The damages and hardships caused by floods and flooding remain an issue and are continuously increasing in the Chi River Basin, Thailand. It is difficult to make an accurate assessment of the costs and consequences associated with floods. However, flood hazards can also be seen as an opportunity, a chance to correct possible flaws and ambiguities in the flood management. The Chi River system cannot handle the regularly occurring floods, consequently, flooding of the low-lying areas occurs on a regular basis. Therefore, an integrated flood management framework needs to be developed to minimize the negative effects of floods of different magnitude. In response, a hydrological model (SWAT) and a hydraulic (1D/2D SOBEK) model were integrated to simulate floods in detailed way and to analyse the current system. A reliable simulation of the river flows and inundated areas is an essential component of a holistic flood management plan. The developed modelling framework enabled to analyse the impact of different structural measures such as river normalisation, green river (bypass), and retention basin. In addition, non-structural measures including reservoir operation and spatial land use planning were assessed in their capability to protect people and valuable infrastructure. For each measure, several possible scenarios were tested and evaluated based on economic and technical efficiency criteria to determine the most promising and efficient scenario. However, effective interventions may involve a judicious combination of flood mitigation approaches, rather than reliance on a stand-alone solution. A truly optimum combination of aforesaid measures was then chosen since it could considerably reduce flood extent and its damage. Finally, the study illustrates the effects of land use changes on floods, which indicated little or no significant potential impact on flood regime at river basin level, but rather at sub-basin scale. This finding is important for a better understanding of the scale and direction of impacts of developments in the future. Integrated land use planning was shown to be an essential component of a comprehensive flood management framework.

Data-Driven Modeling: Using MATLAB(r) in Water Resources and Environmental Engineering provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation.
The book presentsthe statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques.
The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB(r) unified platform, can be found on extras.springer.com.
The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering. "

WATER RESOURCES AND ENVIRONMENT provides a detailed introduction to the full range of advanced, multidisciplinary techniques used in the study of water resources from understanding individual aquifers to the protection and management of water in a sustainable way, compatible with the preservation of the environment. Based on a masters course from UNESCO's International Hydrological Program, this textbook is accompanied by color figures and graphics, illustrating clearly the content of the text and showing real examples from the field. Each chapter also contains a list of exercises and practical activities as well as case studies.

This textbook covers the main applications of statistical methods in hydrology. It is written for upper undergraduate and graduate students but can be used as a helpful guide for hydrologists, geographers, meteorologists and engineers. The book is very useful for teaching, as it covers the main topics of the subject and contains many worked out examples and proposed exercises. Starting from simple notions of the essential graphical examination of hydrological data, the book gives a complete account of the role that probability considerations must play during modelling, diagnosis of model fit, prediction and evaluating the uncertainty in model predictions, including the essence of Bayesian application in hydrology and statistical methods under nonstationarity.The book also offers a comprehensive and useful discussion on subjective topics, such as the selection of probability distributions suitable for hydrological variables. On a practical level, it explains MS Excel charting and computing capabilities, demonstrates the use of Winbugs free software to solve Monte Carlo Markov Chain (MCMC) simulations, and gives examples of free R code to solve nonstationary models with nonlinear link functions with climate covariates.

The modeling tool is applied to address water management issues in the case study region (Sharm El Sheikh, South-Sinai, Egypt) that suffers from water shortage and that is located near a unique but sensitive marine environment of high ecological value. The main economic activity in the city is tourism.
The modeling tool box is composed of five types of models depending on the specific site situations: water demand/need model, water supply model, wastewater reuse model, environmental model and economic model. The coupling of the models facilitates assessing different scenarios for integrated water resources management including different time-variant domestic and irrigation water demand, water supply options: long-distance piping and reverse osmosis desalination (RO), potable and non-potable water supply contracts between a hotel and a water company, optimum capacity and expansion for an RO desalination plants, renewable and non-renewable energy sources for RO desalination, and brine disposal options.

