The lithogeochemical signatures of hydrothermal alteration in the Waihi epithermal district, New Zealand

References

• Ague JJ, van Harden JLM. 1996. Assessing metasomatic mass and volume changes using the bootstrap, with application to deep crustal hydrothermal alteration of marble. Economic Geology. 91:1169–1182. doi: 10.2113/gsecongeo.91.7.1169
   Web of Science ®Google Scholar
• Aitchison J. 1982. The statistical analysis of compositional data. Journal of the Royal Statistical Society, Series B 44:139–177.
   Google Scholar
• Aitchison J. 1986. The statistical analysis of compositional data. London, UK: Chapman & Hall Ltd. p. 416.
   Google Scholar
• Berry R, Hunt J, McKnight S. 2011. Estimating mineralogy in bulk samples: AUSIMM International Geometallurgy Conference, 1st, Brisbane, Australia, 2011, Proceedings. p. 153–156.
   Google Scholar
• Booden MA, Smith IEM, Mauk JL, Black PM. 2012. Geochemical and isotopic development of the Coromandel Volcanic Zone, northern New Zealand, since 18 Ma. Journal of Volcanology and Geothermal Research. 219-220:15–32. doi: 10.1016/j.jvolgeores.2012.01.005
   Web of Science ®Google Scholar
• Braithwaite R, Faure K. 2002. The Waihi epithermal gold-silver-base metal sulphide-quartz vein system, New Zealand: temperature and salinity controls on electrum and sulphide deposition. Economic Geology. 97:269–290. doi: 10.2113/gsecongeo.97.2.269
   Web of Science ®Google Scholar
• Brathwaite R. 1989. Geology and exploration of the Karangahake gold silver deposit. AUSIMM Monograph. 13:73–78.
   Google Scholar
• Brathwaite R, Christie A. 1996. Geology of the Waihi area: part sheets T13 and U13. Scale 1:50 000. Institute of Geological & Nuclear Sciences geological map 21. 64 p.
   Google Scholar
• Browne PRL. 1978. Hydrothermal alteration in active geothermal fields. Annual Review of Earth and Planetary Sciences. 6:229–248. doi: 10.1146/annurev.ea.06.050178.001305
   Web of Science ®Google Scholar
• Carrasco T, Girty G. 2015. Identifying a reference frame for calculating mass change during weathering: A review and case study utilizing the C# program assessing element immobility and critical ratio methodology. Catena. 125:146–161. doi: 10.1016/j.catena.2014.10.009
   Web of Science ®Google Scholar
• Christie AB, Simpson MP, Brathwaite RL, Mauk JL. 2007. Epithermal Au–Ag and related deposits of the Hauraki goldfield, Coromandel volcanic zone, New Zealand. Economic Geology. 102:785–816. doi: 10.2113/gsecongeo.102.5.785
   Web of Science ®Google Scholar
• Cooke D, Simmons S. 2000. Characteristics and genesis of epithermal gold deposits. Economic Geology Special Publication. 13:221–244.
   Google Scholar
• Cox K, Bell J, Pankhurst R. 1979. The interpretation of igneous rocks. London: George Allen and Unwin. p. 450.
   Google Scholar
• Demšar J, Curk T, Erjavec A, Gorup C, Hocevar T, Milutinovic M, Mozina M, Toplak M, Staric A, et al. 2013. Orange: data mining toolbox in Python. Journal of Machine Learning Research. 14:2349–2353.
   Web of Science ®Google Scholar
• Edbrooke SW (compiler). 2001. Geology of the Auckland area, Institute of Geological and Nuclear Sciences 1:250 000 geological map 3. Lower Hutt, New Zealand: Institute of Geological and Nuclear Sciences Ltd. 1 sheet + 74 p.
   Google Scholar
• Egozcue JJ, Pawlowsky-Glahn V, Mateu-Figueras G, Barcelo-Vidal C. 2003. Isometric log ratio transformations for compositional data analysis. Mathematical Geology. 35:279–300. doi: 10.1023/A:1023818214614
   Google Scholar
• Escolme A, Berry R, Hunt J, Halley S, Potma W. 2019. Predictive models of mineralogy from whole-rock assay data: case study from Productora Cu-Au-Mo deposit, Chile. Economic Geology. doi:10.5382/econgeo.2019.4650.
