Monitoring drought’s slow evolution and identifying the end of a drought is still a big challenge for scientists, natural resource managers, and decision makers. This comprehensive two-volume set with contributions from over 200 experts, and featuring case studies representing numerous countries throughout the world, discusses different aspects of drought from types, indices, and forecasting to monitoring, modeling, and mitigation measures. It also addresses how climate change is impacting drought and decision-making concluding with lessons learned about science, policy, and managing uncertainty. Features: Provides a global perspective on drought prediction and management and a synthesis of the recent state of knowledge. Covers a wide range of topics from essential concepts and advanced techniques for forecasting and modeling drought to societal impacts, consequences, and planning Presents numerous case studies with different management approaches from different regions and countries. Addresses how climate change impacts drought, the increasing challenges associated with managing drought, decision making, and policy implications. Includes contributions from hundreds of experts around the world. Professionals, researchers, academics, and postgraduate students with knowledge in Environmental Sciences, Ecology, Agriculture, Forestry, Hydrology, Water Resources Engineering, and Earth Sciences, as well as those interested in how climate change impacts drought management, will gain new insights from the experts featured in this two-volume handbook.

Most complex physical phenomena can be described by nonlinear equations, specifically, differential equations. In water engineering, nonlinear differential equations play a vital role in modeling physical processes. Analytical solutions to strong nonlinear problems are not easily tractable, and existing techniques are problem-specific and applicable for specific types of equations. Exploring the concept of homotopy from topology, different kinds of homotopy-based methods have been proposed for analytically solving nonlinear differential equations, given by approximate series solutions. Homotopy-Based Methods in Water Engineering attempts to present the wide applicability of these methods to water engineering problems. It solves all kinds of nonlinear equations, namely algebraic/transcendental equations, ordinary differential equations (ODEs), systems of ODEs, partial differential equations (PDEs), systems of PDEs, and integro-differential equations using the homotopy-based methods. The content of the book deals with some selected problems of hydraulics of open-channel flow (with or without sediment transport), groundwater hydrology, surface-water hydrology, general Burger’s equation, and water quality. Features: Provides analytical treatments to some key problems in water engineering Describes the applicability of homotopy-based methods for solving nonlinear equations, particularly differential equations Compares different approaches in dealing with issues of nonlinearity

Due to increasing population, decreased cultivable land, and mounting scarcity of water, it is essential to optimize the use of available resources. Climate change is occurring across the world but its effect may be local or region-specific, including localized watershed management. In order to minimize these effects, governments and environmental agencies encourage the adoption of "climate-smart" agricultural technologies, which involve implementing plans, programs, and projects to sustain and enhance watersheds. Natural ecosystems, in their altered states, have always been relied upon to support the continuity of agricultural production and ecosystem services, such as flood and erosion control, mediation of water quality, stream flow regulation, microclimate regulation, and biodiversity in its various forms. According to the Food and Agriculture Organization of the United Nations, the adoption of these sustainable water management practices has resulted in savings of water and energy as well as a reduction of carbon emissions, decreased erosion, increased organic matter content and biotic activity in soils, increased crop-water availability and thus resilience to drought, improved recharge of aquifers, and reduced impact of the variability in weather due to climate change. Advances in Water Management Under Climate Change examines all of these issues and provides best practices for sustainability. Features: Presents the latest research in hydrology, hydraulics, water resources engineering, and agricultural best practices Examines water management practices to best address and ideally mitigate climate change Explains the nexus of agriculture, micro irrigation, AI applications in water management and the impact of climate change on water resources Includes practical examples to present practical insights of water management for climate change mitigation

Provides a global perspective on drought prediction and management and a synthesis of the recent state of knowledge. Covers a wide range of topics from essential concepts and advanced techniques for forecasting and modeling drought to societal impacts, consequences, and planning. Presents numerous case studies with different management approaches from different regions and countries. Addresses how climate change impacts drought, the increasing challenges associated with managing drought, decision making, and policy implications. Includes contributions from hundreds of experts around the world.

Provides a global perspective on drought prediction and management and a synthesis of the recent state of knowledge. Covers a wide range of topics from essential concepts and advanced techniques for forecasting and modeling drought to societal impacts, consequences, and planning Presents numerous case studies with different management approaches from different regions and countries. Addresses how climate change impacts drought, the increasing challenges associated with managing drought, decision making, and policy implications. Includes contributions from hundreds of experts around the world.