This book presents the investigation of possibilities and different architectures of integrating hydrological knowledge and conceptual models with data-driven models for the purpose of hydrological flow forecasting. Models resulting from such integration are referred to as hybrid models. The book addresses the following specific topics:
A classification of different hybrid modelling approaches in the context of flow forecasting.
The methodological development and application of modular models based on clustering and baseflow empirical formulations.
The integration of hydrological conceptual models with neural network error corrector models and the use of committee models for daily streamflow forecasting.
The application of modular modelling and fuzzy committee models to the problem of downscaling weather information for hydrological forecasting.

The results of this research show the increased forecasting accuracy when modular models, which integrate conceptual and data-driven models, are considered. Committee machine modelling show to be able to manage increased lead time with an acceptable accuracy.

This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological models, focusing mainly on the development and testing of two different models. The first focuses on parameter uncertainty analysis by emulating the results of Monte Carlo simulation of hydrological models using efficient machine learning techniques. The second method aims at modelling uncertainty by building an ensemble of specialized machine learning models on the basis of past hydrological modela (TM)s performance. The book then demonstrates the capacity of machine learning techniques for building accurate and efficient predictive models of uncertainty.

Groundwater systems are vital to both society and the environment, supporting food production and many other ecosystem services. Sustainable management of this vital resource for future generations requires a sound understanding of how groundwater might respond to the inevitable changes in future climate. In this volume, recent developments within the interlinked areas of the response of groundwater systems to climate variability and climate change are highlighted, using contemporary field investigations and monitoring of aquifers, numerical simulations of aquifer response to climate change predictions and paleohydrogeological studies of ancient groundwater systems. The book provides an up-to-date description of the relationship between groundwater behaviour and ancient, historical, current and future climates for a range of diverse aquifer systems around the world.

The continuous growth in the demand for water supply and sanitation services has posed decision makers with the challenge to discover new, and to adapt existing, institutions. Since the last two decades, the most prominent institutional change for the water and sanitation sector is neo-liberalism. Neo-liberalism manifests itself in the water sector through privatization, private sector involvement and liberalisation. This book analyses whether neo-liberalism has had an effect on the institutions, the strategies, and the performances of water providers. Strategies are interpreted through what a water provider can do (strategic context), wants to do (strategic plans), and actually does (strategic actions). On the basis of studies in the Netherlands, the Netherlands Antilles, the United Kingdom and Italy, the book concludes that neo-liberal institutional changes matter for the strategies of water providers. However, it also finds that the inherent problems with performance interpretation, measurement and comparison obscure any accurate insight in the effect of neo-liberal institutional changes on performance. In this regard the book opens a window for research both on the relation between institutions and conduct, and between conduct and performance of water and sanitation providers.

This unique book shares the knowledge and experience of experts and scientists who apply high-quality findings and input from their research to issues concerning the management of water resources and their quality in Baltic countries including Poland, Lithuania, Latvia, Germany and Russia. It summarizes the latest results of several systematic investigations, and assesses the occurrence and quality of surface and underground waters within the Baltic countries to help decision-makers plan for sustainable development. The book addresses a range of water resources management issues, especially those that are relevant to the water quality in these Baltic countries. It presents cutting-edge information and findings that can be effectively used to solve a variety of problems in integrated water resources management. Accordingly, it will be of interest to graduate students, researchers, water scientists, professionals, experts and practitioners working in water resources management.

