Lithological and spatial controls on the distribution of quartz veins in andesite- and rhyolite-hosted epithermal Au-Ag deposits of the Hauraki Goldfield, New Zealand
Vein distributions in line samples from four epithermal Au-Ag deposits of the Hauraki Goldfield were logged and quantified by vein spacing, vein density, vein thickness and percentage of vein extension. One deposit is hosted in andesite lavas (Martha Hill), one in andesite lavas and dacite porphyry,...
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description | Vein distributions in line samples from four epithermal Au-Ag deposits of the Hauraki Goldfield were logged and quantified by vein spacing, vein density, vein thickness and percentage of vein extension. One deposit is hosted in andesite lavas (Martha Hill), one in andesite lavas and dacite porphyry, dacitic tuffs and pyroclastic breccias (Golden Cross), and two in rhyolite lavas and rhyolitic tuffs with minor andesite lavas or andesite dikes (Ohui and Wharekirauponga). The vein systems in these deposits form fault-controlled arrays of extensional veins. Vein spacing distributions are non-fractal over two to three orders of magnitude (1mm to 5m), and therefore fractal dimension statistics are not applicable. The coefficient of variation (C^sub v^) of vein spacing was used as a measure of the degree of vein clustering. Rock type has a marked influence on vein spacing distributions, with veining in rhyolite lava having lower average thickness and percentage extension, but a generally higher degree of vein clustering compared with veining in andesite lava in the same deposit. Vein spacing distributions in well-jointed lithologies, mainly andesite lava, have C^sub v^ values (0.8-1.2) that are indicative of anticlustered to weakly clustered patterns, particularly in the vein stockwork of the upper part of the Golden Cross deposit. These C^sub v^ values are consistent with field observations that joints are a major control on vein spacing. In the poorly jointed dacitic and rhyolitic rocks, the veins are weakly to strongly clustered as shown by higher C^sub v^ values (1.2-2.4), and are commonly associated with normal faults. Overall, andesite lava and dacite porphyry and pyroclastics host thicker and more persistent veins than rhyolite lava and tuff. These larger veins contain significant volumes of high-grade gold mineralisation. The higher chemical reactivity to hydrothermal fluids of andesite and dacite compared with rhyolite may have aided propagation and thickening of the veins in andesite-hosted deposits. Within an individual epithermal deposit, location close to thick veins, representing major fluid conduits, commonly overrides the effect of different lithologies. Sites that are deeper and located within or adjacent to major vein structures have higher average vein thickness, percentage extension and degree of vein clustering. Systematic collection and analysis of vein spacing, thickness and density data can be used to define trends that are useful in the e |
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One deposit is hosted in andesite lavas (Martha Hill), one in andesite lavas and dacite porphyry, dacitic tuffs and pyroclastic breccias (Golden Cross), and two in rhyolite lavas and rhyolitic tuffs with minor andesite lavas or andesite dikes (Ohui and Wharekirauponga). The vein systems in these deposits form fault-controlled arrays of extensional veins. Vein spacing distributions are non-fractal over two to three orders of magnitude (1mm to 5m), and therefore fractal dimension statistics are not applicable. The coefficient of variation (C^sub v^) of vein spacing was used as a measure of the degree of vein clustering. Rock type has a marked influence on vein spacing distributions, with veining in rhyolite lava having lower average thickness and percentage extension, but a generally higher degree of vein clustering compared with veining in andesite lava in the same deposit. Vein spacing distributions in well-jointed lithologies, mainly andesite lava, have C^sub v^ values (0.8-1.2) that are indicative of anticlustered to weakly clustered patterns, particularly in the vein stockwork of the upper part of the Golden Cross deposit. These C^sub v^ values are consistent with field observations that joints are a major control on vein spacing. In the poorly jointed dacitic and rhyolitic rocks, the veins are weakly to strongly