Flood Forecasting Using Machine Learning Methods

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Flood Forecasting Using Machine Learning Methods

Author : Fi-John Chang
Publisher : MDPI
ISBN 13 : 3038975486
Total Pages : 376 pages
Book Rating : 4.0/5 (389 download)

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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.

Application of Machine Learning Techniques to Flood Forecasting in the Upper Reach of the Huai River

Author : Xue Yunpeng
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (637 download)

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Book Synopsis Application of Machine Learning Techniques to Flood Forecasting in the Upper Reach of the Huai River by : Xue Yunpeng

Download or read book Application of Machine Learning Techniques to Flood Forecasting in the Upper Reach of the Huai River written by Xue Yunpeng and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

2021 8th International Conference on Smart Computing and Communications (ICSCC)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781728196886
Total Pages : pages
Book Rating : 4.1/5 (968 download)

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Book Synopsis 2021 8th International Conference on Smart Computing and Communications (ICSCC) by : IEEE Staff

Download or read book 2021 8th International Conference on Smart Computing and Communications (ICSCC) written by IEEE Staff and published by . This book was released on 2021-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The conference will bring together experts from the Smart computing and Communication systems community to discuss the timely issue of smart computing and low energy system design This will provide a forum for sharing insights, experiences and interaction on various aspects of evolving technologies and patterns related to Computer Science, Information Technology, Electronics, and associated Energy Systems The conference provides a platform for not only to the researchers from Asia but also from other continents across the globe, making this conference more international and attractive for participants

Advances in Hydrologic Forecasts and Water Resources Management

Author : Fi-John Chang
Publisher : MDPI
ISBN 13 : 3039368044
Total Pages : 274 pages
Book Rating : 4.0/5 (393 download)

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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.

Advances in Streamflow Forecasting

Author : Priyanka Sharma
Publisher : Elsevier
ISBN 13 : 0128209240
Total Pages : 404 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Advances in Streamflow Forecasting by : Priyanka Sharma

Download or read book Advances in Streamflow Forecasting written by Priyanka Sharma and published by Elsevier. This book was released on 2021-06-20 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Streamflow Forecasting: From Traditional to Modern Approaches covers the three major data-driven approaches of streamflow forecasting including traditional approach of statistical and stochastic time-series modelling with their recent developments, stand-alone data-driven approach such as artificial intelligence techniques, and modern hybridized approach where data-driven models are combined with preprocessing methods to improve the forecast accuracy of streamflows and to reduce the forecast uncertainties. This book starts by providing the background information, overview, and advances made in streamflow forecasting. The overview portrays the progress made in the field of streamflow forecasting over the decades. Thereafter, chapters describe theoretical methodology of the different data-driven tools and techniques used for streamflow forecasting along with case studies from different parts of the world. Each chapter provides a flowchart explaining step-by-step methodology followed in applying the data-driven approach in streamflow forecasting. This book addresses challenges in forecasting streamflows by abridging the gaps between theory and practice through amalgamation of theoretical descriptions of the data-driven techniques and systematic demonstration of procedures used in applying the techniques. Language of this book is kept simple to make the readers understand easily about different techniques and make them capable enough to straightforward replicate the approach in other areas of their interest. This book will be vital for hydrologists when optimizing the water resources system, and to mitigate the impact of destructive natural disasters such as floods and droughts by implementing long-term planning (structural and nonstructural measures), and short-term emergency warning. Moreover, this book will guide the readers in choosing an appropriate technique for streamflow forecasting depending upon the given set of conditions. Contributions from renowned researchers/experts of the subject from all over the world to provide the most authoritative outlook on streamflow forecasting Provides an excellent overview and advances made in streamflow forecasting over the past more than five decades and covers both traditional and modern data-driven approaches in streamflow forecasting Includes case studies along with detailed flowcharts demonstrating a systematic application of different data-driven models in streamflow forecasting, which helps understand the step-by-step procedures

Flood Forecasting Using Artificial Neural Networks

Author : P. Varoonchotikul
Publisher : CRC Press
ISBN 13 : 9781138475076
Total Pages : pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Flood Forecasting Using Artificial Neural Networks by : P. Varoonchotikul

Download or read book Flood Forecasting Using Artificial Neural Networks written by P. Varoonchotikul and published by CRC Press. This book was released on 2017-10-02 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation considers various questions with respect to the effects of salinity on nutrification: what are the main inhibiting factors causing the effects, do all salts have similar effects, what is the maximum acceptable salt level, are ammonia oxidisers or nitrite oxidizers most sensitive to salt stress, can nitrifiers adapt to long term salt stress and are some specific nitrifiers more resistant to salt stress than others? Research was carried out at laboratory scale and in full-scale plants and modelling was employed in both phases to provide a mathematical description for salt inhibition on nitrification and to facilitate the comparison. The result has led to an improved understanding of the effect of salinity on nitrification. The results can be used to improve the sustainability of the exisisting wastewater treatment plants operated under salt stress.

