Academic literature on the topic 'Mt Isa Region (Qld )'

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Journal articles on the topic "Mt Isa Region (Qld )"

1

Ginwal, H. S., Pradip Kumar, V. K. Sharma, A. K. Mandal, and C. E. Harwood. "Genetic Variability and Early Growth Performance of Eucalyptus tereticornis Sm. in Provenance cum Progeny Trials in India." Silvae Genetica 53, no. 1-6 (December 1, 2004): 148–53. http://dx.doi.org/10.1515/sg-2004-0027.

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Abstract Results of provenance cum progeny trials of Eucalyptus tereticornis Sm. laid out in 2002 at three sites viz. FRI Campus (Uttaranchal), Chiryanpur (Uttaranchal) and Midnapore (West Bengal) located in tropical region of India are reported and discussed. Thirteen provenances representing 91 families from Australia and Papua New Guinea (PNG) viz. Oro bay to Emo, PNG; Sirinumu Sogeri Plat, PNG; Warwick, QLD; Yurammie, SF, NSW; Buckenbowra SF, NSW; Selection flat SF559, NSW; Credition SF, QLD; Cardwell, QLD; Mitchell River MT Molloy, QLD; Mill stream archer creek, QLD; Helenvale, QLD; Walsh River, QLD; Burdekin River, QLD were evaluated from nursery stage to field performance (age 21months). As a local seed source open-pollinated seeds collected from selected interspecific Eucalyptus F1 hybrid trees of FRI-4, FRI-5 and Mysore gum (Eucalyptus teretirornis) were used to serve as check material (control). Significant differences between the provenances and families at age 21 months were observed for height, clean stem length, collar diameter and field survival. Significant provenance x site interaction was observed for height. In general the north Queensland provenances performed better and in particular two provenances viz. Walsh River, QLD and Burdekin River, QLD ranked the best in comparison to others at this age. Results indicate that significant genetic differences exist between the families and provenances of E. tereticornis. The growth traits were inter-correlated with each other. Geographic clinal variation pattern was observed in some of the growth traits viz. height, clean stem height and collar diameter. There were fair differences between phenotypic and genotypic coefficient of variability. Heritability (narrow sense) values were fairly good for height and clear stem length in comparison to collar diameter. The relative performance of the provenances was fairly consistent throughout test sites.
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2

Murphy, F. C. "Preface: Multiscale analysis of the Mt Isa–McArthur region, Northern Australia." Australian Journal of Earth Sciences 58, no. 8 (December 2011): 847–48. http://dx.doi.org/10.1080/08120099.2011.633985.

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3

Saygin, E., H. McQUEEN, L. J. Hutton, B. L. N. Kennett, and G. Lister. "Structure of the Mt Isa region from seismic ambient noise tomography." Australian Journal of Earth Sciences 60, no. 6-7 (October 2013): 707–18. http://dx.doi.org/10.1080/08120099.2013.837098.

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4

Murphy, F. C., L. J. Hutton, J. L. Walshe, J. S. Cleverley, M. A. Kendrick, J. Mclellan, M. J. Rubenach, et al. "Mineral system analysis of the Mt Isa–McArthur River region, Northern Australia." Australian Journal of Earth Sciences 58, no. 8 (December 2011): 849–73. http://dx.doi.org/10.1080/08120099.2011.606333.

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5

Betts, P. G., G. S. Lister, and K. S. Pound. "Architecture of a Palaeoproterozoic Rift System: Evidence from the Fiery Creek Dome region, Mt Isa terrane." Australian Journal of Earth Sciences 46, no. 4 (August 1999): 533–54. http://dx.doi.org/10.1046/j.1440-0952.1999.00721.x.

