Three-Dimensional Geological Modeling of the Shallow Subsurface and Its Application: A Case Study in Tongzhou District, Beijing, China
Source abstract
Abstract
Three-dimensional (3D) geological models are currently needed and used independently for urban development. The main difficulty in constructing a 3D geological model of a shallow subsurface is to determine the stratigraphic distribution. Highly variable properties and geometries of geological units beneath lead to difficulty. It is key to find a practicable and efficient way to construct a model in practical work. This study takes Tongzhou District (Beijing) as a case; 476 boreholes (40 newly drilled and 436 existing engineering boreholes) were utilized combined with the cross-section method to construct an integrated 3D geological model. The framework and analyses contributed to the following applications: (1) High-quality information from new boreholes and existing engineering boreholes were used to define stratigraphy and build cross-sections. (2) The resulting geological model (up to 50 m beneath Tongzhou area) shows many details of the shallow subsurface. This includes 10 major layers which were grouped into three cyclothems representing cyclic sequences of clay, interbedded silt, sand, and gravel with variable quantities of lenses. (3) The new model was used as a tool to visualize the depth and geometry variations below ground and to characterize a large variety of properties (for example, the compression modulus analyzed in this paper) that each unit contains, and then to evaluate the underground geological conditions. (4) An analysis of a dynamic monitoring model based on the resulting 3D model indicated that the geological units (sand and silty clay) at depths between 30 m and 40 m, with an average vertical deformation of 0.97 mm, from July 2019 to September 2020, are suitable for underground construction, from the perspective of vertical stability in the study area. Monitoring models that take time into consideration based on a 3D framework will be further explored.
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Research context
OpenAlex topics: Geological Modeling and Analysis · Methane Hydrates and Related Phenomena · 3D Modeling in Geospatial Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Beijing Institute of Geological Survey, Beijing 100195, China
Department of Computer Science, University of Idaho, 875 Perimeter Drive MS 1010, Moscow, ID 83844, USA
Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China
PetroChina Changqing Oilfield Company, Xi’an 710018, China
Beijing Municipal Institute of City Planning & Design, Beijing 100045, China
Funding
Three-Dimensional Modelling of Urban Underground Resources and Environment in Tongzhou District, Beijing City
References (61)
Show source-provided references
1. A discussion on high-quality development and sustainable utilization of China’s urban underground space in the new era
2. Benefits of a 3D geological model for major tunnelling works: An example from Farringdon, east–central London, UK10.1144/qjegh2011-066 ↗
3. Geophysical mapping and 3D geological modelling to support urban planning: A case study from Vejle, Denmark10.1016/j.jappgeo.2020.104130 ↗
4. Probabilistic 3D alignment optimization of underground transport infrastructure integrating GIS-based subsurface characterization10.1016/j.tust.2017.11.027 ↗
5. From concept towards reality: Developing the attributed 3D geological model of the shallow subsurface10.1144/1470-9236/04-072 ↗
6. GIS-based urban underground space resources evaluation toward three-dimensional land planning: A case study in Nantong, China10.1016/j.tust.2018.10.017 ↗
7. Real 3D geotechnical modeling in engineering geology: A case study from the inner city of Aachen, Germany10.1007/s10064-014-0640-6 ↗
8. An integrated geological, geotechnical and geophysical approach to identify predisposing factors for flowslide occurrence10.1016/j.enggeo.2019.105473 ↗
9. Assessing quality of urban underground spaces by coupling 3D geological models: The case study of Foshan city, South China10.1016/j.cageo.2015.07.016 ↗
10. Subsurface geological-geotechnical modelling to sustain underground civil planning10.1016/j.enggeo.2007.11.002 ↗
11. 3D GIS Supporting Underground Urbanisation in the City of Turin (Italy)10.1007/s10706-009-9255-2 ↗
12. Property attribution of 3D geological models in the Thames Gateway, London: New ways of visualising geoscientific information10.1007/s10064-008-0171-0 ↗
13. An approach to the integration of spatial data and systems for a 3D geo-information system10.1016/S0098-3004(98)00104-6 ↗
14. Building solid models from boreholes and user-defined cross-sections10.1016/S0098-3004(03)00051-7 ↗
15. An effective method for 3D geological modeling with multi-source data integration10.1016/j.cageo.2004.09.005 ↗
16. Using a Multiple Variogram Approach to Improve the Accuracy of Subsurface Geological Models10.1139/cjes-2016-0112 ↗
17. 3D geological modelling and geotechnical characteristics of Phnom Penh subsoils in Cambodia10.1016/j.enggeo.2014.06.010 ↗
18. Challenges and trends for geological modelling and visualisation10.1007/s10064-005-0015-0 ↗
19. Modeling method of 3D strata suitable for massive data
20. Building 3D solid models of sedimentary stratigraphic systems from borehole data: An automatic method and case studies10.1016/j.enggeo.2011.12.001 ↗
21. Three-Dimensional Implicit Stratigraphic Model Building From Remote Sensing Data on Tetrahedral Meshes: Theory and Application to a Regional Model of La Popa Basin, NE Mexico10.1109/TGRS.2012.2207727 ↗
22. Surface-Based 3D Modeling of Geological Structures10.1007/s11004-009-9244-2 ↗
23. 3D-reconstruction of complex geological interfaces from irregularly distributed and noisy point data10.1016/j.cageo.2006.11.014 ↗
24. Combining 3D geological modelling techniques to address variations in geology, data type and density—An example from Southern Denmark10.1016/j.cageo.2015.04.010 ↗
25. Automatic surface remeshing of 3D structural models at specified resolution: A method based on Voronoi diagrams10.1016/j.cageo.2013.09.008 ↗
26. Formal representation of 3D structural geological models10.1016/j.cageo.2016.02.007 ↗
27. 3D modeling using geognostic data: The case of the low valley of Foglia river (Italy)10.1016/j.cageo.2007.09.012 ↗
28. Characterization of the 3D geometry of flow-like landslides: A methodology based on the integration of heterogeneous multi-source data10.1016/j.enggeo.2011.05.003 ↗
29. Coupled modeling between geological structure fields and property parameter fields in 3D engineering geological space10.1016/j.enggeo.2013.10.016 ↗
30. 3D geomodelling combining implicit surfaces and Voronoi-based remeshing: A case study in the Lorraine Coal Basin (France)10.1016/j.cageo.2015.01.009 ↗
31. 3D ground-use optimisation for sustainable urban development planning: A case-study from Earls Court, London, UK10.1016/j.tust.2018.06.025 ↗
32. 3D modelling of the Excavation Damaged Zone using a Marked Point Process technique
33. Three-dimensional numerical modeling of land subsidence in Shanghai, China10.1007/s10040-016-1382-2 ↗
34. Urban geological mapping: Geotechnical data analysis for rational development planning10.1016/j.enggeo.2010.08.002 ↗
35. Combining borehole log-stratigraphies and ambient vibration data to build a 3D Model of the Lower Var Valley, Nice (France)10.1016/j.enggeo.2020.105588 ↗
36. Burke, H., Mathers, S.J., Williamson, J.P., Thorpe, S., Ford, J., and Terrington, R.L. (2014). The London Basin Superficial and Bedrock LithoFrame 50 Model, British Geological Survey.
