Applied Stochastic Hydrogeology

Applied Stochastic Hydrogeology PDF Author: Yoram Rubin
Publisher: Oxford University Press
ISBN: 9780198031543
Category : Science
Languages : en
Pages : 416

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Book Description
Stochastic Subsurface Hydrogeology is the study of subsurface, geological heterogeneity, and its effects on flow and transport process, using probabilistic and geostatistical concepts. This book presents a rational, systematic approach for analyzing and modeling subsurface heterogeneity, and for modeling flow and transport in the subsurface, and for prediction and decision-making under uncertainty. The book covers the fundamentals and practical aspects of geostatistics and stochastic hydrogeology, coupling theoretical and practical aspects, with examples, case studies and guidelines for applications, and provides a summary and review of the major developments in these areas.

Applied Stochastic Hydrogeology

Applied Stochastic Hydrogeology PDF Author: Yoram Rubin
Publisher: Oxford University Press
ISBN: 9780198031543
Category : Science
Languages : en
Pages : 416

Get Book Here

Book Description
Stochastic Subsurface Hydrogeology is the study of subsurface, geological heterogeneity, and its effects on flow and transport process, using probabilistic and geostatistical concepts. This book presents a rational, systematic approach for analyzing and modeling subsurface heterogeneity, and for modeling flow and transport in the subsurface, and for prediction and decision-making under uncertainty. The book covers the fundamentals and practical aspects of geostatistics and stochastic hydrogeology, coupling theoretical and practical aspects, with examples, case studies and guidelines for applications, and provides a summary and review of the major developments in these areas.

Applied Stochastic Hydrogeology

Applied Stochastic Hydrogeology PDF Author: Yoram Rubin
Publisher: Oxford University Press, USA
ISBN: 019513804X
Category : Hydrogeology
Languages : en
Pages : 412

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Book Description
1. Introduction. 2. Fundamentals of Stochastic Site Characterization. 3. Estimation and Simulation. 4. Moments of the Flow Variables, Part I: The Flow Equation and the Hydraulic Head. 5. Moments of the Flow Variables, Part II: The Effective Conductivity. 6. Upscaling, Computational Aspects, and Statistics of the Velocity Field. 7. An Overview of Stochastic Tools for Modeling Transport of Tracers in Heterogeneous Media. 8. The Eulerian Picture: Principles of the Eulerian Approach to Modeling the Transport of Solutes. 9. The Lagrangian Picture, Part I: Fundamentals of the Lagrangian Approach to.

Stochastic Modeling in Hydrogeology

Stochastic Modeling in Hydrogeology PDF Author: J. Jaime Gómez-Hernández
Publisher: Frontiers Media SA
ISBN: 2889710378
Category : Science
Languages : en
Pages : 180

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Book Description
Dr. Andres Alcolea is employed by Geo-Energie Suisse AG and is the funder and CEO of HydroGeoModels. All other Topic Editors declare no competing interests with regards to the Research Topic subject

Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization

Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization PDF Author: J.B. Marco
Publisher: Springer Science & Business Media
ISBN: 9401116970
Category : Science
Languages : en
Pages : 470

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Book Description
Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise. A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management. The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract) Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.

Applied Hydrogeophysics

Applied Hydrogeophysics PDF Author: Harry Vereecken
Publisher: Springer Science & Business Media
ISBN: 1402049129
Category : Science
Languages : en
Pages : 391

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Book Description
This book focuses on the the application of hydrogeophysical methods to the understanding of hydrological processes and environmental problems dealing with the flow of water and the transport of solutes and contaminants. Taking a process-driven approach, the book offers a series of process-driven chapters, each authored by leading experts. Areas covered include: infiltration and solute transport processes, biogeochemical functioning of soil-water systems, coastal groundwater interactions, cold region hydrology, engineered barriers and landfill processes.

