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Book Cover
Author Hyndman, David W.

Title Subsurface Hydrology : Data Integration for Properties and Processes
Published Hoboken : Wiley, 2013
Online access available from:
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Description 1 online resource (262 pages)
Series Geophysical Monograph Series
Geophysical monograph series.
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
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)
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
Print version record
Form Electronic book
Author Day-Lewis, Frederick D.
Singha, Kamini.
ISBN 1118671805