Spatiotemporal Analysis of Extreme Hydrological Events


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




Extreme Hydrology and Climate Variability


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




Spatio-temporal characterisation of drought: data analytics, modelling, tracking, impact and prediction


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.




Climate Impacts on Extreme Weather


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




Advanced Hydroinformatics


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.




Hydrology and Hydrologic Modelling


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.




Precipitation


Book Description

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




Renewable Energy Scenarios in Future Indian Smart Cities


Book Description

This book presents recent advances in renewable energy scenarios for future Indian smart cities including technologies and devices at the scales of both experimental and theoretical models for Industry 4.0, the concept of automated and computerized industrial manufacturing and practices. The current Indian economy is inclined towards smart urban cities, but the energy deficit in modern society is not well recognized. As a result, there is an enormous need to explore alternative avenues of energy for future smart cities. Because such cities depend significantly on technologies and devices that comprise Industry 4.0, the synthesis of energy scenarios enables an understanding of the technology, applications and devices that contribute immensely to the textile, construction, cosmetics, biomedical and environmental industries, among others. These industrial areas are the key starting points for a wide range of applications, consequently becoming top priorities for science and technology policy development. Such advances already have been adopted in various contemporary services and products, especially in the fields of electronics, health care, chemicals, cosmetics, composites and energy. This book is a valuable resource for practising energy planners, citizens and professionals such as businesspeople, bureaucrats from all levels of government, employees from nongovernmental public organizations and their volunteers and other individuals who have stakes in the development of their city-region.




Random Process Analysis With R


Book Description

Random process analysis (RPA) is used as a mathematical model in physics, chemistry, biology, computer science, information theory, economics, environmental science, and many other disciplines. Over time, it has become more and more important for the provision of computer code and data sets. This book presents the key concepts, theory, and computer code written in R, helping readers with limited initial knowledge of random processes to become confident in their understanding and application of these principles in their own research. Consistent with modern trends in university education, the authors make readers active learners with hands-on computer experiments in R code directing them through RPA methods and helping them understand the underlying logic. Each subject is illustrated with real data collected in experiments performed by the authors or taken from key literature. As a result, the reader can promptly apply the analysis to their own data, making this book an invaluable resource for undergraduate and graduate students, as well as professionals, in physics, engineering, biophysical and environmental sciences, economics, and social sciences.




Ecological Modelling of River-Wetland Systems


Book Description

Around 6% of the Earth's land surface is covered by wetlands. Wetlands play a key role in hydrological and biogeochemical cycles, delivering multiple benefits to society: sources of water supply, flood regulation, water purification, agriculture, fisheries, and biodiversity. Hence, wetland systems are of immense socio-economic as well as ecological importance. In this research, the focus was on the Abras de Mantequilla (AdM) wetland in the tropical coastal region of Ecuador, a RAMSAR site and case study area for the EU-FP7 WETwin project. The research in this thesis involves a combination of field data collection, multivariate analysis techniques, as well as numerical modelling studies. The goal was to explore the effects of changes in hydrological forcing on the hydrodynamic and ecohydraulic responses of the wetland. The study aims to contribute to the understanding of how a tropical river-wetland system functions in terms of hydrodynamics, water quality, primary production, and biotic communities. Spatial patterns of biotic communities and environmental variables are obtained as well as spatio-temporal variability of hydrodynamics, water quality, primary productivity and fish habitat-suitability conditions. In data scarce areas and countries with financial constraints, the combination of field measurements with numerical models was extremely useful and relevant, confirming that these techniques complement each other in obtaining a better understanding of the dynamics of freshwater river–wetland systems. Studies like the present research can be used to enhance awareness about the environmental services of wetlands and stimulate cooperation between all stakeholders in order to achieve more sustainable wetland management.