Finite Element Simulation in Surface and Subsurface Hydrology

Finite Element Simulation in Surface and Subsurface Hydrology PDF Author: George F. Pinder
Publisher: Elsevier
ISBN: 1483270424
Category : Science
Languages : en
Pages : 308

Book Description
Finite Element Simulation in Surface and Subsurface Hydrology provides an introduction to the finite element method and how the method is applied to problems in surface and subsurface hydrology. The book presents the basic concepts of the numerical methods and the finite element approach; applications to problems on groundwater flow and mass and energy transport; and applications to problems that involve surface water dynamics. Computational methods for the solution of differential equations; classification of partial differential equations; finite difference and weighted residual integral techniques; and The Galerkin finite element method are discussed as well. The text will be of value to engineers, hydrologists, and students in the field of engineering.

Surface/Subsurface

Surface/Subsurface PDF Author: Michael Manfredi
Publisher: Princeton Architectural Press
ISBN: 9781568987330
Category : Architecture
Languages : en
Pages : 216

Book Description
For nearly two decades the architecture firm Weiss/Manfredi has practiced outside the traditional boundaries of architecture. Their work with complex sites and programs benefits from an interdisciplinary approach and a dynamic integration of architecture, art, infrastructure, and landscape design. Surface/Subsurface presents nine major projects that have been completed since their first monograph Site Specific, published in 2000. Their design processexemplary of the best contemporary architectural practicesreveals potential in subsurface conditions with the goal of generating an entirely new language for the surface. Projects include the Olympic Sculpture Park in Seattle, which wanders over a highway and train lines; the Museum of the Earth in Ithaca, New York, which manipulates the movement of water, cars, and visitors; and the Smith College Campus Center in Northampton, Massachusetts, whichtransforms the brick campus into a luminous terracotta surface. Each project is fully documented through project photographs, drawings, details, and texts.

Land Seismic Case Studies for Near-Surface Modeling and Subsurface Imaging

Land Seismic Case Studies for Near-Surface Modeling and Subsurface Imaging PDF Author: Öz Yilmaz
Publisher: SEG Books
ISBN: 1560803800
Category : Science
Languages : en
Pages : 1056

Book Description
Written for practicing geophysicists, “Land Seismic Case Studies for Near-Surface Modeling and Subsurface Imaging” is a comprehensive guide to understanding and interpreting seismic data. The culmination of land seismic data acquisition and processing projects conducted by the author over the last two decades, this book contains more than nearly 800 figures from worldwide case studies—conducted in both 2D and 3D. Beginning with Chapter 1 on seismic characterization of the near-surface, Chapter 2 presents near-surface modeling by traveltime and full-wave inversion, Chapter 3 presents near-surface modeling by imaging, and then Chapter 4 includes detailed case studies for near-surface modeling. Chapter 5 reviews single- and multichannel signal processing of land seismic data with the key objective of removing surface waves and guided waves that are characterized as coherent linear noise. Uncommon seismic data acquisition methods, including large-offset acquisition in thrust belts to capture the large-amplitude supercritical reflections, swath-line acquisition, and joint PP and SH- SH seismic imaging are highlighted in Chapter 6, and Chapter 7 presents image-based rms velocity estimation and discusses the problem of velocity uncertainty. The final two chapters focus exclusively on case studies: 2D in Chapter 8 and 3D in Chapter 9. An outstanding teaching tool, this book includes analysis workflows containing processing steps designed to solve specific problems. Essential for anyone involved in acquisition, processing, and inversion of seismic data, this volume will become the definitive reference for understanding how the variables in seismic acquisition are directly reflected in the data.

Groundwater Geomorphology

Groundwater Geomorphology PDF Author: Charles G. Higgins
Publisher: Geological Society of America
ISBN: 0813722527
Category : Science
Languages : en
Pages : 381

Book Description


Streams and Ground Waters

Streams and Ground Waters PDF Author: Jeremy B. Jones
Publisher: Elsevier
ISBN: 0080517994
Category : Science
Languages : en
Pages : 447

Book Description
Streams around the world flow toward the sea in floodplains. All along this transit, there is exchange of water between the stream itself and the surrounding sediments which form the floodplain. Many chemical, biological, and geological processes occur when water moves back and forth between streams and these flood plain sediments. Streams and Groundwaters focuses on the consequences of water flow between streams, their underlying sediments, and surrounding landscapes. Certain to appeal to anyone interested in stream ecology, the management of stream ecosystems, or landscape ecology, this volume should become a oft-opened reference.

