published by MDPI. This book was released on 2019-02-28 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Modelling Uncertainty in Flood Forecasting Systems by : Shreeda Maskey
Download or read book Modelling Uncertainty in Flood Forecasting Systems written by Shreeda Maskey and published by CRC Press. This book was released on 2004-11-23 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like all natural hazards, flooding is a complex and inherently uncertain phenomenon. Despite advances in developing flood forecasting models and techniques, the uncertainty in forecasts remains unavoidable. This uncertainty needs to be acknowledged, and uncertainty estimation in flood forecasting provides a rational basis for risk-based criteria. This book presents the development and applications of various methods based on probablity and fuzzy set theories for modelling uncertainty in flood forecasting systems. In particular, it presents a methodology for uncertainty assessment using disaggregation of time series inputs in the framework of both the Monte Carlo method and the Fuzzy Extention Principle. It reports an improvement in the First Order Second Moment method, using second degree reconstruction, and derives qualitative scales for the interpretation of qualitative uncertainty. Application is to flood forecasting models for the Klodzko catchment in POland and the Loire River in France. Prospects for the hybrid techniques of uncertainty modelling and probability-possibility transformations are also explored and reported.
Book Synopsis Applied Uncertainty Analysis for Flood Risk Management by : Keith Beven
Download or read book Applied Uncertainty Analysis for Flood Risk Management written by Keith Beven and published by World Scientific. This book was released on 2014-01-13 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Contents:Introduction:Flood Risk Management: Decision Making Under Uncertainty (Jim W Hall)Use of Models in Flood Risk Management (Keith Beven)Theoretical Perspectives:A Framework for Uncertainty Analysis (Keith Beven)Classical Approaches for Statistical Inference in Model Calibration with Uncertainty (R E Chandler)Formal Bayes Methods for Model Calibration with Uncertainty (Jonathan Rougier)The GLUE Methodology for Model Calibration with Uncertainty (Keith Beven)Uncertainties in Flood Modelling and Risk Analysis:Uncertainty in Rainfall Inputs (R E Chandler, V S Isham, P J Northrop, H S Wheater, C J Onof and N A Leith)Uncertainty in Flood Frequency Analysis (Thomas R Kjeldsen, Rob Lamb and Sarka D Blazkova)Minimising Uncertainty in Statistical Analysis of Extreme Values (C Keef)Uncertainty in Flood Inundation Modelling (Paul D Bates, Florian Pappenberger and Renata J Romanowicz)Flood Defence Reliability Analysis (Pieter van Gelder and Han Vrijling)Uncertainties in Flood Modelling in Urban Areas (Slobodan Djordjević, Zoran Vojinović, Richard Dawson and Dragan A Savić)The Many Uncertainties in Flood Loss Assessments (John Chatterton, Edmund Penning-Rowsell and Sally Priest)Uncertainty and Sensitivity Analysis of Current and Future Flood Risk in the Thames Estuary (Jim W Hall, Hamish Harvey and Owen Tarrant)Uncertainties in Real-Time Flood Forecasting:Operational Hydrologic Ensemble Forecasting (Albrecht H Weerts, Dong-Jun Seo, Micha Werner and John Schaake)A Data-Based Mechanistic Modelling Approach to Real-Time Flood Forecasting (Peter C Young, Renata J Romanowicz and Keith Beven)Uncertainty Estimation in Fluvial Flood Forecasting Applications (Kevin Sene, Albrecht H Weerts, Keith Beven, Robert J Moore, Chris Whitlow, Stefan Laeger and Richard Cross)Case Study: Decision Making for Flood Forecasting in the US National Weather Service (Robert Hartman and John Schaake)Quantifying and Reducing Uncertainties in Operational Forecasting: Examples from the Delft FEWS Forecasting System (Micha Werner, Paolo Reggiani and Albrecht H Weerts)Real-Time Coastal Flood Forecasting (Kevin Horsburgh and Jonathan Flowerdew)Uncertainties in Long-Term Change in Flood Risk:Detecting Long-Term Change in Flood Risk (Cíntia B Uvo and Robin T Clarke)Detecting Changes in Winter Precipitation Extremes and Fluvial Flood Risk (Robert L Wilby, Hayley J Fowler and Bill Donovan)Flood Risk in Eastern Australia — Climate Variability and Change (Stewart W Franks)Communicating Uncertainties:Translating Uncertainty in Flood Risk Science (Hazel Faulkner, Meghan Alexander and David Leedal) Readership: Hydrologists, civil engineers, meteorologists, flood risk managers, environmental scientists, hydraulic engineers and consultants. Key Features:Dedicated to the important problem of uncertainty in flood risk analysisTakes an applied perspective with a range of case studiesProvides a comprehensive coverage of uncertainties in flood risk analysis, including flood forecasting, simulation modeling and impacts assessmentKeywords:Floods;Flood Risk Management;Uncertainty Estimation;Flood Frequency;Rainfall Models
Book Synopsis Advances in Hydrologic Forecasts and Water Resources Management by : Fi-John Chang
Download or read book Advances in Hydrologic Forecasts and Water Resources Management written by Fi-John Chang and published by MDPI. This book was released on 2021-01-20 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: The impacts of climate change on water resource management, as well as increasingly severe natural disasters over the last decades, have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resource management and the mitigation of natural disasters. While the notorious nonlinear hydrological processes make accurate forecasts a very challenging task, it requires advanced techniques to build accurate forecast models and reliable management systems. One of the newest techniques for modeling complex systems is artificial intelligence (AI). AI can replicate the way humans learn and has great capability to efficiently extract crucial information from large amounts of data to solve complex problems. The fourteen research papers published in this Special Issue contribute significantly to the uncertainty assessment of operational hydrologic forecasting under changing environmental conditions and the promotion of water resources management by using the latest advanced techniques, such as AI techniques. The fourteen contributions across four major research areas: (1) machine learning approaches to hydrologic forecasting; (2) uncertainty analysis and assessment on hydrological modeling under changing environments; (3) AI techniques for optimizing multi-objective reservoir operation; (4) adaption strategies of extreme hydrological events for hazard mitigation. The papers published in this issue will not only advance water sciences but also help policymakers to achieve more sustainable and effective water resource management.