Spatial dimensions need to be properly captured if modeling and engineering techniques are to be successfully applied in addressing environmental problems. The links between the geographical information systems (GIS) that capture this data, simulation modeling, and engineering offer tremendous possibilities for building versatile support systems for managing the environment. GIS, Environmental Modeling and Engineering focuses on using GIS and external models to solve real environmental problems, promoting the critical thinking needed for the effective applications of these systems and their analytical outputs. Divided into three major sections, this textbook first concentrates on defining GIS, identifying how data is structured, and explaining common functionality. The text examines GIS from a technological perspective, exploring the evolution of its scientific basis and its synergies with other technologies within a geocomputational paradigm. The next section explores modeling from a neutral scientific perspective in its role of simulating phenomena, as well as from a more specific perspective in its role within environmental science and engineering. The third and largest section looks at how GIS and simulation modeling are joined. It provides case studies and covers issues such as interoperability, data quality, model validity, space-time dynamics, and decision-support systems. This volume provides seniors and postgraduate students with a structured, coherent text that goes beyond introductory subject matter by enabling readers to think critically about the data acquisition process and the results they get from the technology.

Ungauged catchments can be found in many parts of the world, but particularly in sub-Saharan Africa. Information collected in a gauged catchment and its regionalisation to ungauged areas is crucial for water resources assessment. Especially farmers in semi-arid zones are in need of such information. Inter and Intra-seasonal rainfall variability is large in these areas, and farmers depend more and more on additional surface and groundwater resources for their crop production. As a result, understanding the key-hydrological processes, and determination of the frequencies and magnitudes of stream flows, is very important for local food production. This is particularly true for the ungauged Makanya catchment in Tanzania, which is the subject of this study.

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.

Groundwater is Africa 's most precious natural resource, providing reliable water supplies for many people. Further development of groundwater resources is fundamental to increasing access to safe water across the continent to meet coverage targets and reduce poverty. There is also an increasing interest in the use of groundwater for irrigated agriculture as the climate becomes more variable. Sustainable development of the resource is not a trivial task and depends crucially on an understanding of the hydrogeology and people with the skills to make informed decisions on how groundwater can best be developed and managed in a sustainable fashion. Despite these obvious needs, however, little attention has been paid to the systematic gathering of information about groundwater resources in the past few decades, with the result that data are patchy, knowledge is limited and investment is poorly targeted.
This book was written to start to bridge the knowledge gap. The 29 chapters are written by a combination of practitioners and researchers mainly from within Africa using experience from recent and ongoing projects. The chapters highlight the complexity and variety of issues surrounding the development and management of groundwater resources across Africa, and provide a snapshot of groundwater research and application in the early 21st century. Chapters range from strategic discussions of the role of groundwater in development and poverty reduction, to case studies on techniques used to develop groundwater, and modelling methods for managing groundwater systems.

As climate change takes hold, there is an ever-growing need to develop and apply strategies that optimize the use of natural resources, both on land and in water. This book covers a huge range of strategies that can be applied to various sectors, from forests to flood control. Its aim, as with resource management itself, is to combine economics, policy and science to help rehabilitate and preserve our natural resources.

Beginning with papers on carbon sequestration, including the practice of artificial desertification, the topics move on to cover the use of distributed modeling and neural networks in estimating water availability and distribution. Further chapters look at uncertainty analysis applied to the spatial variation of hydrologic resources, and finally the book covers attempts at estimating meteorological parameters in the context of hydrological variables such as evapo-transpiration from stream flow.

Within the next decade, the effects of climate change will be severe, and felt by ordinary human beings. This book proposes a raft of measures that can mitigate, if not reverse, the impact of global warming on the resources we have all come to depend on.

Over the past several decades, analyses of solute migration in aquifers have widely adopted the classical advection-dispersion equation. However, misunderstandings over advection-dispersion concepts, their relationship with the scales of heterogeneity, our observation and interest, and their ensemble mean nature have created furious debates about the concepts' validity. This book provides a unified and comprehensive overview and lucid explanations of the stochastic nature of solute transport processes at different scales. It also presents tools for analyzing solute transport and its uncertainty to meet our needs at different scales. Easy-to-understand physical explanations without complex mathematics make this book an invaluable resource for students, researchers, and professionals performing groundwater quality evaluations, management, and remediation.