Subsurface Hydrology

Subsurface Hydrology PDF Author: George F. Pinder
Publisher: John Wiley & Sons
ISBN: 0470044195
Category : Science
Languages : en
Pages : 400

Book Description
With an emphasis on methodology, this reference provides a comprehensive examination of water movement as well as the movement of various pollutants in the earth's subsurface. The multidisciplinary approach integrates earth science, fluid mechanics, mathematics, statistics, and chemistry. Ideal for both professionals and students, this is a practical guide to the practices, procedures, and rules for dealing with groundwater.

Surface and Sub-surface Water in Asia

Surface and Sub-surface Water in Asia PDF Author: V. Subramanian
Publisher: IOS Press
ISBN: 1614995400
Category : Nature
Languages : en
Pages : 280

Book Description
With its widely diverse and growing populations, burgeoning industrialization and changing weather patterns, the continent of Asia encompasses a vast array of water related problems. This book contains both specially written invited contributions from experts and related articles published previously in the Asian Journal of Water, Environment and Pollution in recent years. Included are some case studies from areas outside Asia, such as Africa and the UK. Topics covered include: the impact of coal mining on water quality; coastal pollution loading; the application of GIS and remote sensing for the sustainable use and management of groundwater; organic pollution discharge from tropical landfill; the impact of industrial effluents; multivariate statistical analysis to define water quality; fluoride content and dental fluorosis; stable carbon and nitrogen isotopes as indicators of organic matter sources; and the evaluation of drinking water quality. Representing a serious effort to address and resolve the issues described, this book will be of interest to water specialists, researchers and policymakers alike. About the Editor: Prof. V. Subramanian, after completing his PhD in the U.S.A. with a Fulbright Fellowship and teaching for about two years at McGill University, Canada, joined Jawaharlal Nehru University in 1975. Since then he has been working on global rivers and their impact on coastal and delta processes for over three decades. More than 35 students did their PhD under him over the years and he has authored or co-authored more than 175 technical international publications, including books. He set up academic activities on rivers in South Asia at JNU way back in 1975 and has since been associated with several international institutions/organizations either as member or guest faculty from time to time. He also worked as Emeritus Fellow in Environmental Sciences at JNU. After completion of this term, he is working as an Advisor in Environmental Sciences at Amity University, Noida, India.

Introduction to Subsurface Imaging

Introduction to Subsurface Imaging PDF Author: Bahaa Saleh
Publisher: Cambridge University Press
ISBN: 1139495348
Category : Computers
Languages : en
Pages : 455

Book Description
Describing and evaluating the basic principles and methods of subsurface sensing and imaging, Introduction to Subsurface Imaging is a clear and comprehensive treatment that links theory to a wide range of real-world applications in medicine, biology, security and geophysical/environmental exploration. It integrates the different sensing techniques (acoustic, electric, electromagnetic, optical, x-ray or particle beams) by unifying the underlying physical and mathematical similarities, and computational and algorithmic methods. Time-domain, spectral and multisensor methods are also covered, whilst all the necessary mathematical, statistical and linear systems tools are given in useful appendices to make the book self-contained. Featuring a logical blend of theory and applications, a wealth of color illustrations, homework problems and numerous case studies, this is suitable for use as both a course text and as a professional reference.

3-D Structural Geology

3-D Structural Geology PDF Author: Richard H. Groshong
Publisher: Springer Science & Business Media
ISBN: 354031055X
Category : Science
Languages : en
Pages : 411

Book Description
The book includes new material, in particular examples of 3-D models and techniques for using kinematic models to predict fault and ramp-anticline geometry. The book is geared toward the professional user concerned about the accuracy of an interpretation and the speed with which it can be obtained from incomplete data. Numerous analytical solutions are given that can be easily implemented with a pocket calculator or a spreadsheet.

Machine Learning for Subsurface Characterization

Machine Learning for Subsurface Characterization PDF Author: Siddharth Misra
Publisher: Gulf Professional Publishing
ISBN: 0128177373
Category : Technology & Engineering
Languages : en
Pages : 442

Book Description
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. Learn from 13 practical case studies using field, laboratory, and simulation data Become knowledgeable with data science and analytics terminology relevant to subsurface characterization Learn frameworks, concepts, and methods important for the engineer’s and geoscientist’s toolbox needed to support