Citation: | Ling-qing YAO, Mao PAN, Qiu-ming CHENG. 3D Property Modeling of Void Ratio by Cokriging. Journal of Earth Science, 2008, 19(4): 410-415. |
Void ratio measures compactness of ground soil in geotechnical engineering. When samples are collected in certain area for mapping void ratios, other relevant types of properties such as water content may be also analyzed. To map the spatial distribution of void ratio in the area based on these types of point, observation data interpolation is often needed. Owing to the variance of sampling density along the horizontal and vertical directions, special consideration is required to handle anisotropy of estimator. 3D property modeling aims at predicting the overall distribution of property values from limited samples, and geostatistical method can be employed naturally here because they help to minimize the mean square error of estimation. To construct 3D property model of void ratio, cokriging was used considering its mutual correlation with water content, which is another important soil parameter. Moreover, K-D tree was adopted to organize the samples to accelerate neighbor query in 3D space during the above modeling process. At last, spatial configuration of void ratio distribution in an engineering body was modeled through 3D visualization, which provides important information for civil engineering purpose.
Bentley, J. L., 1975. Multidimensional Binary Search Trees Used for Associative Searching. Communications of the ACM, 18 (9): 509-517. doi: 10.1145/361002.361007 |
Caers, J., 2001. Geostatistical Reservoir Modelling Using Statistical Pattern Recognition. Journal of Petroleum Science and Engineering, 29 (3): 177-188. |
Houlding, S., 1999. Direct Volume Estimation—A Geostatistical Technique for Mine Planning and Grade Control. Computers & Geosciences, 25 (10): 1113-1123. |
Karabassi, E. A., Papaioannou, G., Theoharis, T., 1999. A Fast Depth-Buffer-Based Voxelization Algorithm. Journal of Graphics Tools, 4 (4): 5-10. doi: 10.1080/10867651.1999.10487510 |
Kaufman, A., 1987. Efficient Algorithms for 3D Scan-Conversion of Parametric Curves, Surfaces, and Volumes. ACM SIGGRAPH, USA. 171-179. |
Matheron, G., 1963. Principles of Geostatistics. Econ. Geol. , 58: 1246-1266. doi: 10.2113/gsecongeo.58.8.1246 |
Saby, N., Arrouays, D., Boulonne, L., et al., 2006. Geostatistical Assessment of Pb in Soil around Paris, France. Science of the Total Environment, 367 (1): 212-221. doi: 10.1016/j.scitotenv.2005.11.028 |
Sepaskhah, A. R., Ahmadi, S. H., Shahbazi, A. R. N., 2005. Geostatistical Analysis of Sorptivity for a Soil under Tilled and No-Tilled Conditions. Soil & Tillage Research, 83 (2): 237-245. |
Wackernagel, H., 1998. Multivariate Geostatistics. 2nd Edition. Springer, Berlin. 291. |