ASTM Standards on Analysis of Hydrologic Parameters and Ground Water Modeling PDF Download
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Author:
Publisher: ASTM International
ISBN:
Category : Nature
Languages : en
Pages : 164
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Book Description
The most recent compilation of standards from the American Society for Testing and Materials details tests and guides for determining hydraulic properties using well techniques, and ground water modeling. These standards may also be found in the Annual Book of ASTM Standards . Annotation c. by Book
Author:
Publisher: ASTM International
ISBN:
Category : Nature
Languages : en
Pages : 164
Get Book Here
Book Description
The most recent compilation of standards from the American Society for Testing and Materials details tests and guides for determining hydraulic properties using well techniques, and ground water modeling. These standards may also be found in the Annual Book of ASTM Standards . Annotation c. by Book
Author:
Publisher: ASTM International
ISBN: 9780803127173
Category : Aquifers
Languages : en
Pages : 0
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Book Description
Author:
Publisher: ASTM International
ISBN: 9780803186286
Category : Aquifers
Languages : en
Pages : 372
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Book Description
Rev. ed. of: ASTM standards on determining subsurface hydraulic properties and ground-water modeling / sponsored by ASTM D-18 on Soil and Rock. 1999.
Author: John E. Moore
Publisher: CRC Press
ISBN: 1420032259
Category : Science
Languages : en
Pages : 210
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Book Description
In recent years, the focus in groundwater studies has expanded to also include groundwater contamination and remediation studies as a part of resource evaluations. While there are other books on the subject, Field Hydrogeology-A Guide for Site Investigations and Report Preparation provides the first integrated presentation of the American Society of Testing Materials (ASTM) standards, US Geological Survey (USGS), and US Environmental Protection Agency (EPA) field techniques. It also includes access to a Web site that contains software for designing aquifer tests and aquifer-recharge experiments. Written by an author with more than 40 years of experience in hydrology and geology, this reference treats the subject from a field standpoint. Useful as a field guide and a textbook, it contains standard methods for planning and undertaking hydrogeologic investigations. It incorporates case studies, contains a glossary of field-hydrogeology technical terms, and provides a detailed list of ASTM standards and key hydrologic Web sites. The guide is based on ASTM standards, EPA, and US Department of Interior (DOI) field technical manuals. The text covers hydrogeologic fundamentals, conceptual models, planning an investigation, surface investigations, subsurface investigations, field inventory, stream flow measurements, water quality measurements, and report preparation. It includes more recent groundwater evaluation techniques such as tracing and isotope techniques. Field Hydrogeology will allow students and seasoned professionals to have a vast array of clearly written descriptive materials and an extensive source of references available at their fingertips. About the Author: John E. Moore, Ph.D., is a hydrogeologist at the USEPA Region 8 in Denver, Colorado. Dr. Moore is also an adjunct professor of hydrology at Metro State College in Denver and a consulting hydrologist. He has more than 40 years of experience in hydrogeology and geology as a researcher, teacher, and consultant. He is internationally recognized as an expert in these fields. Dr. Moore was deputy assistant chief hydrologist and field scientist with the USGS and served as a technical advisor to the USEPA and the U.S. House of Representatives. He is past president of the International Association of Hydrogeologists (IAH) and the American Institute of Hydrology (AIH) and is the chairman of the IAH Education Commission.