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6

Le, Truong X., Paul H. G. M. Dirks, Ioan V. Sanislav, Jan M. Huizenga, Helen A. Cocker, and Grace N. Manestar. "Geochronological constraints on the geological history and gold mineralization in the Tick Hill region, Mt Isa Inlier." Precambrian Research 366 (November 2021): 106422. http://dx.doi.org/10.1016/j.precamres.2021.106422.

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7

Drummond, Barry J., Bruce R. Goleby, A. J. Owen, A. N. Yeates, C. Swager, Y. Zhang, and J. K. Jackson. "Seismic reflection imaging of mineral systems: Three case histories." GEOPHYSICS 65, no. 6 (November 2000): 1852–61. http://dx.doi.org/10.1190/1.1444869.

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Mineral deposits can be described in terms of their mineral systems, i.e., fluid source, migration pathway, and trap. Source regions are difficult to recognize in seismic images. Many orebodies lie on or adjacent to major fault systems, suggesting that the faults acted as fluid migration pathways through the crust. Large faults often have broad internal zones of deformation fabric, which is anisotropic. This, coupled with the metasomatic effects of fluids moving along faults while they are active, can make the faults seismically reflective. For example, major gold deposits in the Archaean Eastern Goldfields province of Western Australia lie in the hanging‐wall block of regional‐scale faults that differ from other nearby faults by being highly reflective and penetrating to greater depths in the lower crust. Coupled thermal, mechanical, and fluid‐flow modeling supports the theory that these faults were fluid migration pathways from the lower to the upper crust. Strong reflections are also recorded from two deeply penetrating faults in the Proterozoic Mt. Isa province in northeastern Australia. Both are closely related spatially to copper and copper‐gold deposits. One, the Adelheid fault, is also adjacent to the large Mt. Isa silver‐lead‐zinc deposit. In contrast, other deeply penetrating faults that are not intrinsically reflective but are mapped in the seismic section on the basis of truncating reflections have no known mineralization. Regional seismic profiles can therefore be applied in the precompetitive area selection stage of exploration. Applying seismic techniques at the orebody scale can be difficult. Orebodies often have complex shapes and reflecting surfaces that are small compared to the diameter of the Fresnel zone for practical seismic frequencies. However, if the structures and alteration haloes around the orebodies themselves, seismic techniques may be more successful. Strong bedding‐parallel reflections were observed from the region of alteration around the Mt. Isa silver‐lead‐zinc orebodies using high‐resolution profiling. In addition, a profile in Tasmania imaged an internally nonreflective bulge within the Que Hellyer volcanics, suggesting a good location to explore for a volcanic hosted massive sulfide deposit. These case studies provide a pointer to how seismic techniques could be applied during mineral exploration, especially at depths greater than those being explored with other techniques.
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8

Hodgkinson, Jane H., Stephen J. Fraser, and Paul Donchak. "Using self-organising maps to derive lithological boundaries from geophysically-derived data in the Mt. Isa region, Queensland." ASEG Extended Abstracts 2012, no. 1 (December 2012): 1–4. http://dx.doi.org/10.1071/aseg2012ab359.

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9

MAHONY, MICHAEL J., HARRY B. HINES, TERRY BERTOZZI, STEPHEN V. MAHONY, DAVID A. NEWELL, JOHN M. CLARKE, and STEPHEN C. DONNELLAN. "A new species of Philoria (Anura: Limnodynastidae) from the uplands of the Gondwana Rainforests World Heritage Area of eastern Australia." Zootaxa 5104, no. 2 (February 25, 2022): 209–41. http://dx.doi.org/10.11646/zootaxa.5104.2.3.

