Spatiotemporal Analysis of Extreme Hydrological Events PDF Download
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Author: Gerald Corzo
Publisher: Elsevier
ISBN: 0128117311
Category : Science
Languages : en
Pages : 194
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Book Description
Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest developments and methodologies for analyzing and understanding extreme environmental and hydrological events. The book addresses the topic using spatio-temporal methods, such as space-time geostatistics, machine learning, statistical theory, hydrological modelling, neural network and evolutionary algorithms. This important resource for both hydrologists and statisticians interested in the framework of spatial and temporal analysis of hydrological events will provide users with an enhanced understanding of the relationship between magnitude, dynamics and the probability of extreme hydrological events. Presents spatio-temporal processes, including multivariate dynamic modelling Provides varying methodological approaches, giving the readers multiple hydrological modelling information to use in their work Includes a variety of case studies making the context of the book relatable to everyday working situations
Author: Gerald Corzo
Publisher: Elsevier
ISBN: 0128117311
Category : Science
Languages : en
Pages : 194
Get Book
Book Description
Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest developments and methodologies for analyzing and understanding extreme environmental and hydrological events. The book addresses the topic using spatio-temporal methods, such as space-time geostatistics, machine learning, statistical theory, hydrological modelling, neural network and evolutionary algorithms. This important resource for both hydrologists and statisticians interested in the framework of spatial and temporal analysis of hydrological events will provide users with an enhanced understanding of the relationship between magnitude, dynamics and the probability of extreme hydrological events. Presents spatio-temporal processes, including multivariate dynamic modelling Provides varying methodological approaches, giving the readers multiple hydrological modelling information to use in their work Includes a variety of case studies making the context of the book relatable to everyday working situations
Author: Assefa M. Melesse
Publisher: Elsevier
ISBN: 0128159995
Category : Science
Languages : en
Pages : 580
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Book Description
Extreme Hydrology and Climate Variability: Monitoring, Modelling, Adaptation and Mitigation is a compilation of contributions by experts from around the world who discuss extreme hydrology topics, from monitoring, to modeling and management. With extreme climatic and hydrologic events becoming so frequent, this book is a critical source, adding knowledge to the science of extreme hydrology. Topics covered include hydrometeorology monitoring, climate variability and trends, hydrological variability and trends, landscape dynamics, droughts, flood processes, and extreme events management, adaptation and mitigation. Each of the book's chapters provide background and theoretical foundations followed by approaches used and results of the applied studies. This book will be highly used by water resource managers and extreme event researchers who are interested in understanding the processes and teleconnectivity of large-scale climate dynamics and extreme events, predictability, simulation and intervention measures. Presents datasets used and methods followed to support the findings included, allowing readers to follow these steps in their own research Provides variable methodological approaches, thus giving the reader multiple hydrological modeling information to use in their work Includes a variety of case studies, thus making the context of the book relatable to everyday working situations for those studying extreme hydrology Discusses extreme event management, including adaption and mitigation
Author: Vitali Diaz Mercado
Publisher: CRC Press
ISBN: 100061283X
Category : Science
Languages : en
Pages : 135
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Book Description
Studies of drought have increased in light of new data availability and advances in spatio-temporal analysis. However, the following gaps still need to be filled: 1) methods to characterise drought that explicitly consider its spatio-temporal features, such as spatial extent (area) and pathway; 2) methods to monitor and predict drought that include the above-mentioned characteristics and 3) approaches for visualising and analysing drought characteristics to facilitate interpretation of its variation. This research aims to explore, analyse and propose improvements to the spatio-temporal characterisation of drought. Outcomes provide new perspectives towards better prediction. The following objectives were proposed. 1) Improve the methodology for characterising drought based on the phenomenon’s spatial features. 2) Develop a visual approach to analysing drought variations. 3) Develop a methodology for spatial drought tracking. 4) Explore machine learning (ML) techniques to predict crop-yield responses to drought. The four objectives were addressed and results are presented. Finally, a scope was formulated for integrating ML and the spatio-temporal analysis of drought. Proposed scope opens a new area of potential for drought prediction (i.e. predicting spatial drought tracks and areas). It is expected that the drought tracking and prediction method will help populations cope with drought and its severe impacts.