   Google Scholar
• Gazley MF, Collins KS, Robertson J, Hines BR, Fisher LA, McFarlane A. 2015. Application of principal component analysis and cluster analysis to mineral exploration and mine geology. AusIMM New Zealand Branch Annual Conference Proceedings. p. 131–139.
   Google Scholar
• Gazley M, Tutt C, Fisher L, Latham A, Duclaux G, Taylor M, de Beer S. 2014. Objective geological logging using portable XRF geochemical multi-element data at Plutonic gold mine, Marymia Inlier. Journal of Geochemical Exploration. 143:74–83. doi: 10.1016/j.gexplo.2014.03.019
   Web of Science ®Google Scholar
• Grant JA. 1986. The Isocon Diagram — a simple solution to Gresens Equation for metasomatic alteration. Economic Geology. 81:1976–1982. doi: 10.2113/gsecongeo.81.8.1976
   Web of Science ®Google Scholar
• Gresens RL. 1967. Composition-volume relationships of metasomatism. Chemical Geology. 2:47–65. doi: 10.1016/0009-2541(67)90004-6
   Google Scholar
• Grieve PL, Corbett GJ, Leach TM. 2006. Exploration at Ohakuri North epithermal Au–Ag prospect. Taupo Volcanic Zone: AusIMM Monograph. 25:197–202.
   Google Scholar
• Halley S, Wood D, Stolze A, Godfroid J, Goswell H, Jack D. 2016. Using multielement geochemistry to map multiple components of a mineral system: case study from a sediment-shoted Cu–Ni camp, NW Province. Zambia. SEG Newsletter. 104(1):15–21.
   Google Scholar
• Hedenquist JW, Ar A, Gonzalez-Urien E. 2000. Exploration for epithermal gold deposits. Society of Economic Geologists Review. 13:245–277.
   Google Scholar
• Hood S, Cracknell M, Gazley M, Reading A. 2019. Element mobility and spatial zonation associated with the Archean Hamlet orogenic Au deposit, western Australia: implications for fluid pathways in shear zones. Chemical Geology. 514:10–26. doi: 10.1016/j.chemgeo.2019.03.022
   Web of Science ®Google Scholar
• Hughes R, Barker SLL. 2017. Using portable XRF to infer adularia halos within the Waihi Au–Ag system, New Zealand. Geochemistry: Exploration, Environment, Analysis 18:97–108.
   Web of Science ®Google Scholar
• Kaufman L, Rousseeuw PJ. 2005. Finding groups in data: an introduction to cluster analysis. New York: Wiley.
   Google Scholar
• MacLean W, Barrett T. 1993. Lithogeochemical techniques using immobile elements. Journal of Geochemical Exploration. 48:109–133. doi: 10.1016/0375-6742(93)90002-4
   Web of Science ®Google Scholar
• Madeisky H, Stanley C. 1993. Lithogeochemical exploration of metasomatic zones associated with Volcanic-hosted Massive sulfide deposits using Pearce element ratio analysis. International Geology Review. 35:1121–1148. doi: 10.1080/00206819309465580
   Google Scholar
• Mauk JL, Simpson MP. 2007. Geochemistry and stable isotope composition of altered rocks at the Golden cross epithermal Au–Ag deposit, New Zealand. Economic Geology. 102:841–871. doi: 10.2113/gsecongeo.102.5.841
   Web of Science ®Google Scholar
• Mauk JL, Skinner EG, Fyfe SJ, Menzie AH, Lowers HA, Koenig AE. 2013. Ore mineralogy and textural zonation in the world-class epithermal Waihi vein system. Hauraki Goldfield. AusIMM Monograph. 31:293–301.