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The six species of mountain frogs (Philoria: Limnodynastidae: Anura) are endemic to south-eastern Australia. Five species occur in headwater systems in mountainous north-eastern New South Wales (NSW) and south-eastern Queensland (Qld), centred on the Gondwana Rainforests of Australia World Heritage Area. A previous molecular genetic analysis identified divergent genetic lineages in the central and western McPherson Ranges region of Qld and NSW, but sampling was inadequate to test the species status of these lineages. With more comprehensive geographic sampling and examination of the nuclear genome using SNP analysis, we show that an undescribed species, P. knowlesi sp. nov., occurs in the central and western McPherson Ranges (Levers Plateau and Mount Barney complex). The new species is not phylogenetically closely related to P. loveridgei in the nuclear data but is related to one of two divergent lineages within P. loveridgei in the mtDNA data. We postulate that the discordance between the nuclear and mtDNA outcomes is due to ancient introgression of the mtDNA genome from P. loveridgei into the new species. Male advertisement calls and multivariate morphological analyses do not reliably distinguish P. knowlesi sp. nov. from any of the Philoria species in northeast NSW and southeast Qld. The genetic comparisons also enable us to define further the distributions of P. loveridgei and P. kundagungan. Samples from the Lamington Plateau, Springbrook Plateau, Wollumbin (Mt Warning National Park), and the Nightcap Range, are all P. loveridgei, and its distribution is now defined as the eastern McPherson Ranges and Tweed caldera. Philoria kundagungan is distributed from the Mistake Mountains in south-eastern Qld to the Tooloom Scrub on the Koreelah Range, southwest of Woodenbong, in NSW, with two subpopulations identified by SNP analysis. We therefore assessed the IUCN threat category of P. loveridgei and P. kundagungan and undertook new assessments for each of its two subpopulations and for the new taxon P. knowlesi sp. nov., using IUCN Red List criteria. Philoria loveridgei, P. kundagungan (entire range and northern subpopulation separately) and P. knowlesi sp. nov. each meet criteria for “Endangered” (EN B2(a)(b)[i, iii]). The southern subpopulation of P. kundagungan, in the Koreelah Range, meets criteria for “Critically Endangered” (CE B2(a)(b)[i, iii]). These taxa are all highly threatened due to the small number of known locations, the restricted nature of their breeding habitat, and direct and indirect threats from climate change, and the potential impact of the amphibian disease chytridiomycosis. Feral pigs are an emerging threat, with significant impacts now observed in Philoria breeding habitat in the Mistake Mountains.
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10

Wang, Baohang, Qin Zhang, Antonio Pepe, Pietro Mastro, Chaoying Zhao, Zhong Lu, Wu Zhu, Chengsheng Yang, and Jing Zhang. "Analysis of Groundwater Depletion/Inflation and Freeze–Thaw Cycles in the Northern Urumqi Region with the SBAS Technique and an Adjusted Network of Interferograms." Remote Sensing 13, no. 11 (May 29, 2021): 2144. http://dx.doi.org/10.3390/rs13112144.

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This work investigated the large-scale ground deformations threatening the Northern Urumqi district, China, which are connected to groundwater exploitation and the seasonal freeze–thaw cycles that characterize this frozen region. Ground deformations can be well captured by satellite data using a multi-temporal interferometric synthetic aperture radar (Mt-InSAR) approach. The accuracy of the achievable ground deformation products (e.g., mean displacement time series and related ground displacement time series) critically depends on the number and quality of the selected interferograms. This paper presents a straightforward interferogram selection algorithm that can be applied to identify an optimal network of small baseline (SB) interferograms. The selected SB interferograms are then used to produce ground deformation products using the well-known small baseline subset (SBAS) Mt-InSAR algorithm. The developed interferogram selection algorithm (ISA) permits the selection of the group of SB data pairs that minimize the relative error of the mean ground deformation velocity. Experiments were carried out using a group of 102 Sentinel-1B SAR data collected from 12 April 2017 to 29 October 2020. This research study shows that the investigated farmland region is characterized by a maximum ground deformation rate of about 120 mm/year. Periodic groundwater overexploitation, coupled with irrigation and freeze–thaw phases, is also responsible for seasonal (one-year) ground displacement signals, with oscillation amplitudes up to 120 mm in the zones of maximum displacement.
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