Mineral Potential Modelling for the Greater Nahanni Ecosystem Using GIS Based Analytical Methods.
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| Title: | Mineral Potential Modelling for the Greater Nahanni Ecosystem Using GIS Based Analytical Methods. |
|---|---|
| Authors: | Harris, J. R.1 harris@nrcan.gc.ca, Lemkow, D.1, Jefferson, C.2, Wright, D.2, Falck, H.3 |
| Source: | Natural Resources Research. Jun2008, Vol. 17 Issue 2, p51-78. 28p. 2 Diagrams, 4 Charts, 1 Graph, 1 Map. |
| Subject Terms: | *Natural resources management, *Mines & mineral resources, *National parks & reserves, *Power resources, *Electric power, *Ecosystem management, *Energy minerals, Geographic information systems |
| Geographic Terms: | Canada |
| Abstract: | Mineral potential within the Greater Nahanni Ecosystem (GNE) was modelled in a Geographic Information System (GIS) for four different deposit types: (1) SEDEX (stratiform shale-hosted sedimentary exhalative Zn-Pb-Ag), (2) 'Carbonate-Fault' (carbonate-hosted zinc-lead-silver associated with major faults), (3) 'Intrusion-Related' (includes skarn, rare metals and gemstones) and (4) Carlin-Type gold as lode and/or derived placer deposits. This mineral potential modelling study integrates data collected during the Nahanni Mineral and Energy Resource Assessment (MERA) undertaken from 2003 to 2007. The results have contributed to the process of determining the geographic boundaries of the proposed expansion of the Nahanni National Park Reserve. Four mineral potential maps were produced (one for each deposit type) using a knowledge-driven approach. A weighting scheme based on integrated mineral deposit and regional geological knowledge was derived for the various evidence maps for each deposit model using expert opinion. The four potential maps were then combined into a final potential map using a maximum operator. Plots showing the efficiency of the models (mineral potential maps) for predicting the known occurrences of the four deposit types show that partial data sets provide reasonable predictions of the remaining known mineral prospects, occurrences and deposits. Hydrocarbon potential from Nahanni MERA 1 was added to the final potential map to ensure that both mineral and energy potential data were incorporated into the park configuration modelling. [ABSTRACT FROM AUTHOR] |
| Copyright of Natural Resources Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 32919953 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Mineral Potential Modelling for the Greater Nahanni Ecosystem Using GIS Based Analytical Methods. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Harris%2C+J%2E+R%2E%22">Harris, J. R.</searchLink><relatesTo>1</relatesTo><i> harris@nrcan.gc.ca</i><br /><searchLink fieldCode="AR" term="%22Lemkow%2C+D%2E%22">Lemkow, D.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Jefferson%2C+C%2E%22">Jefferson, C.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wright%2C+D%2E%22">Wright, D.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Falck%2C+H%2E%22">Falck, H.</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: Natural Resources Research. Jun2008, Vol. 17 Issue 2, p51-78. 28p. 2 Diagrams, 4 Charts, 1 Graph, 1 Map. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Natural+resources+management%22">Natural resources management</searchLink><br />*<searchLink fieldCode="DE" term="%22Mines+%26+mineral+resources%22">Mines & mineral resources</searchLink><br />*<searchLink fieldCode="DE" term="%22National+parks+%26+reserves%22">National parks & reserves</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+resources%22">Power resources</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power%22">Electric power</searchLink><br />*<searchLink fieldCode="DE" term="%22Ecosystem+management%22">Ecosystem management</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+minerals%22">Energy minerals</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+information+systems%22">Geographic information systems</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Canada%22">Canada</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Mineral potential within the Greater Nahanni Ecosystem (GNE) was modelled in a Geographic Information System (GIS) for four different deposit types: (1) SEDEX (stratiform shale-hosted sedimentary exhalative Zn-Pb-Ag), (2) 'Carbonate-Fault' (carbonate-hosted zinc-lead-silver associated with major faults), (3) 'Intrusion-Related' (includes skarn, rare metals and gemstones) and (4) Carlin-Type gold as lode and/or derived placer deposits. This mineral potential modelling study integrates data collected during the Nahanni Mineral and Energy Resource Assessment (MERA) undertaken from 2003 to 2007. The results have contributed to the process of determining the geographic boundaries of the proposed expansion of the Nahanni National Park Reserve. Four mineral potential maps were produced (one for each deposit type) using a knowledge-driven approach. A weighting scheme based on integrated mineral deposit and regional geological knowledge was derived for the various evidence maps for each deposit model using expert opinion. The four potential maps were then combined into a final potential map using a maximum operator. Plots showing the efficiency of the models (mineral potential maps) for predicting the known occurrences of the four deposit types show that partial data sets provide reasonable predictions of the remaining known mineral prospects, occurrences and deposits. Hydrocarbon potential from Nahanni MERA 1 was added to the final potential map to ensure that both mineral and energy potential data were incorporated into the park configuration modelling. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Natural Resources Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11053-008-9069-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 51 Subjects: – SubjectFull: Natural resources management Type: general – SubjectFull: Mines & mineral resources Type: general – SubjectFull: National parks & reserves Type: general – SubjectFull: Power resources Type: general – SubjectFull: Electric power Type: general – SubjectFull: Ecosystem management Type: general – SubjectFull: Energy minerals Type: general – SubjectFull: Geographic information systems Type: general – SubjectFull: Canada Type: general Titles: – TitleFull: Mineral Potential Modelling for the Greater Nahanni Ecosystem Using GIS Based Analytical Methods. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Harris, J. R. – PersonEntity: Name: NameFull: Lemkow, D. – PersonEntity: Name: NameFull: Jefferson, C. – PersonEntity: Name: NameFull: Wright, D. – PersonEntity: Name: NameFull: Falck, H. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2008 Type: published Y: 2008 Identifiers: – Type: issn-print Value: 15207439 Numbering: – Type: volume Value: 17 – Type: issue Value: 2 Titles: – TitleFull: Natural Resources Research Type: main |
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