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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
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
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.
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
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.
The Mediterranean region contains a diverse and interesting climate ranging from areas with permanent glaciers to areas of subtropical, semiarid regions. The region is potentially sensitive to climate change and its progress has environmental, social, and economic implications within and beyond the region. Produced by the Mediterranean Climate Variability and Predictability Research Networking Project, this book reviews the evolution of the Mediterranean climate over the past two millennia with projections further into the twenty-first century as well as examining in detail various aspects of the Mediterranean region's climate including evolution, atmospheric variables, and oceanic and land elements. Integrated with this, the book also considers the social and economic problems or vulnerabilities associated with the region. Written and reviewed by multiple researchers to ensure a high level of information presented clearly, Mediterranean Climate Variables will be an invaluable source of information for geologists, oceanographers, and anyone interested in learning more about the Mediterranean climate. Written by leading experts in the field Presents clear, compelling, and concise evidence Includes the latest thinking in Mediterranean climate research
Climate Change and Extreme Events uses a multidisciplinary approach to discuss the relationship between climate change-related weather extremes and their impact on human lives. Topics discussed are grouped into four major sections: weather parameters, hydrological responses, mitigation and adaptation, and governance and policies, with each addressed with regard to past, present and future perspectives. Sections give an overview of weather parameters and hydrological responses, presenting current knowledge and a future outlook on air and stream temperatures, precipitation, storms and hurricanes, flooding, and ecosystem responses to these extremes. Other sections cover extreme weather events and discuss the role of the state in policymaking. This book provides a valuable interdisciplinary resource to climate scientists and meteorologists, environmental researchers, and social scientists interested in extreme weather. - Provides an integrated interdisciplinary approach to how climate change impacts the hydrological system - Addresses significant knowledge gaps in our understanding of climate change and extreme events - Discusses the societal impacts of climate change-related weather extremes, including multilevel governance and adaptation policy
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.
Precipitation: Earth Surface Responses and Processes provides readers with a general and indispensable overview of processing rainfall processes through radar techniques, numerical models, geostatistical tools, photogrammetric methods, plots, indexes of connectivity or rainfall simulations. The handbook follows a clear and consistent format, and is structured as follows: Introduction (State-of-the-Art); Part 1. Rainfall and climate/atmosphere; Part 2. Models and applications; Part 3. Rainfall as a key actor playing the main role affecting different ecosystems. Part 3: Rainfall affecting the earth surface from different scales and landforms; Part 4: Rainfall and stormwater quality management in urban and rural areas. Precipitation is a key factor needed for understanding landscape evolution and ecosystem services. Knowing the main precipitation composition, mechanisms and processes allows for efficient land management plans and ecosystem restoration activities. However, precipitation shows different responses under specific environments depending on the climate (from the arid to the polar areas), parent material, scale (from the raindrops to catchment scale), intensity, landscape morphologies (soil sealing, rills, gullies or rivers) or human activities (agriculture or urban areas). Precipitation: Earth Surface Responses and Processes bring this information together and provides indispensable material in a holistic manner for students, scientists and lecturers from different environmental disciplines such as climatology, meteorology, geomorphology, hydrology, soil science, geography, engineering, or ecology. - Includes observations on a range of earth surface processes, from climate to coastal marine ecosystems - Presents key case studies in each chapter, enhancing the applicability of each chapter - Introduces precipitation as a key factor to understand earth mechanisms and processes
There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time sereies analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In adition, it demonstrates the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad. This book will not only serve as a textbook for the students and teachers in water resources engineering but will also serve as the most comprehensive reference to educate researchers/scientists about the theory and practice of time series analysis in hydrological sciences. This book will be very useful to the students, researchers, teachers and professionals involved in water resources, hydrology, ecology, climate change, earth science, and environmental studies.