| Description |
1 online resource (262 pages) |
| Series |
Geophysical Monograph Series ; 171 |
|
Geophysical monograph ; 171.
|
| Contents |
Title Page; Contents; Preface; Introduction; I. Approaches to Data Integration; A Review of Geostatistical Approaches to Data Fusion; On Stochastic Inverse Modeling; 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; Integrating Statistical Rock Physics and Sedimentology for Quantitative Seismic Interpretation; A Geostatistical Approach to Integrating Data From Multiple and Diverse Sources: An Application to the Integration of Well Data |
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A Geostatistical Data Assimilation Approach for Estimating Groundwater Plume Distributions From Multiple Monitoring EventsA Bayesian Approach for Combining Thermal and Hydraulic Data; Fusion of Active and Passive Hydrologic and Geophysical Tomographic Surveys: The Future of Subsurface Characterization; III. Data Integration to Understand Hydrologic Processes; Evaluating Temporal and Spatial Variations in Recharge and Streamflow Using the Integrated Landscape Hydrology Model (ILHM) |
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Integrating Geophysical, Hydrochemical, and Hydrologic Data to Understand the Freshwater Resources on Nantucket Island, MassachusettsIntegrating Hydrologic and Geophysical Data to Constrain Coastal SurficialAquifer Processes at Multiple Spatial and Temporal Scales; Examining Watershed Processes Using Spectral Analysis Methods Including the Scaled- Windowed Fourier Transform; Integrated Multi-Scale Characterization of Ground-Water Flow and Chemical Transport in Fractured Crystalline Rock at the Mirror; IV. Meta Analysis |
| Summary |
Published by the American Geophysical Union as part of the Geophysical Monograph Series. 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 In |
| Notes |
Accounting for Tomographic Resolution in Estimating Hydrologic Properties from Geophysical DataA Probabilistic Perspective on Nonlinear Model Inversion and Data Assimilation |
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Print version record |
| Subject |
Groundwater flow -- Mathematical models
|
|
Hydrogeology.
|
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Groundwater flow -- Mathematical models
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|
Hydrogeology
|
| Form |
Electronic book
|
| Author |
Day-Lewis, Frederick D
|
|
Singha, Kamini
|
| ISBN |
9781118671801 |
|
1118671805 |
|