Book Synopsis Global Flood Hazard by : Guy J-P. Schumann
Download or read book Global Flood Hazard written by Guy J-P. Schumann and published by John Wiley & Sons. This book was released on 2018-07-18 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. PROSE Award Finalist 2019 Association of American Publishers Award for Professional and Scholarly Excellence 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.
Book Synopsis Floods in a Changing Climate by : Giuliano Di Baldassarre
Download or read book Floods in a Changing Climate written by Giuliano Di Baldassarre and published by Cambridge University Press. This book was released on 2012-11-22 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Flood inundation models enable us to make hazard predictions for floodplains, mitigating increasing flood fatalities and losses. This book provides an understanding of hydraulic modelling and floodplain dynamics, with a key focus on state-of-the-art remote sensing data, and methods to estimate and communicate uncertainty. Academic researchers in the fields of hydrology, climate change, environmental science and natural hazards, and professionals and policy-makers working in flood risk mitigation, hydraulic engineering and remote sensing will find this an invaluable resource. This volume is the third in a collection of four books on flood disaster management theory and practice within the context of anthropogenic climate change. The others are: Floods in a Changing Climate: Extreme Precipitation by Ramesh Teegavarapu, Floods in a Changing Climate: Hydrological Modeling by P. P. Mujumdar and D. Nagesh Kumar and Floods in a Changing Climate: Risk Management by Slodoban Simonović.
Book Synopsis Flood Assessment by : Eric W. Harmsen
Download or read book Flood Assessment written by Eric W. Harmsen and published by Innovations in Agricultural &. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: About 7,000 people lose their lives and nearly 100 million people are adversely affected by floods each year worldwide. Severe flooding also costs billions of dollars each year in damage and economic losses. This new volume focuses on two detailed studies that employ physically based hydrologic models to predict flooding in the particularly challenging environment of small watersheds with mountainous terrain and high intensity/high variability rainfall. The first study, by Dr. Alejandra Rojas Gonzalez, discusses flood prediction limitations in small watersheds with mountainous terrain and high rainfall variability. The hypothesis of the study is that it is possible to perform a small-scale, affordable model calibration, and then scale-up the parameters to a larger basin-scale model. The study specifically addresses the following scientific questions: How is flow prediction affected by the spatial variability of point rainfall at scales below that of the typical resolution of radar-based products? How does parameter and hydrological model resolution affect the model's predictive capabilities and the errors of the hydrologic model? Would the assumptions developed for the small scale enhance the hydrologic predictability at larger scales? The second study, by Dr. Luz E. Torres Molina, describes the development of a stochastic model to forecast short-term rainfall for a tropical basin. The high-resolution rainfall data (≈ 100-m) was derived using the TropiNet radar system at the University of Puerto Rico-Mayaguez Campus, representing possibly the only study of its kind in a tropical environment. The predicted short-term rainfall data was input into a hydrologic model, and flood inundation levels were estimated at selected locations within the basin. Results of the rainfall and hydrologic forecasts are compared with observed data. The study also provides a prototype for a flood forecast alarm system. Book jacket.
Book Synopsis Flood Assessment by : Eric W. Harmsen
Download or read book Flood Assessment written by Eric W. Harmsen and published by CRC Press. This book was released on 2017-12-22 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: About 7,000 people lose their lives and nearly 100 million people are adversely affected by floods each year worldwide. Flooding occurs in almost every part of the world and is the result of extreme rainfall. Severe flooding also costs billions of dollars each year in damage and economic losses. This new volume focuses on two detailed studies that employ physically based hydrologic models to predict flooding in the particularly challenging environment of small watersheds with mountainous terrain and high intensity/high variability rainfall.
