Subsurface Hydrology
Data Integration for Properties and Processes
1st Edition
Published on 30. April 2013
253 pages
978-1-118-67180-1 (ISBN)
Description
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,
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 hydrologie data integration
- Data integration for characterization of hydrologie properties
- Data integration for understanding hydrologie 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 and Frederick D, Day-Lewis are the authors of Subsurface Hydrology: Data Integration for Properties and Processes, published by Wiley,
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David W. Hyndman | Frederick D. Day-Lewis | Kamini Singha
Subsurface Hydrology
Data Integration for Properties and Processes
Book
01/2007
1st Edition
American Geophysical Union
€140.50
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Content
- Intro
- 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 Events
- A 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, Massachusetts
- Integrating 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
- Accounting for Tomographic Resolution in Estimating Hydrologic Properties from Geophysical Data
- A Probabilistic Perspective on Nonlinear Model Inversion and Data Assimilation
