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PB-ZN MINERAL RESOURCES MANAGEMENT AND OCCURRENCES EVALUATION USING GIS AND 2D/3D SPATIAL ANALYSIS AND MODELLING. CASE STUDY: FAJ LAHDOUM AREA,TUNISIA

Slama, Tarek, Laridhi-Ouazaa, Najia

First published: 2015https://doi.org/10.5593/sgem2015/b22/s11.127View metrics

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Title
PB-ZN MINERAL RESOURCES MANAGEMENT AND OCCURRENCES EVALUATION USING GIS AND 2D/3D SPATIAL ANALYSIS AND MODELLING. CASE STUDY: FAJ LAHDOUM AREA,TUNISIA
Authors
Slama, Tarek, Laridhi-Ouazaa, Najia
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 15th International Multidisciplinary Scientific GeoConference SGEM2015, INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2015
Pages
1019-1026
ISSN
1314-2704
ISBN
978-619-7105-35-3
Language
en
Publication type
Conference Paper
References20

  1. Boucher A. Dimitrakopoulos R. Multivariate block-support simulation of the Yandi iron ore deposit, Western Australia, Mathematical Geosciences, vol. 44, pp 449- 468, 2012.

  2. Carranza E. J. M. Mangaoang J.C. Hale M., Application of mineral exploration models and GIS to generate mineral potential maps as input for optimum land-use planning in the Philippines, Natural Resources Research, vol. 8, pp 165-173, 1999.

  3. Harris J.R. Lemkow D. Jefferson C. Wright D. Flack H. Mineral potential modelling for the Greater Nahanni ecosystem using GIS based analytical methods, Natural Resources Research, vol. 17, pp 51-78, 2008.

  4. Jianping C. Gongwen W. Changbo H. Quantitative prediction and evaluation of mineral resources based on GIS: a case study in Sanjiang region, Southwestern China, Natural Resources Research, vol. 14, pp 285-294, 2005.

  5. Kennedy M. Introducing Geographic Information Systems with ArcGIS: A workbook approach to learning GIS, Third edition, Wiley, pp 227-256, 2013.

  6. Kresic K. Mikszewski A. Hydrological conceptual site models: Data analysis and visualization, Tyalor and Francis Group, pp 117-197, 2013.

  7. Luo X. Dimitrakopoulos R. Data driven fuzzy analysis in quantitative mineral resource assessment, Computers & Geosciences, vol. 29, pp 2-12, 2003.

  8. Scott M. Dimitrakopoulos R. Quantitative analysis of mineral resources for strategic planning: Implications for Australian geological surveys, Natural Resources Research, vol. 10, issue3, pp 159-177, 2001.

  9. Slama T. Deffontaines B. Turki M. M. Morphotectonic and Morphodynamic investigations revealed by isobase surfaces analysis and derived differential mapping using GIS, Teboursouk area, northern Tunisia, Earth Science Informatics, pp 1 -15, 2015 (in press), DOI: 10.1007/s12145-015-0208-4

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations

  10. Zeiler M. Modeling our World. The ESRI Guide to Geodatabase Design, ESRI, New York, pp 12-60, 1999. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

  11. Boucher A. Dimitrakopoulos R. Multivariate block-support simulation of the Yandi iron ore deposit, Western Australia, Mathematical Geosciences, vol. 44, pp 449- 468, 2012.

  12. Carranza E. J. M. Mangaoang J.C. Hale M., Application of mineral exploration models and GIS to generate mineral potential maps as input for optimum land-use planning in the Philippines, Natural Resources Research, vol. 8, pp 165-173, 1999.

  13. Harris J.R. Lemkow D. Jefferson C. Wright D. Flack H. Mineral potential modelling for the Greater Nahanni ecosystem using GIS based analytical methods, Natural Resources Research, vol. 17, pp 51-78, 2008.

  14. Jianping C. Gongwen W. Changbo H. Quantitative prediction and evaluation of mineral resources based on GIS: a case study in Sanjiang region, Southwestern China, Natural Resources Research, vol. 14, pp 285-294, 2005.

  15. Kennedy M. Introducing Geographic Information Systems with ArcGIS: A workbook approach to learning GIS, Third edition, Wiley, pp 227-256, 2013.

  16. Kresic K. Mikszewski A. Hydrological conceptual site models: Data analysis and visualization, Tyalor and Francis Group, pp 117-197, 2013.

  17. Luo X. Dimitrakopoulos R. Data driven fuzzy analysis in quantitative mineral resource assessment, Computers & Geosciences, vol. 29, pp 2-12, 2003.

  18. Scott M. Dimitrakopoulos R. Quantitative analysis of mineral resources for strategic planning: Implications for Australian geological surveys, Natural Resources Research, vol. 10, issue3, pp 159-177, 2001.

  19. Slama T. Deffontaines B. Turki M. M. Morphotectonic and Morphodynamic investigations revealed by isobase surfaces analysis and derived differential mapping using GIS, Teboursouk area, northern Tunisia, Earth Science Informatics, pp 1 -15, 2015 (in press), DOI: 10.1007/s12145-015-0208-4

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations

  20. Zeiler M. Modeling our World. The ESRI Guide to Geodatabase Design, ESRI, New York, pp 12-60, 1999. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

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