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Subsurface Hydrology

Data Integration for Properties and Processes
Geophysical Monograph Series, Band 171 1. Aufl.

von: David W. Hyndman, Frederick D. Day-Lewis, Kamini Singha
118,99 €
Verlag:	Wiley
Format:	EPUB
Veröffentl.:	30.04.2013
ISBN/EAN:	9781118671801
Sprache:	englisch
Anzahl Seiten:	253

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Titelbeschreibung

Published by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 171. Groundwater is a critical resource and the PrinciPal source of drinking water for over 1.5 billion people. In 2001, the National Research Council cited as a "grand challenge" our need to understand the processes that control water movement in the subsurface. This volume faces that challenge in terms of data integration between complex, multi-scale hydrologie processes, and their links to other physical, chemical, and biological processes at multiple scales. Subsurface Hydrology: Data Integration for Properties and Processes presents the current state of the science in four aspects: <ul> <li>Approaches to hydrologie data integration</li> <li>Data integration for characterization of hydrologie properties</li> <li>Data integration for understanding hydrologie processes</li> <li>Meta-analysis of current interpretations</li> </ul> Scientists and researchers in the field, the laboratory, and the classroom will find this work an important resource in advancing our understanding of subsurface water movement.

Inhaltsverzeichnis

Preface David W. Hyndman, Frederick D. Day-Lewis, and Kamini Singha vii Introduction Kamini Singha, David W. Hyndman, and Frederick D. Day-Lewis 1 I. Approaches to Data Integration A Review of Geostatistical Approaches to Data Fusion Clayton V. Deutsch 7 On Stochastic Inverse Modeling Peter K. Kitanidis 19 II. Data Integration for Property Characterization A Comparison of the Use of Radar Images and Neutron Probe Data to Determine the Horizontal Correlation Length of Water Content Rosemary J. Knight, James D. Irving, Paulette Tercier, Gene J. Freeman, Chris J. Murray, and Mark L. Rockhold 31 Integrating Statistical Rock Physics and Sedimentology for Quantitative Seismic Interpretation Per Avseth, Tapan Mukerji and Gary Mavko, and Ezequiel Gonzalez 45 A Geostatistical Approach to Integrating Data From Multiple and Diverse Sources: An Application to the Integration of Well Data, Geological Information, 3d/4d Geophysical and Reservoir-Dynamics Data in a North-Sea Reservoir Jef Caers and Scarlet Castro 61 A Geostatistical Data Assimilation Approach for Estimating Groundwater Plume Distributions From Multiple Monitoring Events Anna M. Michalak and Shahar Shlomi 73 A Bayesian Approach for Combining Thermal and Hydraulic Data Allan D. Woodbury 89 Fusion of Active and Passive Hydrologic and Geophysical Tomographic Surveys: The Future of Subsurface Characterization Tian-Chyi Jim Yeh, Cheng Haw Lee, Kuo-Chin Hsu, and Yih-Chi Tan 109 III. Data Integration to Understand Hydrologic Processes Evaluating Temporal and Spatial Variations in Recharge and Streamflow Using the Integrated Landscape Hydrology Model (ILHM) David W. Hyndman, Anthony D. Kendall, and Nicklaus R.H. Welty 121 Integrating Geophysical, Hydrochemical, and Hydrologic Data to Understand the Freshwater Resources on Nantucket Island, Massachusetts Andee J. Marksamer, Mark A. Person, Frederick D. Day-Lewis, John W. Lane, Jr., Denis Cohen, Brandon Dugan, Henk Kooi, and Mark Willett 143 Integrating Hydrologic and Geophysical Data to Constrain Coastal Surficial Aquifer Processes at Multiple Spatial and Temporal Scales Gregory M. Schultz, Carolyn Ruppel, and Patrick Fulton 161 Examining Watershed Processes Using Spectral Analysis Methods Including the Scaled-Windowed Fourier Transform Anthony D. Kendall and David W. Hyndman 183 Integrated Multi-Scale Characterization of Ground-Water Flow and Chemical Transport in Fractured Crystalline Rock at the Mirror Lake Site, New Hampshire Allen M. Shapiro, Paul A. Hsieh, William C. Burton, and Gregory J. Walsh 201 IV. Meta Analysis Accounting for Tomographic Resolution in Estimating Hydrologic Properties from Geophysical Data Kamini Singha, Frederick D. Day-Lewis, and Stephen Moysey 227 A Probabilistic Perspective on Nonlinear Model Inversion and Data Assimilation Dennis McLaughlin 243

Autorenportrait

David W. Hyndman and Frederick D. Day-Lewis are the authors of Subsurface Hydrology: Data Integration for Properties and Processes, published by Wiley.