Flood Forecasting Using Artificial Neural Networks

Author : P Varoonchotikul
Publisher : CRC Press
ISBN 13 : 9789058096319
Total Pages : 102 pages
Book Rating : 4.0/5 (963 download)

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Book Synopsis Flood Forecasting Using Artificial Neural Networks by : P Varoonchotikul

Download or read book Flood Forecasting Using Artificial Neural Networks written by P Varoonchotikul and published by CRC Press. This book was released on 2003-01-01 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Flood disasters continue to occur in many countries in the world and cause tremendous casualties and property damage. To mitigate the effects of floods, a range of structural and non-structural measures have been employed including dykes, channelling, flood-proofing property, land-use regulation and flood warning schemes. Such schemes can include the use of Artificial Neural Networks (ANN) for modelling the rainfall run-off process as it is a quick and flexible approach which gives very promising results. However, the inability of ANN to extrapolate beyond the limits of the training range is a serious limitation of the method, and this book examines ways of side-stepping or solving this complex issue.

Clouds and Climate

Author : A. Pier Siebesma
Publisher : Cambridge University Press
ISBN 13 : 1107061075
Total Pages : 421 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Clouds and Climate by : A. Pier Siebesma

Download or read book Clouds and Climate written by A. Pier Siebesma and published by Cambridge University Press. This book was released on 2020-08-20 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive overview of research on clouds and their role in our present and future climate, for advanced students and researchers.

Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies

Author : Murugan, Thangavel
Publisher : IGI Global
ISBN 13 : 1668481472
Total Pages : 649 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies by : Murugan, Thangavel

Download or read book Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies written by Murugan, Thangavel and published by IGI Global. This book was released on 2023-09-21 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disruptive innovations are now propelling Industry 4.0 (I4.0) and presenting new opportunities for value generation in all major industry segments. I4.0 technologies' innovations in cybersecurity and data science provide smart apps and services with accurate real-time monitoring and control. Through enhanced access to real-time information, it also aims to increase overall effectiveness, lower costs, and increase the efficiency of people, processes, and technology. The Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies discusses the technological foundations of cybersecurity and data science within the scope of the I4.0 landscape and details the existing cybersecurity and data science innovations with I4.0 applications, as well as state-of-the-art solutions with regard to both academic research and practical implementations. Covering key topics such as data science, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, computer scientists, scholars, researchers, academicians, practitioners, instructors, and students.

A Safer Future

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309045460
Total Pages : 85 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis A Safer Future by : National Research Council

Download or read book A Safer Future written by National Research Council and published by National Academies Press. This book was released on 1991-02-01 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: Initial priorities for U.S. participation in the International Decade for Natural Disaster Reduction, declared by the United Nations, are contained in this volume. It focuses on seven issues: hazard and risk assessment; awareness and education; mitigation; preparedness for emergency response; recovery and reconstruction; prediction and warning; learning from disasters; and U.S. participation internationally. The committee presents its philosophy of calls for broad public and private participation to reduce the toll of disasters.

Deep Learning for Time Series Forecasting

Author : Jason Brownlee
Publisher : Machine Learning Mastery
ISBN 13 :
Total Pages : 572 pages
Book Rating : 4./5 ( download)

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Book Synopsis Deep Learning for Time Series Forecasting by : Jason Brownlee

Download or read book Deep Learning for Time Series Forecasting written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2018-08-30 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality. With clear explanations, standard Python libraries, and step-by-step tutorial lessons you’ll discover how to develop deep learning models for your own time series forecasting projects.

Spatial Modeling in GIS and R for Earth and Environmental Sciences

Author : Hamid Reza Pourghasemi
Publisher : Elsevier
ISBN 13 : 0128156953
Total Pages : 798 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Spatial Modeling in GIS and R for Earth and Environmental Sciences by : Hamid Reza Pourghasemi

Download or read book Spatial Modeling in GIS and R for Earth and Environmental Sciences written by Hamid Reza Pourghasemi and published by Elsevier. This book was released on 2019-01-18 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Flood-frequency Analyses

Author : Tate Dalrymple
Publisher :
ISBN 13 :
Total Pages : 90 pages
Book Rating : 4.3/5 (121 download)

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Book Synopsis Flood-frequency Analyses by : Tate Dalrymple

Download or read book Flood-frequency Analyses written by Tate Dalrymple and published by . This book was released on 1960 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Cybernetics, Cognition and Machine Learning Applications

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 9811516324
Total Pages : 315 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Cybernetics, Cognition and Machine Learning Applications by : Vinit Kumar Gunjan

Download or read book Cybernetics, Cognition and Machine Learning Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2020-04-20 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2019), which was held in Goa, India, on 16–17 August 2019. It covers the latest research trends and advances in the areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber-physical systems, and cybernetics.