Watershed modeling is at the heart of modern hydrology, supplying rich information that is vital to addressing resource planning, environmental, and social problems. Even in light of this important role, many books relegate the subject to a single chapter while books devoted to modeling focus only on a specific area of application. Recognizing the need for a broad, comprehensive overview of the various types of watershed models, renowned experts Singh and Frevert carefully selected several highly popular and useful models to produce this groundbreaking reference. Watershed Models comprises seven sections that encompass 24 models chosen for a variety of characteristics, such as physical bases, mathematical sophistication, comprehensiveness, broad-based applicability, and use of modern tools. After a concise introduction, the book examines the history and evolution of watershed modeling derived from the Stanford Watershed Model along with regional calibration of models. The following six sections explore large watershed, streamflow, water quality, urban watershed, agricultural watershed, and planning and management models. Each chapter contains a wealth of information on model parameters, the strengths of each model for particular purposes, and examples of applications. Offering an up-to-date review of models used worldwide, Watershed Models supplies broad, integrated knowledge necessary for solving the complex and ongoing problems involved in resource and environmental water management.

The over-exploitation of groundwater and marked changes in climate over recent decades has led to unacceptable declines in groundwater resources. Under the likely scarcity of available water resources in the near future, it is critical to quantify and manage the available water resources. With increasing demand for potable water for human consumption, agriculture, and industrial uses, the need to evaluate the groundwater development, management, and productivity of aquifers also increases. Laboratory Manual for Groundwater, Wells, and Pumps serves as a valuable resource and provides a multi-disciplinary overview for academics, administrators, scientists, policymakers, and professionals involved in the managing sustainable groundwater development programs. It includes practical guidance on the measurement of groundwater flow, soil properties, aquifer properties, wells and their design, as well as the latest state-of-the-art information on pumps and their testing, and groundwater modeling. Features: Covers geographic information system-based studies, advanced methodologies, and their applications and groundwater modeling Examines groundwater exploration, planning and designing, and methods for formulating strategies for sustainable management and development Serves as a reference for practitioners on practical applications and frequently occurring issues of ground-water investigations, development, and management.

This textbook provides a comprehensive treatment of irrigation engineering for advanced undergraduates and graduate students. It does not require a background in calculus, hydrology, or hydraulics, offering a one-stop overview of the entire field of study. It includes everything a student of irrigation engineering needs to know: concepts of climate, soils, crops, water quality, hydrology, and hydraulics, as well as their application to design and environmental management. To demonstrate the practical applications of the theories discussed, there are over 300 worked examples and end-of chapter exercises. The exercises allow readers to solve real-world problems and apply the information they've learned to a diverse range of scenarios. To further prepare students for their future careers, each chapter includes many illustrative diagrams and tables containing data to help design irrigation systems. For instructors' use when planning and teaching, a solutions manual can be found online alongside a suite of PowerPoint lecture slides.

Illustrates applications of plastic in protected cultivation, water management, aquiculture and in high-tech horticulture using innovative technologies to enhance water use efficiency and crop productivity Presents precision farming for climate-resilient technologies Includes real-world examples to present practical insights of plastic engineering for climate change mitigation strategies.

Your Guide to Effective Groundwater Management Groundwater Assessment, Modeling, and Management discusses a variety of groundwater problems and outlines the solutions needed to sustain surface and ground water resources on a global scale. Contributors from around the world lend their expertise and provide an international perspective on groundwater management. They address the management of groundwater resources and pollution, waste water treatment methods, and the impact of climate change on groundwater and water availability (specifically in arid and semi-arid regions such as India and Africa). Incorporating management with science and modeling, the book covers all areas of groundwater resource assessment, modeling, and management, and combines hands-on applications with relevant theory. For Water Resource Managers and Decision Makers The book describes techniques for the assessment of groundwater potential, pollution, prevention, and remedial measures, and includes a new approach for groundwater modeling based on connections (network theory). Approximately 30 case studies and six hypothetical studies are introduced reflecting a range of themes that include: groundwater basics and the derivation of groundwater flow equations, exploration and assessment, aquifer parameterization, augmentation of aquifer, water and environment, water and agriculture, the role of models and their application, and water management policies and issues. The book describes remote sensing (RS) applications, geographical information systems (GIS), and electrical resistivity methods to delineate groundwater potential zones. It also takes a look at: Inverse modeling (pilot-points method) Simulation optimization models Radionuclide migration studies through mass transport modeling Modeling for mapping groundwater potential Modeling for vertical 2-D and 3-D groundwater flow Groundwater Assessment, Modeling, and Management explores the management of water resources and the impact of climate change on groundwater. Expert contributors provide practical information on hydrologic engineering and groundwater resources management for students, researchers, scientists, and other practicing professionals in environmental engineering, hydrogeology, irrigation, geophysics, and environmental science.

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 fluid mechanics and hydraulics. It covers a range of topics, including, but not limited to, experimental and computational fluid mechanics, sediment dynamics, environmental impact assessment of water resources projects, environmental flows, pollutant transport, 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 flood forecasting and hydraulic structures, making it a valuable resource for both beginners and researchers wanting to further their understanding of hydraulics, water resources and coastal engineering.

