Subsurface Hydrology: Data Integration for Properties and Processes

• Publisher: American Geophysical Union
• Year: 2007
• Tongue: English
• Leaves: 254
• Category: Library

✦ Synopsis

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 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.

Content:

✦ Table of Contents

Title Page
......Page 3
Copyright
......Page 4
Contents......Page 5
Preface......Page 7
INTRODUCTION......Page 8
References......Page 11
1. INTRODUCTION......Page 13
2. RANDOM FUNCTION FORMALISM......Page 14
3. MULTIVARIATE GAUSSIAN DISTRIBUTION......Page 16
4. PRACTICAL IMPLEMENTATION......Page 20
REFERENCES......Page 24
UNCERTAINTY AND STOCHASTIC METHODS......Page 25
LINEAR INVERSION......Page 27
SELECTION OF PARAMETERS......Page 31
EXAMPLE CONTINUED......Page 32
CONCLUDING REMARKS......Page 34
REFERENCES......Page 35
INTRODUCTION......Page 37
WATER CONTENT DATA FROM NEUTRON PROBEMEASUREMENTS......Page 39
GROUND PENETRATING RADAR DATA......Page 40
LINK BETWEEN WATER CONTENT AND THERADAR REFLECTION IMAGE......Page 41
GEOSTATISTICAL ANALYSIS OF PROBE-DERIVEDWATER CONTENT AND RADAR DATA:RESULTS AND DISCUSSION......Page 43
CONCLUSIONS......Page 48
REFERENCES......Page 49
Integrating Statistical Rock Physics and Sedimentology forQuantitative Seismic Interpretation......Page 51
1. INTRODUCTION......Page 52
3. THE ROCK PHYSICS LINK BETWEEN SEISMICAND GEOLOGY......Page 53
4. UNCERTAINTY IN ROCK PROPERTY ESTIMATION......Page 57
5. SEISMIC INFORMATION......Page 59
6. STATISTICAL CLASSIFICATION......Page 61
7. CONCLUSIONS......Page 64
REFERENCES......Page 65
SUBSURFACE DATA AND SP ATIAL MODELING......Page 67
INTEGRATION OF STATIC AND DYNAMIC DATA......Page 70
CONCLUSIONS......Page 75
REFERENCES......Page 77
1. INTRODUCTION......Page 78
2. CURRENT APPROACHES TO PLUME ESTIMATION......Page 79
3. METHODOLOGY......Page 82
4. APPLICATIONS......Page 86
5. METHOD PERFORMANCE AND APPLICABILITY......Page 88
6. CONCLUSIONS......Page 91
REFERENCES......Page 92
1. INTRODUCTION......Page 94
2. BACKGROUND: GOVERNING EQUATIONS......Page 96
3. GROUNDWATER AND HEAT: THE INVERSE PROBLEM......Page 97
4. BAYESIAN SOLUTION TO INVERSE PROBLEMS......Page 99
5. LIKELIHOOD FUNCTION FOR HYDRAULIC HEADS AND TEMPERATURES......Page 101
6. THE LINEAR INVERSE AND APPLICATION TO INTERPOLATION......Page 102
7. EMPIRICAL BAYES AND HYPERPARAMETER ESTIMATION BY ABIC......Page 104
9. STEADY-STATE GROUNDWATER AND THERMAL INVERSION......Page 105
11. EXAMPLE APPLICATIONS......Page 107
1. INTRODUCTION......Page 114
2. DIFFICULTIES OF TRADITIONAL APPROACHES......Page 115
3. DATA FUSION FOR FIELD-­SCALE PROBLEMS......Page 116
4. DATA FUSION FOR BASIN-­SCALE PROBLEMS......Page 121
5. CONCLUSIONS......Page 122
REFERENCES......Page 123
INTRODUCTION......Page 126
METHODS......Page 127
DATA COLLECTION AND ANALYSIS......Page 128
GEOLOGIC, LANDSCAPE, AND REMOTE SENSING DATA......Page 129
COMPONENTS OF THE INTEGRATED LANDSCAPE HYDROLOGY MODEL ILHM......Page 130
RESULTS......Page 135
DISCUSSION AND CONCLUSIONS......Page 138
APPENDIX A: ILHM MODEL DEVELOPMENT......Page 140
RUNOFF ROUTING......Page 144
REFERENCES......Page 145
INTRODUCTION......Page 147
STUDY AREA......Page 150
GEOPHYSICAL DATA......Page 151
MATHEMATICAL MODELING......Page 152
CONCLUSIONS......Page 160
REFERENCES......Page 161
1. INTRODUCTION......Page 164
2. OVERLAPPING HYDROLOGIC AND GEOPHYSICAL METHODS......Page 165
3. CHARACTERIZATION OF COASTAL AQUIFER STRUCTURE: SPATIAL VARIABILITY......Page 168
4. CHARACTERIZATION OF COASTAL AQUIFER DYNAMICS: TEMPORAL VARIABILITY......Page 179
5. DISCUSSION......Page 181
6. CONCLUSIONS......Page 182
REFERENCES......Page 183
INTRODUCTION......Page 186
Datasets and Study Area......Page 187
Assuring Periodicity......Page 188
Unit Response Functions......Page 189
Scaled -­Windowed Fourier Transf orm......Page 190
Scalogram Averaging......Page 193
Watershed Available Precipitation:Snow melt Modeling......Page 194
Examining Watershed Process: Spectral Comparison......Page 195
Exami ning Intra-­Annual Spe ctralVariability Using the SWFT......Page 197
Spectrally Derived Watershed “UnitHydrograph ? Response Functions......Page 200
Conclusions......Page 202
References......Page 203
1. INTRODUCTION......Page 204
2. MIRROR LAKE SITE......Page 205
3. FRACTURES AND GEOLOGIC MAPPING......Page 207
4. HYDRAULIC PROPERTIES OF FRACTURED ROCK FROM METERS TO KILOMETERS......Page 209
5. CHEMICAL MIGRATION IN FRACTURED ROCK......Page 215
6. FRACTURE CONTROLS ON GROUND-WATER FLOW AND CHEMICAL TRANSPORT AT THE MIRROR LAKE SITE......Page 223
7. SUMMARY......Page 224
REFERENCES......Page 226
1. INTRODUCTION......Page 229
2. BACKGROUND......Page 231
3. EXAMPLE......Page 238
4. DISCUSSION......Page 240
REFERENCES......Page 241
1. INTRODUCTION......Page 244
2. DETERMINISTIC INVERSION......Page 245
3. BAYESIAN ESTIMATION......Page 247
4. VARIATIONAL METHODS......Page 249
5. ENSEMBLE STATE ESTIMATION......Page 251
REFERENCES......Page 253