37. Ford, J.R., Burke, H., Royse, K.R., and Mathers, S.J. (2008). The 3D Geology of London and the Thames Gateway: A Modern Approach to Geological Surveying and Its Relevance in the Urban Environment, British Geological Survey.
38. MacCormack, K.E., Berg, R.C., Kessler, H., Russell, H.A.J., and Thorleifson, L.H. (2019). 2019 Synopsis of Current Three-Dimensional Geological Mapping and Modeling in Geological Survey Organizations, Alberta Energy Regulator/Alberta Geological Survey. AER/AGS Special Report 112.
39. Development of a high-resolution 3D geological model for landfill leachate risk assessment10.1016/j.enggeo.2018.12.015 ↗
40. 3D stochastic modeling framework for Quaternary sediments using multiple-point statistics: A case study in Minjiang Estuary area, Southeast China10.1016/j.cageo.2019.104404 ↗
41. 3D Quaternary geological structure of Beijing plain
42. Spatial distribution of arsenic along groundwater flow path in Chaobai River alluvial–proluvial fan, North China Plain10.1007/s12665-019-8260-x ↗
43. A study of the fault activity in the capital circle
44. Research on paleoearthquakes in Jiuxian trenches across Nankou-Sunhe fault zone in Changping County of Beijing plain10.1007/BF02879793 ↗
45. Using borehole core analysis to reveal Late Quaternary paleoearthquakes along the Nankou-Sunhe Fault, Beijing10.1007/s11430-008-0081-9 ↗
46. BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives10.1016/j.tust.2020.103677 ↗
47. 3D geological modeling and engineering properties of shallow superficial deposits: A case study in Beijing, China10.1016/j.tust.2020.103390 ↗
48. Michel, D., and Roger, A. (1977). Geostatistical Ore Reserve Estimation, Elsevier Scientific Pub. Co.
49. Isaaks, E.H., and Srivastava, R.H. (1989). An Introduction to Applied Geostatistics, Oxford University Press.
50. A statistical approach to some basic mine valuation problems on the Witwatersrand
51. Five Geostatistical Models to Predict Soil Salinity from Electromagnetic Induction Data Across Irrigated Cotton10.2136/sssaj2001.653869x ↗
52. Assessing uncertainty in estimates with ordinary and indicator kriging10.1016/S0098-3004(00)00132-1 ↗
53. Influence of Spatial Structure on Accuracy of Interpolation Methods10.2136/sssaj2003.1564 ↗
54. A Comparison of Spatial Semivariogram Estimators and Corresponding Ordinary Kriging Predictors10.1080/00401706.1991.10484771 ↗
55. Spatial distribution of soil organic carbon and analysis of related factors in croplands of the black soil region, Northeast China10.1016/j.agee.2005.09.006 ↗
56. Webster, R., and Oliver, M.A. (2008). Geostatistics for Environmental Scientists, Second Edition, Wiley.10.1002/9780470517277 ↗
57. Schokker, J., Sandersen, P., Beer, H.D., Eriksson, I., Kallio, H., Kearsey, T., Pfleiderer, S., and Seither, A. (2023, January 26). 3D Urban Subsurface Modelling and Visualisation—A Review of Good Practices and Techniques to Ensure Optimal Use of Geological Information in Urban Planning. COST European Cooperation in Science and Technology Sub-Urban WG2 Report. Available online: https://www.google.com.hk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwi9suvtxPH8AhVfr1YBHSDnDOIQFnoECAkQAQ&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F317304360_3D_urban_subsurface_modelling_and_visualisation_-_a_review_of_good_practices_and_techniques_to_ensure_optimal_use_of_geological_information_in_urban_planning&usg=AOvVaw2M8yqT1ejj3boaKZ6frxeT.
58. Decision making with the analytic hierarchy process
59. Research on the Geological Suitability Evaluation System of Underground Space Resource Utilization in Beijing
60. 3D geological modelling of superficial deposits in Beijing City
61. 3D geological modelling at urban scale and mapping of ground movement susceptibility from gypsum dissolution: The Paris example (France)10.1016/j.enggeo.2008.12.010 ↗