Author: Mary C. Hill
Publisher: John Wiley & Sons
ISBN: 0470041072
Category : Technology & Engineering
Languages : en
Pages : 475
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Book Description
Methods and guidelines for developing and using mathematical models Turn to Effective Groundwater Model Calibration for a set of methods and guidelines that can help produce more accurate and transparent mathematical models. The models can represent groundwater flow and transport and other natural and engineered systems. Use this book and its extensive exercises to learn methods to fully exploit the data on hand, maximize the model's potential, and troubleshoot any problems that arise. Use the methods to perform: Sensitivity analysis to evaluate the information content of data Data assessment to identify (a) existing measurements that dominate model development and predictions and (b) potential measurements likely to improve the reliability of predictions Calibration to develop models that are consistent with the data in an optimal manner Uncertainty evaluation to quantify and communicate errors in simulated results that are often used to make important societal decisions Most of the methods are based on linear and nonlinear regression theory. Fourteen guidelines show the reader how to use the methods advantageously in practical situations. Exercises focus on a groundwater flow system and management problem, enabling readers to apply all the methods presented in the text. The exercises can be completed using the material provided in the book, or as hands-on computer exercises using instructions and files available on the text's accompanying Web site. Throughout the book, the authors stress the need for valid statistical concepts and easily understood presentation methods required to achieve well-tested, transparent models. Most of the examples and all of the exercises focus on simulating groundwater systems; other examples come from surface-water hydrology and geophysics. The methods and guidelines in the text are broadly applicable and can be used by students, researchers, and engineers to simulate many kinds systems.
Author: Joseph D. Ritchey
Publisher: ASTM International
ISBN: 0803120214
Category : Aquifers
Languages : en
Pages : 424
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Book Description
Author: DM. Brown
Publisher:
ISBN:
Category : Calibration
Languages : en
Pages : 18
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Book Description
It is impossible to know with certainty that application of a ground-water modeling code to a site-specific problem is producing correct predictions. This paper describes procedures in ASTM standards that can reduce uncertainty associated with a model's predictive capability for use in decision-making. Modeling projects should begin with a clear statement of the objective. The modeler should consider restating the problem in terms of bounded predictions rather than specific numerical predictions to allow conservatism in assumptions. The modeler should develop a conceptual model of applicable hydrogeologic framework and physical processes. The uniqueness problem should be addressed by using measured hydraulic conductivities, calibrating to ground-water flow rates as well as hydraulic heads, and/or calibrating to data collected during multiple distinct hydrologic conditions. Over-calibration can be avoided by performing application verification. A sensitivity analysis should be performed to identify model inputs that meet the calibration criteria but produce fundamentally different predictions. A field audit can be performed to directly test the model's prediction. Sound hydrologic judgement is necessary to perform these procedures and interpret modeling results.
Author: Birute Vanatta
Publisher: DIANE Publishing
ISBN: 0756705703
Category :
Languages : en
Pages : 406
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Book Description
Designed to assist facility managers, state & tribal environmental managers, & the public to evaluate & choose protective practices for managing industrial waste in new landfills, waste piles, surface impoundments, & land application units. Identifies the components of a sound waste management system & the reasons why each is important. Also includes groundwater & air models, as well as other tools to help tailor waste management practices to a particular facility. This guidance reflects 4 underlying principles: protect human health & the environment; tailor management practices to risks; affirm state & tribal leadership; & foster a partnership.
Author: Mary P. Anderson
Publisher: Academic Press
ISBN: 0080916384
Category : Technology & Engineering
Languages : en
Pages : 632
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Book Description
This second edition is extensively revised throughout with expanded discussion of modeling fundamentals and coverage of advances in model calibration and uncertainty analysis that are revolutionizing the science of groundwater modeling. The text is intended for undergraduate and graduate level courses in applied groundwater modeling and as a comprehensive reference for environmental consultants and scientists/engineers in industry and governmental agencies. Explains how to formulate a conceptual model of a groundwater system and translate it into a numerical model Demonstrates how modeling concepts, including boundary conditions, are implemented in two groundwater flow codes-- MODFLOW (for finite differences) and FEFLOW (for finite elements) Discusses particle tracking methods and codes for flowpath analysis and advective transport of contaminants Summarizes parameter estimation and uncertainty analysis approaches using the code PEST to illustrate how concepts are implemented Discusses modeling ethics and preparation of the modeling report Includes Boxes that amplify and supplement topics covered in the text Each chapter presents lists of common modeling errors and problem sets that illustrate concepts
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.