   Google Scholar
• McDonough W, Sun W. 1995. The composition of the earth. Chemical Geology. 120:223–253. doi: 10.1016/0009-2541(94)00140-4
   Web of Science ®Google Scholar
• Pearce JA, Cann JR. 1973. Tectonic setting of basic volcanic rocks determined using trace element analyses. Earth and Planetary Science Letters. 19:290–300. doi: 10.1016/0012-821X(73)90129-5
   Web of Science ®Google Scholar
• Ripley BD. 1996. Pattern recognition and neural networks. Cambridge: Cambridge University Press.
   Google Scholar
• Simmons SF, Browne PRL. 2000. Hydrothermal minerals and precious metals in the Broadlands-Ohaaki geothermal system: implications for understanding low-sulfidation epithermal environments. Economic Geology. 95:971–999. doi: 10.2113/gsecongeo.95.5.971
   Web of Science ®Google Scholar
• Simmons SF, White NC, John DA. 2005. Geological characteristics of epithermal precious and base metal deposits. Economic Geology 100th Anniversary Volume, p. 495–522.
   Google Scholar
• Simpson MP, Christie AB. 2019. Hydrothermal alteration mineralogical footprints for New Zealand epithermal Au–Ag deposits. New Zealand Journal of Geology and Geophysics. doi:10.1080/00288306.2019.1577278.
   Web of Science ®Google Scholar
• Simpson MP, Gazley MF, Stuart AGJ, Pearce MA, Birchall R, Chappell D, Christie AB, Stevens MR. 2019. Hydrothermal alteration at the Karangahake epithermal Au–Ag deposit, Hauraki goldfield, New Zealand. Economic Geology. 114:243–273. doi: 10.5382/econgeo.2019.4630
   Web of Science ®Google Scholar
• Simpson MP, Mauk JL. 2007. The Favona epithermal gold-silver deposit, Waihi, New Zealand. Economic Geology. 102:817–839. doi: 10.2113/gsecongeo.102.5.817
   Web of Science ®Google Scholar
• Simpson MP, Mauk JL. 2011. Hydrothermal alteration and veins at the epithermal Au–Ag deposits and Prospects of the Waitekauri area, Hauraki goldfield, New Zealand. Economic Geology. 106:945–973. doi: 10.2113/econgeo.106.6.945
   Web of Science ®Google Scholar
• Skinner D. 1986. Neogene volcanism of the Hauraki volcanic region. Royal Society of New Zealand Bulletin. 23:20–47.
   Google Scholar
• Sporli K, Cargill H. 2011. Structural Evolution of a world-class epithermal orebody: The Martha Hill deposit, Waihi, New Zealand. Economic Geology. 106:975–998. doi: 10.2113/econgeo.106.6.975
   Web of Science ®Google Scholar
• Uvarova YA, Pearce MA, Liu W, Cleverley JS, Hough RM. 2017. Geochemical signatures of copper redistribution in IOCG-type mineralisation, Gawler Craton, south Australia. Mineralium Deposita. 53:477–492. doi: 10.1007/s00126-017-0749-1
   Web of Science ®Google Scholar
• van Dongen M, Weinberg RF, Tomkins AG. 2010. REE-Y, Ti, and P remobilization in magmatic rocks by hydrothermal alteration during Cu–Au deposit formation. Economic Geology. 105:763–776. doi: 10.2113/gsecongeo.105.4.763
   Web of Science ®Google Scholar
• Warren I, Simmons SF, Mauk JL. 2007. Whole-rock geochemical techniques for evaluating hydrothermal alteration, mass changes, and compositional gradients associated with epithermal Au–Ag mineralization. Economic Geology. 102:923–948. doi: 10.2113/gsecongeo.102.5.923
   Web of Science ®Google Scholar
• Weisberg B. 1969. Gold-silver ore grade precipitates from New Zealand geothermal waters. Economic Geology. 64:95–108. doi: 10.2113/gsecongeo.64.1.95
   Web of Science ®Google Scholar
• Woronow A, Love KM. 1990. Quantifying and testing differences among means of compositional data suites. Mathematical Geology. 22:837–852. doi: 10.1007/BF00890666
   Google Scholar