Hydrogeophysics

Hydrogeophysics PDF Author: Yorum Rubin
Publisher: Springer Science & Business Media
ISBN: 1402031025
Category : Science
Languages : en
Pages : 518

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Book Description
This ground-breaking work is the first to cover the fundamentals of hydrogeophysics from both the hydrogeological and geophysical perspectives. Authored by leading experts and expert groups, the book starts out by explaining the fundamentals of hydrological characterization, with focus on hydrological data acquisition and measurement analysis as well as geostatistical approaches. The fundamentals of geophysical characterization are then at length, including the geophysical techniques that are often used for hydrogeological characterization. Unlike other books, the geophysical methods and petrophysical discussions presented here emphasize the theory, assumptions, approaches, and interpretations that are particularly important for hydrogeological applications. A series of hydrogeophysical case studies illustrate hydrogeophysical approaches for mapping hydrological units, estimation of hydrogeological parameters, and monitoring of hydrogeological processes. Finally, the book concludes with hydrogeophysical frontiers, i.e. on emerging technologies and stochastic hydrogeophysical inversion approaches.

Models and Modeling

Models and Modeling PDF Author: Jerry P. Fairley
Publisher: John Wiley & Sons
ISBN: 1119130379
Category : Technology & Engineering
Languages : en
Pages : 327

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Book Description
An Introduction to Models and Modeling in the Earth and Environmental Sciences offers students and professionals the opportunity to learn about groundwater modeling, starting from the basics. Using clear, physically-intuitive examples, the author systematically takes us on a tour that begins with the simplest representations of fluid flow and builds through the most important equations of groundwater hydrology. Along the way, we learn how to develop a conceptual understanding of a system, how to choose boundary and initial conditions, and how to exploit model symmetry. Other important topics covered include non-dimensionalization, sensitivity, and finite differences. Written in an eclectic and readable style that will win over even math-phobic students, this text lays the foundation for a successful career in modeling and is accessible to anyone that has completed two semesters of Calculus. Although the popular image of a geologist or environmental scientist may be the rugged adventurer, heading off into the wilderness with a compass and a hand level, the disciplines of geology, hydrogeology, and environmental sciences have become increasingly quantitative. Today’s earth science professionals routinely work with mathematical and computer models, and career success often demands a broad range of analytical and computational skills. An Introduction to Models and Modeling in the Earth and Environmental Sciencesis written for students and professionals who want to learn the craft of modeling, and do more than just run “black box” computer simulations.

Calibration and Reliability in Groundwater Modelling

Calibration and Reliability in Groundwater Modelling PDF Author: Marc F. P. Bierkens
Publisher:
ISBN: 9781901502589
Category : Science
Languages : en
Pages : 334

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Book Description
Several of the papers here deal with decision making under uncertainty.

Water Flow, Solute and Heat Transfer in Groundwater

Water Flow, Solute and Heat Transfer in Groundwater PDF Author: Alexander Yakirevich
Publisher: MDPI
ISBN: 3039368966
Category : Science
Languages : en
Pages : 236

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Book Description
Groundwater is an essential and vital water resource for drinking water production, agricultural irrigation, and industrial processes. Having a better understanding of physical and chemical processes in aquifers enables more reliable decisions and reduces investments concerning water management. This Special Issue on “Water Flow, Solute, and Heat Transfer, in Groundwater” of Water focuses on the recent advances in groundwater dynamics, and it includes high-quality papers that cover a wide range of issues on different aspects related to groundwater: protection from contamination, recharge, heat transfer, hydraulic parameters estimation, well hydraulics, microbial community, colloid transport, and mathematical models. This integrative volume aims to transfer knowledge to hydrologists, hydraulic engineers, and water resources planners, who are engaged in the sustainable development of groundwater resources.

Parameter Estimation and Uncertainty Quantification in Water Resources Modeling

Parameter Estimation and Uncertainty Quantification in Water Resources Modeling PDF Author: Philippe Renard
Publisher: Frontiers Media SA
ISBN: 2889636747
Category :
Languages : en
Pages : 177

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Book Description
Numerical models of flow and transport processes are heavily employed in the fields of surface, soil, and groundwater hydrology. They are used to interpret field observations, analyze complex and coupled processes, or to support decision making related to large societal issues such as the water-energy nexus or sustainable water management and food production. Parameter estimation and uncertainty quantification are two key features of modern science-based predictions. When applied to water resources, these tasks must cope with many degrees of freedom and large datasets. Both are challenging and require novel theoretical and computational approaches to handle complex models with large number of unknown parameters.