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Subsurface Conditions
Implications for Urban Infrastructure and Environmental Assessment
By: Keith Turner (Editor), Michael Shaw Rosenbaum (Editor)
Paperback | 1 July 2003
At a Glance
428 Pages
22.86 x 15.24 x 1.91
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Characterisation of the shallow subsurface has gained in importance as civil and geotechnical engineering and environmental applications have become more dependent on a precise definition of geomechanical and geohydrological properties. A better understanding of the subsurface conditions offers wide-ranging benefits to governments, industry and individual citizens.
Subsurface geological modelling became an economic and technologic reality in the late 1980's, when competing 3-D geoscientific information systems were the subject of considerable research and evaluation, especially by the petroleum exploration industry. Investigations in the shallow subsurface impose additional requirements that have only recently become technically and economically achievable. The very shallow urban underground environment, where many infrastructure and utilities elements are located, presents the most difficult characterisation problems.
Subsurface modelling techniques have matured, along with modern data base concepts. The evolution of the Internet and Web-browser technologies has expanded information transmission and dissemination capabilities. Subsurface models are being integrated with decision-support systems to provide predictions of technical and economic performance. Yet even the most sophisticated of these models leave some uncertainty in geologic interpretation. A variety of techniques for assessing uncertainty have been developed and are being evaluated.
| Preface | p. v |
| Acknowledgements | p. vi |
| Contributing Authors | p. vii |
| Fundamentals | p. 1 |
| Characterisation of the shallow subsurface: implications for urban infrastructure and environmental assessment | p. 3 |
| The Context | p. 3 |
| The Objectives | p. 4 |
| The Issues | p. 5 |
| The Challenges | p. 5 |
| The Conference | p. 6 |
| Bridging the gap between geoscience providers and the user community | p. 7 |
| Context | p. 7 |
| What is meant by geology? | p. 8 |
| Geoscience information providers | p. 8 |
| The development of the geological map | p. 9 |
| Before 1835 | p. 9 |
| After 1835 | p. 12 |
| The users and their needs | p. 14 |
| The evolution of the geological map to meet new user needs | p. 16 |
| Digital geological maps | p. 17 |
| Applied geological mapping | p. 19 |
| The general public | p. 23 |
| Conclusions | p. 24 |
| Definition of the modelling technologies | p. 27 |
| The Context | p. 27 |
| Principles of geological characterisation | p. 27 |
| Initial Developments | p. 28 |
| Categories of GIS | p. 29 |
| Development of Geoscientific Information Systems | p. 30 |
| Capabilities of GeoScientific Information Systems | p. 31 |
| Advances in hardware and software technology | p. 31 |
| Classes of Geoscientific Information System | p. 32 |
| Towards a desirable 3D data structure | p. 35 |
| The geological characterisation process | p. 38 |
| New paradigms for geoscience information management | p. 41 |
| Introduction | p. 41 |
| Challenges facing the geoscience community | p. 41 |
| The need for new paradigms | p. 43 |
| The challenge | p. 43 |
| Organisational alignment to meet stakeholder/client needs | p. 43 |
| Re-engineering the work process | p. 44 |
| An implementation strategy | p. 45 |
| Case Study - the LANL ER Project | p. 48 |
| ER Project goals and needs | p. 48 |
| Business process analysis | p. 48 |
| Success factors | p. 49 |
| Strategic plan development | p. 50 |
| Creating the IM team | p. 50 |
| Re-engineering the business processes | p. 51 |
| Implementation of the hardware/software infrastructure | p. 52 |
| Conceptual system design | p. 52 |
| Database design | p. 54 |
| Data migration and cleanup | p. 54 |
| Software definition and development | p. 56 |
| Conclusions and the Challenges Ahead | p. 57 |
| End-User Requirements | p. 59 |
| Putting the user first: implications for subsurface characterisation | p. 61 |
| Introduction | p. 61 |
| Defining user requirements | p. 61 |