Book Synopsis Flood Risk Management: Research and Practice by : Paul Samuels
Download or read book Flood Risk Management: Research and Practice written by Paul Samuels and published by CRC Press. This book was released on 2008-10-01 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Floods cause distress and damage wherever and whenever they happen. Flooding from rivers, estuaries and the sea threatens many millions of people worldwide and economic and insurance losses from flooding have increased significantly since 1990. Based on the work of leading researchers, this book provides an overview of advances in this important subject. It covers all aspects of flood risk including the causes of floods; their impacts on people, property and the environment; and portfolios of risk management measurement. Additional topics include climate change, estimation of extremes, flash floods, flood forecasting and warning, inundation modeling, systems analysis, uncertainty, international programs, and flood defense infrastructure and assets. The book also examines environmental, human, and social impacts; vulnerability and resilience; risk sharing; and civil contingency planning and emergency management.
Book Synopsis Risk Analysis and Uncertainty in Flood Damage Reduction Studies by : National Research Council
Download or read book Risk Analysis and Uncertainty in Flood Damage Reduction Studies written by National Research Council and published by National Academies Press. This book was released on 2000-11-20 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reducing flood damage is a complex task that requires multidisciplinary understanding of the earth sciences and civil engineering. In addressing this task the U.S. Army Corps of Engineers employs its expertise in hydrology, hydraulics, and geotechnical and structural engineering. Dams, levees, and other river-training works must be sized to local conditions; geotechnical theories and applications help ensure that structures will safely withstand potential hydraulic and seismic forces; and economic considerations must be balanced to ensure that reductions in flood damages are proportionate with project costs and associated impacts on social, economic, and environmental values. A new National Research Council report, Risk Analysis and Uncertainty in Flood Damage Reduction Studies, reviews the Corps of Engineers' risk-based techniques in its flood damage reduction studies and makes recommendations for improving these techniques. Areas in which the Corps has made good progress are noted, and several steps that could improve the Corps' risk-based techniques in engineering and economics applications for flood damage reduction are identified. The report also includes recommendations for improving the federal levee certification program, for broadening the scope of flood damage reduction planning, and for improving communication of risk-based concepts.
Book Synopsis Advances in Data-based Approaches for Hydrologic Modeling and Forecasting by : Bellie Sivakumar
Download or read book Advances in Data-based Approaches for Hydrologic Modeling and Forecasting written by Bellie Sivakumar and published by World Scientific. This book was released on 2010 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each stochastic methods, parameter estimation techniques, scaling and fractal methods, remote sensing, artificial neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos methods. These approaches are chosen to address a wide range of hydrologic system characteristics, processes, and the associated problems. Each of these eight approaches includes a comprehensive review of the fundamental concepts, their applications in hydrology, and a discussion on potential future directions.
Book Synopsis Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling by : NAGENDRA. KAYASTHA
Download or read book Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling written by NAGENDRA. KAYASTHA and published by CRC Press. This book was released on 2018-09-27 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the complexity of hydrological systems a single model may be unable to capture the full range of a catchment response and accurately predict the streamflows. A solution could be the in use of several specialized models organized in the so-called committees. Refining the committee approach is one of the important topics of this study, and it is demonstrated that it allows for increased predictive capability of models. Another topic addressed is the prediction of hydrologic models' uncertainty. The traditionally used Monte Carlo method is based on the past data and cannot be directly used for estimation of model uncertainty for the future model runs during its operation. In this thesis the so-called MLUE (Machine Learning for Uncertainty Estimation) approach is further explored and extended; in it the machine learning techniques (e.g. neural networks) are used to encapsulate the results of Monte Carlo experiments in a predictive model that is able to estimate uncertainty for the future states of the modelled system. Furthermore, it is demonstrated that a committee of several predictive uncertainty models allows for an increase in prediction accuracy. Catchments in Nepal, UK and USA are used as case studies. In flood modelling hydrological models are typically used in combination with hydraulic models forming a cascade, often supported by geospatial processing. For uncertainty analysis of flood inundation modelling of the Nzoia catchment (Kenya) SWAT hydrological and SOBEK hydrodynamic models are integrated, and the parametric uncertainty of the hydrological model is allowed to propagate through the model cascade using Monte Carlo simulations, leading to the generation of the probabilistic flood maps. Due to the high computational complexity of these experiments, the high performance (cluster) computing framework is designed and used. This study refined a number of hydroinformatics techniques, thus enhancing uncertainty-based hydrological and integrated modelling.
Book Synopsis Modelling Uncertainty in Flood Forecasting Systems by : Shreedhar Maskey
Download or read book Modelling Uncertainty in Flood Forecasting Systems written by Shreedhar Maskey and published by . This book was released on 2004 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:
