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 is a professor at Florida Atlantic University with expertise in modeling water resources and environmental systems, hydroinformatics, and climate change.Dr. Chandramouli V. Chandramouli is a professor at Purdue University Northwest. His expertise is in water resources and environmental modeling integrating artificial intelligence techniques.

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 is a professor at Florida Atlantic University with expertise in modeling water resources and environmental systems, hydroinformatics, and climate change.Dr. Chandramouli V. Chandramouli is a professor at Purdue University Northwest. His expertise is in water resources and environmental modeling integrating artificial intelligence techniques.

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.

Radar Rainfall Data Estimation and Use, MOP 139, provides a detailed look at the basic philosophy and principles for estimating radar rainfall data and analyzing data. Radar-derived rainfall estimation is one of the most significant recent advances in hydrologic engineering and practice. Manual of Practice 139 provides a framework for researchers and practicing engineers working in hydrologic engineering to develop radar rainfall data sets and analyze them according to their varied goals and resources. This manual will be a valuable resource for government agencies, engineering firms, and practicing engineers working in the hydrologic engineering field. |Radar Rainfall Data Estimation and Use, MOP 139, provides a detailed look at the basic philosophy and principles for estimating radar rainfall data and analyzing data. Radar-derived rainfall estimation is one of the most significant recent advances in hydrologic engineering and practice. Manual of Practice 139 provides a framework for researchers and practicing engineers working in hydrologic engineering to develop radar rainfall data sets and analyze them according to their varied goals and resources. This manual will be a valuable resource for government agencies, engineering firms, and practicing engineers working in the hydrologic engineering field.|Prepared by the Standard Practice on Radar Rainfall Estimation Task Committee of the Environmental and Water Resources Institute of ASCE Radar Rainfall Data Estimation and Use, MOP 139, provides a detailed look at the basic philosophy and principles for estimating and analyzing radar rainfall data and analyzing data. Radar-derived rainfall estimation is one of the most significant recent advances in hydrologic engineering and practice. Rain gauges provide point values of rainfall depth and intensity but are not cost effective in providing information about the spatial distribution of rainfall, whereas radar-derived rainfall data provides a density of measurements that are not obtainable by rain gauges alone. Combining these two sensor systems produces better rainfall estimates that more accurately characterize rainfall across a watershed. This Manual of Practice provides a framework for researchers and practicing engineers working in hydrologic engineering to develop radar rainfall data sets and analyze them according to their varied goals and resources. Topics include An introduction to and examples of radar rainfall estimation, Temporal and spatial characteristics of radar rainfall data, Methodology for radar rainfall data quality evaluation and improvement, Use of radar rainfall data in hydrologic modeling, Rainfall data augmentation and design of rainfall monitoring networks, and Examples of radar rainfall data analysis and data applications. MOP 139 will be a valuable resource for government agencies, a framework for engineering firms, practicing engineers, researchers, and students working in the hydrologic engineering field.

Measurement, analysis and modeling of extreme precipitation events linked to floods is vital in understanding changing climate impacts and variability. This book provides methods for assessment of the trends in these events and their impacts. It also provides a basis to develop procedures and guidelines for climate-adaptive hydrologic engineering. Academic researchers in the fields of hydrology, climate change, meteorology, environmental policy and risk assessment, and professionals and policy-makers working in hazard mitigation, water resources engineering and climate adaptation will find this an invaluable resource. This volume is the first in a collection of four books on flood disaster management theory and practice within the context of anthropogenic climate change. The others are: Floods in a Changing Climate: Hydrological Modeling by P. P. Mujumdar and D. Nagesh Kumar, Floods in a Changing Climate: Inundation Modeling by Giuliano Di Baldassarre and Floods in a Changing Climate: Risk Management by Slodoban Simonovi .

Measurement, analysis and modeling of extreme precipitation events linked to floods is vital in understanding changing climate impacts and variability. This book provides methods for assessment of the trends in these events and their impacts. It also provides a basis to develop procedures and guidelines for climate-adaptive hydrologic engineering. Academic researchers in the fields of hydrology, climate change, meteorology, environmental policy and risk assessment, and professionals and policy-makers working in hazard mitigation, water resources engineering and climate adaptation will find this an invaluable resource. This volume is the first in a collection of four books on flood disaster management theory and practice within the context of anthropogenic climate change. The others are: Floods in a Changing Climate: Hydrological Modeling by P. P. Mujumdar and D. Nagesh Kumar, Floods in a Changing Climate: Inundation Modeling by Giuliano Di Baldassarre and Floods in a Changing Climate: Risk Management by Slodoban Simonovic.

Prepared by the Task Committee on Statistical Applications in Hydrology of the Surface Water Hydrology Technical Committee of the Environmental and Water Resources Institute. Statistical Analysis of Hydrologic Variables: Methods and Applications provides a compilation of state-of-the-art statistical methods for analyzing and describing critical variables that are part of the hydrological cycle. Understanding and describing the variability of hydro-climatological processes and measurements is essential for assessing the performance of water resources infrastructure and its management. Analyzed data provide valuable insights into the dynamics of hydrological processes that represent the hydrological cycle. This knowledge is critical for planning successful and efficient water resources projects, as well as environmental systems management alternatives. This book covers key processes in the hydrological cycle, including: Statistical analysis of precipitation extremes, Evapotranspiration and evaporative demand, Infiltration and soil water, Probability distributions in groundwater hydrology, Modeling streamflow variability, Flood frequency analysis and low flows and droughts, Probabilistic models for urban stormwater management, Analysis of water quality random variables, Multivariate frequency distributions in hydrology, and Hydrologic record events. This valuable resource will assist practicing hydrologists, water resource specialists, researchers, and individuals interested in applications of probabilistic methods in hydrology and water resources.

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.