This volume is an introduction to the role of caste and class in Indian society, meant to emphasize certain important aspects of Indian society such as continuity and change in caste, economic classes, status of women, status of Harijans, village poli-tics, overseas Indians, and casteism and tribalism. Its theoretical interest is to explain the dynamics of social inequalities in Indian society. All but one of the essays are based on research conducted in India. The other is based on research on Indian plantation workers in Sri Lanka, and included here to demonstrate that the concepts of caste and class are relevant to understanding In-dians who have emigrated to overseas countries.

Focuses On an Emerging Field in Water Engineering A broad treatment of the Tsallis entropy theory presented from a water resources engineering point of view, Introduction to Tsallis Entropy Theory in Water Engineering fills a growing need for material on this theory and its relevant applications in the area of water engineering. This self-contained text includes several solved examples, and requires only a basic knowledge of mathematics and probability theory. Divided into four parts, the book begins with a detailed discussion of Tsallis entropy, moves on to hydraulics, expounds on the subject of hydrology, and ends with broad coverage on a wide variety of areas in water engineering. The author addresses: The Tsallis entropy theory for both discrete and continuous variables The procedure for deriving probability distributions One-dimensional velocity distributions Two-dimensional velocity distributions Methods for determining sediment concentration Sediment discharge Stage-discharge rating curve Precipitation variability Infiltration and the derivation of infiltration equations An introduction to soil moisture, soil moisture profiles, and their estimation Flow duration curves The eco-index and indicators of hydrologic alteration (IHA) Measures of redundancy for water distribution networks, and more Introduction to Tsallis Entropy Theory in Water Engineering examines the basic concepts of the Tsallis entropy theory, and considers its current applications and potential for future use. This book advances further research on water engineering, hydrologic sciences, environmental sciences, and water resources engineering as they relate to the Tsallis entropy theory.

Focuses On an Emerging Field in Water Engineering A broad treatment of the Tsallis entropy theory presented from a water resources engineering point of view, Introduction to Tsallis Entropy Theory in Water Engineering fills a growing need for material on this theory and its relevant applications in the area of water engineering. This self-contained text includes several solved examples, and requires only a basic knowledge of mathematics and probability theory. Divided into four parts, the book begins with a detailed discussion of Tsallis entropy, moves on to hydraulics, expounds on the subject of hydrology, and ends with broad coverage on a wide variety of areas in water engineering. The author addresses: The Tsallis entropy theory for both discrete and continuous variables The procedure for deriving probability distributions One-dimensional velocity distributions Two-dimensional velocity distributions Methods for determining sediment concentration Sediment discharge Stage-discharge rating curve Precipitation variability Infiltration and the derivation of infiltration equations An introduction to soil moisture, soil moisture profiles, and their estimation Flow duration curves The eco-index and indicators of hydrologic alteration (IHA) Measures of redundancy for water distribution networks, and more Introduction to Tsallis Entropy Theory in Water Engineering examines the basic concepts of the Tsallis entropy theory, and considers its current applications and potential for future use. This book advances further research on water engineering, hydrologic sciences, environmental sciences, and water resources engineering as they relate to the Tsallis entropy theory.

This volume is an introduction to the role of caste and class in Indian society, meant to emphasize certain important aspects of Indian society such as continuity and change in caste, economic classes, status of women, status of Harijans, village poli-tics, overseas Indians, and casteism and tribalism. Its theoretical interest is to explain the dynamics of social inequalities in Indian society. All but one of the essays are based on research conducted in India. The other is based on research on Indian plantation workers in Sri Lanka, and included here to demonstrate that the concepts of caste and class are relevant to understanding In-dians who have emigrated to overseas countries.

A multitude of processes in hydrology and environmental engineering are either random or entail random components which are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering. A variety of systems are covered, including the Pearson system, Burr system, and systems commonly applied in economics, such as the D'Addario, Dagum, Stoppa, and Esteban systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and the transformations of random variables. The final chapter introduces the genetic theory of frequency distributions. Using real-world data, this book provides a valuable reference for researchers, graduate students, and professionals interested in frequency analysis.

This book provides insights and a capacity to understand the climate change phenomenon, its impact on water resources, and possible remedial measures. The impact of climate change on water resources is a global issue and cause for concern. Water resources in many countries are extremely stressed, and climate change along with burgeoning populations, the rise in living standards, and increasing demand on resources are factors which serve to exacerbate this stress. The chapters provide information on tools that will be useful to mitigate the adverse consequences of natural disasters. Fundamental to addressing these issues is hydrological modelling which is discussed in this book and ways to combat climate change as an important aspect of water resource management.

This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality). Deep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and environmental fields. However, books that specifically focus on applications to these fields are limited. Most of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and their applications to hydrometeorological and environmental studies with real hydrological and environmental data. This book covers the major deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN) as well as the conventional artificial neural network model.

