Ramesh S.V. Teegavarapu – författare

The book provides an overview of climate change-sensitive water resources management with consideration of adaptation approaches, the assessment of climate change impacts, current contemporary management techniques, and ecological responses. Comprehensive assessments and studies from eight countries using innovative approaches that aid water management under evolving climates are documented. Topics ranging from hydrologic design to management and policy responses to climate change are discussed, which demonstrate updated theories that highlight methods, tools, and experiences on the topic of water resources under climate change. The generic approaches discussed, and their applications to different climate change-related problems, make this book appealing to a global readership. The practical and applied methodologies presented in the book and through insightful case studies discussed will provide readers worldwide with ready-to-use information to manage water resources sustainably under evolving climate. This book is ideally suited for water resource managers, scientists, professionals from water management agencies, graduate students, and national laboratory agencies responsible for water and environmental management.

The book provides an overview of climate change-sensitive water resources management with consideration of adaptation approaches, the assessment of climate change impacts, current contemporary management techniques, and ecological responses. Comprehensive assessments and studies from eight countries using innovative approaches that aid water management under evolving climates are documented. Topics ranging from hydrologic design to management and policy responses to climate change are discussed, which demonstrate updated theories that highlight methods, tools, and experiences on the topic of water resources under climate change. The generic approaches discussed, and their applications to different climate change-related problems, make this book appealing to a global readership. The practical and applied methodologies presented in the book and through insightful case studies discussed will provide readers worldwide with ready-to-use information to manage water resources sustainably under evolving climate. This book is ideally suited for water resource managers, scientists, professionals from water management agencies, graduate students, and national laboratory agencies responsible for water and environmental management.

Dynamic Simulation and Virtual Reality in Hydrology and Water Resources Management focuses on the understanding, use, and application of system dynamics simulation and virtual reality approaches for modeling the spatial and temporal behavior of natural and managed hydro-environmental systems.

The book discusses concepts of systems thinking and system dynamics approach, and it furthers understanding of the dynamic behavior of natural and engineering systems using feedbacks and dynamic simulation. Numerous examples of models built using different system dynamics simulation modeling environments are provided. It also introduces concepts related to computer animation and virtual reality–based immersive modeling. Applications of systems dynamics, simulation with animation, and virtual reality approaches for modeling and management of hydro-environmental systems are illustrated through case studies.

This text is ideal for water resources professionals, graduate students, hydrologic modelers, and engineers who are interested in systems thinking, dynamic simulation, and virtual reality modeling approaches. It will serve as a valuable reference for engineering professionals who model, manage, and operate hydrosystems. Engineering educators will find the book immensely useful to enhance the learning experiences of students.

Dr. Ramesh S. V. Teegavarapu

Dr. Chandramouli V. Chandramouli is a professor at Purdue University Northwest. His expertise is in water resources and environmental modeling integrating artificial intelligence techniques.

Dynamic Simulation and Virtual Reality in Hydrology and Water Resources Management focuses on the understanding, use, and application of system dynamics simulation and virtual reality approaches for modeling the spatial and temporal behavior of natural and managed hydro-environmental systems.

The book discusses concepts of systems thinking and system dynamics approach, and it furthers understanding of the dynamic behavior of natural and engineering systems using feedbacks and dynamic simulation. Numerous examples of models built using different system dynamics simulation modeling environments are provided. It also introduces concepts related to computer animation and virtual reality–based immersive modeling. Applications of systems dynamics, simulation with animation, and virtual reality approaches for modeling and management of hydro-environmental systems are illustrated through case studies.

This text is ideal for water resources professionals, graduate students, hydrologic modelers, and engineers who are interested in systems thinking, dynamic simulation, and virtual reality modeling approaches. It will serve as a valuable reference for engineering professionals who model, manage, and operate hydrosystems. Engineering educators will find the book immensely useful to enhance the learning experiences of students.

Dr. Ramesh S. V. Teegavarapu

Dr. Chandramouli V. Chandramouli is a professor at Purdue University Northwest. His expertise is in water resources and environmental modeling integrating artificial intelligence techniques.

Missing data is a ubiquitous problem that plagues many hydrometeorological datasets. Objective and robust spatial and temporal imputation methods are needed to estimate missing data and create error-free, gap-free, and chronologically continuous data. This book is a comprehensive guide and reference for basic and advanced interpolation and data-driven methods for imputing missing hydrometeorological data. The book provides detailed insights into different imputation methods, such as spatial and temporal interpolation, universal function approximation, and data mining-assisted imputation methods. It also introduces innovative spatial deterministic and stochastic methods focusing on the objective selection of control points and optimal spatial interpolation. The book also extensively covers emerging machine learning techniques that can be used in spatial and temporal interpolation schemes and error and performance measures for assessing interpolation methods and validating imputed data. The book demonstrates practical applications of these methods to real-world hydrometeorological data. It will cater to the needs of a broad spectrum of audiences, from graduate students and researchers in climatology and hydrological and earth sciences to water engineering professionals from governmental agencies and private entities involved in the processing and use of hydrometeorological and climatological data.

This book discusses different aspects of water resources, ranging from hydrology and modeling to management and policy responses. Climate changes and the uncertainty of future hydrological regimes make sustainable water resources management a difficult task, requiring a set of approaches that address climate variability and change. The book focuses on three main themes: hydrological changes, adaptive decision-making for water resources, and institutional analysis and risk management. It discusses the applications and limitations of climate change models and scenarios related to precipitation projection, which predicts to the future availability of water. It also offers interesting examples from around the globe to describe the policy options for dealing with climate change. Addressing emerging issues that need to be resolved and techniques that can be applied for sustainable climate-change-sensitive water resources protection and management, this practical, state-of-the-art reference book is a valuable resource for researchers, students and professionals interested in sustainable water resources management in a changing climate.