| The problem with traditional products | p. 62 |
| Developing new products to satisfy modern users | p. 62 |
| Geo-Objects and subsurface modelling | p. 63 |
| Solutions to improve efficiency | p. 65 |
| Implementing new information technology | p. 65 |
| Putting the User first | p. 67 |
| Conclusions | p. 68 |
| What are the end-user issues? Settlement risk management in underground construction | p. 69 |
| The North-South Line Metro Project | p. 69 |
| Geological Characteristics of the Subsurface | p. 71 |
| Creating a Three Dimensional Ground Model | p. 72 |
| Numerical Modelling of Tunnelling Effects | p. 76 |
| The Integrated Boring Control System (IBCS) | p. 79 |
| End-User issues | p. 82 |
| Data requirements for geo-environmental management: end-user and producer perspectives for a harbour | p. 85 |
| Introduction | p. 85 |
| End-user and provider perspectives | p. 85 |
| Harbour site investigations | p. 88 |
| Documentation Methods | p. 88 |
| Sediment parameter priorities | p. 90 |
| Multi-functional considerations | p. 92 |
| Conclusions | p. 93 |
| A decision support system for groundwater: water management issues for opencast mining | p. 97 |
| Introduction | p. 97 |
| Impact on groundwater | p. 98 |
| Making decisions | p. 99 |
| A case study from the Konin region of Poland | p. 99 |
| Conclusions | p. 102 |
| Model Construction and Visualisation | p. 103 |
| Visualisation: are the images really useful? | p. 105 |
| Introduction | p. 105 |
| What is Visualisation? | p. 105 |
| Geoscientific visualisation | p. 106 |
| Data Visualisation | p. 106 |
| Shape visualisation | p. 107 |
| Volume visualisation | p. 107 |
| Process Visualisation | p. 109 |
| Examples | p. 109 |
| Caveats | p. 112 |
| Conclusions | p. 113 |
| Numerical schemes for process simulation: software for coupling pattern recognition to process modelling | p. 115 |
| Introduction | p. 115 |
| Cell complexes and their properties | p. 116 |
| Process modelling | p. 117 |
| Paradigms | p. 118 |
| Discrete analogues of the paradigm equations | p. 119 |
| The curl side | p. 119 |
| The div side | p. 120 |
| Discrete flux-based process models | p. 121 |
| Numerical example: homogenisation of flow parameters | p. 123 |
| Conclusions | p. 126 |
| Regional subsurface models and their practical usage | p. 129 |
| The Context | p. 129 |
| Modelling methods | p. 129 |
| Boundary conditions | p. 130 |
| Outlook | p. 130 |
| Slope stability estimation using GIS | p. 135 |
| The Context | p. 135 |
| The relevance of GIS to slope stability | p. 135 |
| Development of a landslide hazard assessment tool | p. 136 |
| Case Study: Diakopto, Greece | p. 138 |
| Landslide hazard zonation | p. 138 |
| Conclusions | p. 139 |
| Using 2D GIS for the 3D reconstruction of the Corno Zuccone sackung, Val Taleggio (Italy) | p. 141 |
| Context | p. 141 |
| The Corno Zuccone landslide | p. 141 |
| Using 2D GIS for 3D modelling in gOcad | p. 142 |
| Reconstructing the Corno Zuccone landslide | p. 142 |
| Discussion | p. 143 |
| Sedimentation modelling: data analysis in Rotterdam Harbour | p. 151 |
| Introduction | p. 151 |
| Sedimentary environments | p. 151 |
| Harbour study areas | p. 152 |
| Data mining | p. 153 |
| Data-driven modelling | p. 154 |
| Parameter evaluation | p. 156 |
| Conclusions | p. 158 |
| Fluid flow in fractured formations | p. 161 |
| Introduction | p. 161 |
| Laboratory experiments | p. 162 |
| Theoretical flow of a fluid | p. 164 |
| Flow through a pore | p. 164 |
| Flow through a single fracture | p. 166 |
| Discussion | p. 167 |
| Conclusions | p. 168 |
| Effect of strain-softening on settlement due to tunnelling in soft soil | p. 173 |
| Introduction | p. 173 |
| Constitutive models | p. 173 |
| Mohr-Coulomb model | p. 173 |
| Strain-Softening Model | p. 174 |
| Identification of parameters | p. 175 |
| Validation of the model | p. 175 |
| Deformation analysis | p. 179 |
| Input Data | p. 179 |
| Computation procedure | p. 179 |
| Conclusions | p. 187 |
| Dissemination Strategies | p. 189 |
| Dissemination of geoscience data: societal implications | p. 191 |
| Introduction | p. 191 |
| Data as a treasure | p. 192 |
| Data collection and storage | p. 194 |
| Data dissemination in the European context | p. 198 |