Flood Hydrology

Author : V.P. Singh
Publisher : Springer Science & Business Media
ISBN 13 : 9400939574
Total Pages : 424 pages
Book Rating : 4.4/5 (9 download)

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Book Synopsis Flood Hydrology by : V.P. Singh

Download or read book Flood Hydrology written by V.P. Singh and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Floods constitute a persistent and serious problem throughout the United States and many other parts of the world. They are responsible for losses amounting to billions of dollars and scores of deaths annually. Virtually all parts of the nation--coastal, moun tainous and rural--are affected by them. Two aspects of the problem of flooding that have long been topics of scientific inquiry are flood frequency and risk analyses. Many new, even improved, tech niques have recently been developed for performing these analyses. Nevertheless, actual experience points out that the frequency of say a 100-year flood, in lieu of being encountered on the average once in one hundred years, may be as little as once in 25 years. It is therefore appropriate to pause and ask where we are, where we are going and where we ought to be going with regard to the technology of flood frequency and risk analyses. One way to address these ques tions is to provide a forum where people from all quarters of the world can assemble, discuss and share their experience and expertise pertaining to flood frequency and risk analyses. This is what con stituted the motivation for organizing the International Symposium on Flood Frequency and Risk Analyses held May 14-17, 1986, at Louisiana State University, Baton Rouge, Louisiana.

Feature Engineering for Machine Learning

Author : Alice Zheng
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491953195
Total Pages : 218 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Feature Engineering for Machine Learning by : Alice Zheng

Download or read book Feature Engineering for Machine Learning written by Alice Zheng and published by "O'Reilly Media, Inc.". This book was released on 2018-03-23 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering. Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples. You’ll examine: Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms Natural text techniques: bag-of-words, n-grams, and phrase detection Frequency-based filtering and feature scaling for eliminating uninformative features Encoding techniques of categorical variables, including feature hashing and bin-counting Model-based feature engineering with principal component analysis The concept of model stacking, using k-means as a featurization technique Image feature extraction with manual and deep-learning techniques

Statistical Postprocessing of Ensemble Forecasts

Author : Stéphane Vannitsem
Publisher : Elsevier
ISBN 13 : 012812248X
Total Pages : 362 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Statistical Postprocessing of Ensemble Forecasts by : Stéphane Vannitsem

Download or read book Statistical Postprocessing of Ensemble Forecasts written by Stéphane Vannitsem and published by Elsevier. This book was released on 2018-05-17 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Postprocessing of Ensemble Forecasts brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical postprocessing of ensemble forecasts. The book illustrates the use of these methods in several important applications including weather, hydrological and climate forecasts, and renewable energy forecasting. After an introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for statistical postprocessing of ensemble forecasts: univariate and multivariate ensemble postprocessing are first reviewed by Wilks (Chapters 3), then Schefzik and Möller (Chapter 4), and the more specialized perspective necessary for postprocessing forecasts for extremes is presented by Friederichs, Wahl, and Buschow (Chapter 5). The second section concludes with a discussion of forecast verification methods devised specifically for evaluation of ensemble forecasts (Chapter 6 by Thorarinsdottir and Schuhen). The third section of this book is devoted to applications of ensemble postprocessing. Practical aspects of ensemble postprocessing are first detailed in Chapter 7 (Hamill), including an extended and illustrative case study. Chapters 8 (Hemri), 9 (Pinson and Messner), and 10 (Van Schaeybroeck and Vannitsem) discuss ensemble postprocessing specifically for hydrological applications, postprocessing in support of renewable energy applications, and postprocessing of long-range forecasts from months to decades. Finally, Chapter 11 (Messner) provides a guide to the ensemble-postprocessing software available in the R programming language, which should greatly help readers implement many of the ideas presented in this book. Edited by three experts with strong and complementary expertise in statistical postprocessing of ensemble forecasts, this book assesses the new and rapidly developing field of ensemble forecast postprocessing as an extension of the use of statistical corrections to traditional deterministic forecasts. Statistical Postprocessing of Ensemble Forecasts is an essential resource for researchers, operational practitioners, and students in weather, seasonal, and climate forecasting, as well as users of such forecasts in fields involving renewable energy, conventional energy, hydrology, environmental engineering, and agriculture. Consolidates, for the first time, the methodologies and applications of ensemble forecasts in one succinct place Provides real-world examples of methods used to formulate forecasts Presents the tools needed to make the best use of multiple model forecasts in a timely and efficient manner