Author: Lars Gottschalk
Publisher: IAHS Press
ISBN: 9781901502855
Category : Drought forecasting
Languages : en
Pages : 332
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Book Description
Author: Zbigniew Kundzewicz
Publisher:
ISBN:
Category : Climatic extremes
Languages : en
Pages : 486
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Book Description
Author: O.F. Vasiliev
Publisher: Springer Science & Business Media
ISBN: 1402057415
Category : Technology & Engineering
Languages : en
Pages : 497
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Book Description
This book addresses the development of advanced methods for the prediction, the estimation of occurrence probabilities and the risk related to extreme hydrological events. It also discusses the reduction of the vulnerability of social, economic, and engineering systems to extreme hydrologic events and the decrease of their effects on such systems.
Author: Victor Ongoma
Publisher: Elsevier
ISBN: 0323904203
Category : Science
Languages : en
Pages : 302
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Book Description
Climate Impacts on Extreme Weather: Current to Future Changes on a Local to Global Scale presents fundamentals and advances in the science of weather and climate extremes, building on the existing knowledge by using regional and global case studies. The book provides an analysis of historical and future changes, physical processes, measurements, space-time variability, socioeconomic impact, and risk management. It provides policy makers, researchers and students working in climate change with a thorough reference for understanding the diverse impacts of extreme weather and climate change on varying geographic scales. With contributions from experts across the globe, the book utilizes methods, case studies, modeling, and analysis to present valuable, up-to-date knowledge about the interaction of climate change, weather and the many implications of the changing environment. Offers comprehensive, up-to-date coverage of climate research related to extremes Includes both regional and global case studies for applying research to practice, providing a deeper understanding of the science Presents both observed and projected findings using primary research and models
Author: Gerald A. Corzo Perez
Publisher: John Wiley & Sons
ISBN: 1119639344
Category : Science
Languages : en
Pages : 483
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Book Description
Advanced Hydroinformatics Advanced Hydroinformatics Machine Learning and Optimization for Water Resources The rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts. Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources presents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management. Volume Highlights Include: Overview of the application of artificial intelligence and machine learning techniques in hydroinformatics Advances in modeling hydrological systems Different data analysis methods and models for forecasting water resources New areas of knowledge discovery and optimization based on using machine learning techniques Case studies from North America, South America, the Caribbean, Europe, and Asia The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.
Author: Yanlai Zhou
Publisher: IWA Publishing
ISBN: 9781789063615
Category : Science
Languages : en
Pages : 0
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Book Description
This book focuses on climate change and hydrological extremes, i.e. droughts and floods, which are globally important natural hazards with associated costly impacts on society and the environment. Floods and droughts result from the superposition of different processes at various space and time scales: physical processes in the atmosphere, catchments, the river systems, and anthropogenic activities. However, the characteristics of hydrological extremes have been altered due to climate change and variability, such that approaches for their detection, attribution, and the frequency of occurrence need to be revisited as they are no longer stationary processes. For more accurate estimation of hydrological extremes under nonstationary and uncertain conditions, there is a need for holistic assessments. Time–frequency analysis, hydrological modeling, physical-cause analysis, multivariate statistical analysis, and uncertainty analysis are powerful tools for detecting, attributing, and making frequency analysis of nonstationary hydrological extremes in a changing climate. Both nonstationarity and uncertainty of frequency analysis of extreme hydrological events should be integrated to reveal the possible operational alternatives to the assumption of stationarity in hydrological extremes frequency analysis. In Focus – a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector.
Author: P. V. Timbadiya
Publisher: Springer Nature
ISBN: 9811991472
Category : Science
Languages : en
Pages : 551
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Book Description
This book comprises the proceedings of the 26th International Conference on Hydraulics, Water Resources and Coastal Engineering (HYDRO 2021) focusing on broad spectrum of emerging opportunities and challenges in the field of hydrology and hydrological modelling. It covers a range of topics, including, but not limited to, ground water modelling and management, integrated water resources and watershed management, surface water hydrology, drought assessment and mitigation, risk, reliability and design of hydrologic system, etc. Presenting recent advances in the form of illustrations, tables, and text, it offers readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the field of hydrology and hydrological modelling, making it a valuable resource for both beginners and researchers wanting to further their understanding of hydraulics, water resources and coastal engineering.
