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Subsurface Hydrology: Data Integration for Properties and Processes


Series: Geophysical Monograph Series Volume: 171

By: David W Hyndman(Editor), Frederick D Day-Lewis(Editor), Kamini Singha(Editor)

254 pages, illustrations

American Geophysical Union

Hardback | Jan 2007 | #231659 | ISBN-13: 9780875904375
Availability: Usually dispatched within 4 days Details
NHBS Price: £108.00 $139 / €124 approx

About this book

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:
- Approaches to hydrological data integration
- Data integration for characterization of hydrological properties
- Data integration for understanding hydrological processes
- Meta-analysis of current interpretations

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.


      David W. Hyndman, Frederick D. Day-Lewis, and Kamini Singha vii
      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

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