| Technical feasibility versus societal expectation | p. 198 |
| Discussion | p. 199 |
| An economic model for the dissemination of national geological survey products and services | p. 201 |
| Introduction | p. 201 |
| The Public Interest | p. 203 |
| Economic characteristics of geological surveys | p. 205 |
| The assets | p. 205 |
| What constitutes the monopoly of a geological survey within an ICT environment? | p. 206 |
| Is it in the public interest to allow a geological survey to compete in the market for products C(l)? | p. 209 |
| What should be the price-setting principles in relation to the strategic goals? | p. 209 |
| Management | p. 211 |
| The role of regulation | p. 212 |
| Regulatory reform | p. 213 |
| Conclusions | p. 214 |
| Access to national geoscience repositories using digital geoscience spatial models | p. 217 |
| The Context | p. 217 |
| The role of a Geological Survey Organisation | p. 217 |
| Strategies for preservation of information | p. 219 |
| The Digital Geoscience Spatial Model | p. 219 |
| The requirements for a Digital Geoscience Spatial Model | p. 221 |
| Conclusions | p. 223 |
| Dissemination and visualisation of earth system models for the Dutch subsurface | p. 225 |
| The Context | p. 225 |
| Digital database of the Dutch subsurface | p. 226 |
| Dissemination and visualisation system | p. 226 |
| The Web-based dissemination component | p. 226 |
| The Client-based 3D visualiser | p. 227 |
| Capabilities of the Geo3DJViewer | p. 229 |
| Future development of the viewer | p. 232 |
| Added value for geoscience interpretation | p. 233 |
| Conclusions | p. 233 |
| Property Prediction | p. 235 |
| Total Geological History: a web-based modelling approach to the anticipation, observation and understanding of siteconditions | p. 237 |
| The Context | p. 237 |
| Total Geological History | p. 238 |
| Initial models | p. 238 |
| Case history: Emerson Green | p. 238 |
| Developing a site specific model for Emerson Green | p. 239 |
| Geological Environment Matrix (GEM) | p. 239 |
| Digital data | p. 240 |
| Knowledge based systems | p. 241 |
| Data base systems | p. 241 |
| A middle course | p. 242 |
| Codifying knowledge | p. 242 |
| The role of case histories | p. 243 |
| Navigation | p. 243 |
| Communication issues | p. 243 |
| A solution | p. 244 |
| Interface design | p. 244 |
| Content | p. 245 |
| Summary | p. 246 |
| 3D modelling system for ground engineering | p. 253 |
| Introduction | p. 253 |
| Case Study 1: Foundations | p. 253 |
| Case Study 2: Tunnels | p. 255 |
| Conclusions | p. 259 |
| Rock mass quality assessment based on deformation: experience from recent tunnels | p. 261 |
| Introduction | p. 261 |
| Design approach | p. 261 |
| Prediction of tunnel convergence | p. 262 |
| Monitoring tunnel convergence | p. 263 |
| Tymfristos tunnel and the equivalent GSIe | p. 265 |
| Conclusions | p. 267 |
| Improving subsurface parameter estimation through guiding geophysical inversions with a priori geological data | p. 269 |
| Introduction | p. 269 |
| Testing Resistivity Inversion | p. 272 |
| Constructing a constraint compatible with `step' changes in resistivity | p. 275 |
| A field case study | p. 279 |
| Conclusions | p. 279 |
| Characterisation of void space utilising pore network models | p. 283 |
| Introduction | p. 283 |
| Pores | p. 283 |
| Fractures | p. 284 |
| Characterising the micro-porous matrix of a clay till | p. 284 |
| SEM image analysis | p. 286 |
| Conclusions | p. 287 |
| Assisting data interpretation: the cone penetration test | p. 293 |
| Introduction | p. 293 |
| The INURCS project | p. 293 |
| CPT interpretation | p. 294 |
| Automated segmentation of CPT sequences | p. 294 |
| Segment parameters | p. 296 |
| Fuzzy clustering | p. 297 |
| Traditional fuzzy c-means | p. 297 |
| Extended fuzzy c-means (`E-FCM') | p. 297 |
| Conclusions | p. 298 |
| Managing Uncertainty | p. 301 |
| Impact of geoinformatics on the emerging Geoscience Knowledge Integration Paradigm | p. 303 |
| Introduction | p. 303 |
| Addressing society's emerging concerns | p. 304 |
| From data to wisdom | p. 304 |
| The need for a GeoInfrastructure | p. 306 |
| Integrative protocols | p. 307 |
| Enabling geoscientists | p. 307 |
| GeoInfrastructure Value | p. 307 |
