Incorporating fine-scale ground-penetrating radar data into the mapping of lateral variability of a laterite-type bauxite horizon
Ground-penetrating radar (GPR) offers an inexpensive and rapid method for delineating the laterite profiles by acquiring fine-scale data from the ground. In a case study, a GPR survey was conducted at the Weipa bauxite mine in Australia, in which numerous pick points corresponding to the depth to th...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Maney Publishing
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/12824 |
| _version_ | 1848748183957536768 |
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| author | Erten, Oktay McAndrew, L. Kizil, M. Topal, Erkan |
| author_facet | Erten, Oktay McAndrew, L. Kizil, M. Topal, Erkan |
| author_sort | Erten, Oktay |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Ground-penetrating radar (GPR) offers an inexpensive and rapid method for delineating the laterite profiles by acquiring fine-scale data from the ground. In a case study, a GPR survey was conducted at the Weipa bauxite mine in Australia, in which numerous pick points corresponding to the depth to the bauxite/ironstone boundary were acquired from the ground. These pick points were subsequently merged with the available exploration borehole data using four prediction algorithms, including standard linear regression (SLR), simple kriging with varying local means (SKLM), Bayesian integration (BAY), and ordinary co-located cokriging (OCCK). The required structural inputs for the aforementioned algorithms were derived from the modelled auto and cross-semi-variograms. The cross-validation results suggest that the SKLM approach yielded the most robust estimates. The comparison of these estimates with the actual mine floor also indicates that the inclusion of ancillary GPR data substantially improved the estimation quality. |
| first_indexed | 2025-11-14T07:01:00Z |
| format | Journal Article |
| id | curtin-20.500.11937-12824 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:01:00Z |
| publishDate | 2015 |
| publisher | Maney Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-128242017-09-13T15:01:03Z Incorporating fine-scale ground-penetrating radar data into the mapping of lateral variability of a laterite-type bauxite horizon Erten, Oktay McAndrew, L. Kizil, M. Topal, Erkan Ground-penetrating radar (GPR) offers an inexpensive and rapid method for delineating the laterite profiles by acquiring fine-scale data from the ground. In a case study, a GPR survey was conducted at the Weipa bauxite mine in Australia, in which numerous pick points corresponding to the depth to the bauxite/ironstone boundary were acquired from the ground. These pick points were subsequently merged with the available exploration borehole data using four prediction algorithms, including standard linear regression (SLR), simple kriging with varying local means (SKLM), Bayesian integration (BAY), and ordinary co-located cokriging (OCCK). The required structural inputs for the aforementioned algorithms were derived from the modelled auto and cross-semi-variograms. The cross-validation results suggest that the SKLM approach yielded the most robust estimates. The comparison of these estimates with the actual mine floor also indicates that the inclusion of ancillary GPR data substantially improved the estimation quality. 2015 Journal Article http://hdl.handle.net/20.500.11937/12824 10.1179/1743286314Y.0000000073 Maney Publishing restricted |
| spellingShingle | Erten, Oktay McAndrew, L. Kizil, M. Topal, Erkan Incorporating fine-scale ground-penetrating radar data into the mapping of lateral variability of a laterite-type bauxite horizon |
| title | Incorporating fine-scale ground-penetrating radar data into the mapping of lateral variability of a laterite-type bauxite horizon |
| title_full | Incorporating fine-scale ground-penetrating radar data into the mapping of lateral variability of a laterite-type bauxite horizon |
| title_fullStr | Incorporating fine-scale ground-penetrating radar data into the mapping of lateral variability of a laterite-type bauxite horizon |
| title_full_unstemmed | Incorporating fine-scale ground-penetrating radar data into the mapping of lateral variability of a laterite-type bauxite horizon |
| title_short | Incorporating fine-scale ground-penetrating radar data into the mapping of lateral variability of a laterite-type bauxite horizon |
| title_sort | incorporating fine-scale ground-penetrating radar data into the mapping of lateral variability of a laterite-type bauxite horizon |
| url | http://hdl.handle.net/20.500.11937/12824 |