This book explores many recent techniques including ANN, fuzzy logic, hydraulic models and IWRM utilized for integrated water resources management, a real challenge in India for obtaining high irrigation efficiency. The book deals with topics of current interest, such as climate change, floods, drought, and hydrological extremes. The impact of climate change on water resources is drawing worldwide attention these days; for water resources, many countries are already stressed and climate change along with burgeoning population, rising standard of living, and increasing demand are adding to the stress. Further, river basins are becoming less resilient to climatic vagaries. Fundamental to addressing these issues is hydrological modelling which is covered in this book Further, integrated water resources management is vital to ensure water and food security. Integral to the management is groundwater and solute transport. The book encompasses tools that will be useful to mitigate the adverse consequences of natural disasters.

A multitude of processes in hydrology and environmental engineering are either random or entail random components which are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering. A variety of systems are covered, including the Pearson system, Burr system, and systems commonly applied in economics, such as the D'Addario, Dagum, Stoppa, and Esteban systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and the transformations of random variables. The final chapter introduces the genetic theory of frequency distributions. Using real-world data, this book provides a valuable reference for researchers, graduate students, and professionals interested in frequency analysis.

This book provides insights and a capacity to understand the climate change phenomenon, its impact on water resources, and possible remedial measures. The impact of climate change on water resources is a global issue and cause for concern. Water resources in many countries are extremely stressed, and climate change along with burgeoning populations, the rise in living standards, and increasing demand on resources are factors which serve to exacerbate this stress. The chapters provide information on tools that will be useful to mitigate the adverse consequences of natural disasters. Fundamental to addressing these issues is hydrological modelling which is discussed in this book and ways to combat climate change as an important aspect of water resource management.

This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality). Deep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and environmental fields. However, books that specifically focus on applications to these fields are limited. Most of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and their applications to hydrometeorological and environmental studies with real hydrological and environmental data. This book covers the major deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN) as well as the conventional artificial neural network model.

This book presents several complex case studies related to water management and planning in the context of pollution, growing demands, and global climate change in Mexico, but which are also relevant for other countries in Latin America. These concerns are of critical importance for policymakers who are coping with multiple conflicting interests. Water availability in Mexico is polarized, with abundant rainfall and large rivers in the south, and desert-like conditions in the north. The central region, which is the most industrialized, is overpopulated. Mexico City pours millions of cubic meters of "blackwater" into the northern valley daily and receives its clean water from the south. To address these unsustainable conditions, the world's 4th biggest water treatment plant went into operation in 2018. The water infrastructure and governance must satisfy the demands of all sectors, including agricultural, urban, and economic activities. At the same time, water resources are affected by drought, and climate change puts constraints on the supply. As such, regulation and monitoring are important when it comes to adherence to agreed plans and priorities. The book is divided into four sections. 1: Water Availability discusses quantitative aspects, such as supply, methods of calculation, and fracking. 2: Water Quality highlights pollution risks and diagnosis of water resources. 3: Water Allocation examines the sectoral demands and vulnerability due to unsustainable irrigation. 4: Water Governance and Management focuses on laws, urban rules, national parks, planning, and integrated water resources management, among other topics. The chapters include illustrative case studies in Mexico, such as basins, cities, reservoirs, and aquifers, water supply demand assessment, planning, and management.

This book contains two parts. The first part deals with some aspects of irrigation, encompassing farm irrigation systems, landscape gardening, energy assessment for drip irrigation, and micro-sprinklers. The second part is on water resources planning and management. It discusses water crisis, challenges in river health management, water supply systems, salt water intrusion, lake management, water supply demand assessment, integrated water resources management, among other topics. The book will be of interest to researchers and practitioners in the field of water resources, hydrology, environmental resources, agricultural engineering, watershed management, earth sciences, as well as those engaged in natural resources planning and management. Graduate students and those wishing to conduct further research in water and environment and their development and management may find the book to be of value.

This book comprises the select proceedings of the International Conference on Water, Environment, Energy and Society. The book is divided into three parts. The first part deals with some aspects of groundwater focusing on delineation of groundwater zones, spatio-temporal variability of groundwater, and aquifer vulnerability. The second part is on some aspects of groundwater recharge, dealing with recharge sources, management of recharge and recharge technology, change of land use / land cover on groundwater recharge. The concluding part covers groundwater quality, encompassing causes and sources of pollution, leachate migration, river bank filtration, variability of quality, assessment and management of quality. The book will be of interest to researchers and practitioners in the field of water resources, hydrology, environmental resources, agricultural engineering, watershed management, earth sciences, as well as those engaged in natural resources planning and management. Graduate students and those wishing to conduct further research in water and environment and their development and management will also find the book to be of value.