| Implementation of the GeoInfrastructure | p. 308 |
| The development of a `GeoPro' structure | p. 309 |
| The need for standards | p. 311 |
| Conclusions | p. 312 |
| Assessment of uncertainties in volume and yield estimations of clastic deposits | p. 313 |
| Introduction | p. 313 |
| Site investigation | p. 313 |
| Results of the site investigation | p. 314 |
| General geology of the Maas deposits | p. 314 |
| Geology of the southern and northern pilot sites | p. 314 |
| Sources of inaccuracy of data | p. 315 |
| Geostatistics for estimating volume and grading | p. 316 |
| Conclusions | p. 321 |
| Uncertainty with characterisation of soils | p. 323 |
| The Context | p. 323 |
| Geotechnical features of natural soils | p. 323 |
| Case study: Baixo Mondego | p. 325 |
| Geotechnical properties | p. 325 |
| Stress history and consolidation properties | p. 326 |
| Practical implications | p. 328 |
| Analysing uncertainty when modelling geological structures | p. 331 |
| Introduction | p. 331 |
| Sources of uncertainty | p. 331 |
| Methodology | p. 332 |
| Case Study | p. 333 |
| Main site characteristics | p. 333 |
| Applying a statistical model | p. 335 |
| Uncertainty ratings | p. 335 |
| Uncertainty aspects concerning the Olkiluoto site model | p. 337 |
| Conclusions | p. 339 |
| Uncertainty characterisation: reliability methods for slope stability | p. 341 |
| Introduction | p. 341 |
| Model formulation | p. 342 |
| Statistical characterisation of input variables | p. 344 |
| Reliability of a single component | p. 345 |
| Analytical methods | p. 345 |
| Simulation methods | p. 345 |
| Reliability of a parallel system | p. 349 |
| Simulation results | p. 350 |
| FORM and SORM results | p. 351 |
| Conclusions | p. 352 |
| The Way Ahead | p. 357 |
| Current themes, issues and challenges concerning the prediction of subsurface conditions | p. 359 |
| Challenges | p. 359 |
| The Research Challenges | p. 359 |
| Responses to the Representation Challenge | p. 361 |
| Responses to the Cognition Challenge | p. 363 |
| Responsibility for interpretation | p. 363 |
| The role of a geoscientist | p. 364 |
| Responses to the Uncertainty Challenge | p. 365 |
| Uncertainties in the Data | p. 366 |
| Uncertainties in the Modelling | p. 366 |
| Communicating Uncertainty | p. 367 |
| Time and scaling | p. 368 |
| Responses to the Data Challenge | p. 368 |
| Data storage | p. 369 |
| Data dissemination | p. 369 |
| Standardisation of data formats and models | p. 370 |
| Importance of providing metadata | p. 371 |
| Responses to the Simulation Challenge | p. 371 |
| Auditing and checking models | p. 372 |
| Simulation of reality | p. 372 |
| Responses to the Provider's Challenge | p. 373 |
| What can geoscience produce? | p. 373 |
| Incorporating knowledge within the model | p. 374 |
| New techniques | p. 374 |
| Responses to the User's Challenge | p. 375 |
| Geo-education | p. 376 |
| Conclusions | p. 377 |
| The Global Geoscientific Knowledge Network: overcoming the impediments to subsurface characterisation | p. 379 |
| Introduction | p. 379 |
| The role of technological innovation | p. 380 |
| Societal demands on the geosciences | p. 383 |
| The role and status of National Geological Surveys | p. 383 |
| Current international initiatives and programmes | p. 384 |
| Current research in geovisualisation | p. 385 |
| The geovisualisation research agenda | p. 386 |
| The ICA Research Network Operations | p. 387 |
| Impediments to subsurface characterisation | p. 388 |
| Strategy for overcoming impediments | p. 388 |
| Research concerning technological issues | p. 389 |
| Networking to support the research agenda | p. 390 |
| Research agenda for developing protocols | p. 390 |
| Establishing the future international network | p. 391 |
| Potential network partners | p. 392 |
| Index | p. 395 |
| Table of Contents provided by Publisher. All Rights Reserved. |
ISBN: 9783540437765
ISBN-10: 3540437762
Series: LECTURE NOTES IN EARTH SCIENCES
Published: 1st July 2003
Format: Paperback
Language: English
Number of Pages: 428
Audience: General Adult
Publisher: Springer Nature B.V.
Country of Publication: DE
Dimensions (cm): 22.86 x 15.24 x 1.91
Weight (kg): 0.6
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