clustered as shown by higher C^sub v^ values (1.2-2.4), and are commonly associated with normal faults. Overall, andesite lava and dacite porphyry and pyroclastics host thicker and more persistent veins than rhyolite lava and tuff. These larger veins contain significant volumes of high-grade gold mineralisation. The higher chemical reactivity to hydrothermal fluids of andesite and dacite compared with rhyolite may have aided propagation and thickening of the veins in andesite-hosted deposits. Within an individual epithermal deposit, location close to thick veins, representing major fluid conduits, commonly overrides the effect of different lithologies. Sites that are deeper and located within or adjacent to major vein structures have higher average vein thickness, percentage extension and degree of vein clustering. Systematic collection and analysis of vein spacing, thickness and density data can be used to define trends that are useful in the exploration of gold-bearing epithermal vein deposits.[PUBLICATION ABSTRACT]</description><identifier>ISSN: 0026-4598</identifier><identifier>EISSN: 1432-1866</identifier><identifier>DOI: 10.1007/s001260050282</identifier><language>eng</language><publisher>Heidelberg: Springer Nature B.V</publisher><subject>Chemical reactions ; Coefficient of variation ; Dikes ; Gold ; Lava ; Mineralization ; Mineralogy ; Petrology ; Quartz ; Rocks ; Veins (geology)</subject><ispartof>Mineralium deposita, 2001-01, Vol.36 (1), p.1-12</ispartof><rights>Springer-Verlag Berlin Heidelberg 2001</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a217t-5f1c7ede6f684c0f927ee010bdf2e6518687740bf53b22eee657cdf99a174ca73</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Brathwaite, Robert L.</creatorcontrib><creatorcontrib>Cargill, Hugh J.</creatorcontrib><creatorcontrib>Christie, Anthony B.</creatorcontrib><creatorcontrib>Swain, Andrew</creatorcontrib><title>Lithological and spatial controls on the distribution of quartz veins in andesite- and rhyolite-hosted epithermal Au-Ag deposits of the Hauraki Goldfield, New Zealand</title><title>Mineralium deposita</title><description>Vein distributions in line samples from four epithermal Au-Ag deposits of the Hauraki Goldfield were logged and quantified by vein spacing, vein density, vein thickness and percentage of vein extension. One deposit is hosted in andesite lavas (Martha Hill), one in andesite lavas and dacite porphyry, dacitic tuffs and pyroclastic breccias (Golden Cross), and two in rhyolite lavas and rhyolitic tuffs with minor andesite lavas or andesite dikes (Ohui and Wharekirauponga). The vein systems in these deposits form fault-controlled arrays of extensional veins. Vein spacing distributions are non-fractal over two to three orders of magnitude (1mm to 5m), and therefore fractal dimension statistics are not applicable. The coefficient of variation (C^sub v^) of vein spacing was used as a measure of the degree of vein clustering. Rock type has a marked influence on vein spacing distributions, with veining in rhyolite lava having lower average thickness and percentage extension, but a generally higher degree of vein clustering compared with veining in andesite lava in the same deposit. Vein spacing distributions in well-jointed lithologies, mainly andesite lava, have C^sub v^ values (0.8-1.2) that are indicative of anticlustered to weakly clustered patterns, particularly in the vein stockwork of the upper part of the Golden Cross deposit. These C^sub v^ values are consistent with field observations that joints are a major control on vein spacing. In the poorly jointed dacitic and rhyolitic rocks, the veins are weakly to strongly clustered as shown by higher C^sub v^ values (1.2-2.4), and are commonly associated with normal faults. Overall, andesite lava and dacite porphyry and pyroclastics host thicker and more persistent veins than rhyolite lava and tuff. These larger veins contain significant volumes of high-grade gold mineralisation. The higher chemical reactivity to hydrothermal fluids of andesite and dacite compared with rhyolite may have aided propagation and thickening of the veins in andesite-hosted deposits. Within an individual epithermal deposit, location close to thick veins, representing major fluid conduits, commonly overrides the effect of different lithologies. Sites that are deeper and located within or adjacent to major vein structures have higher average vein thickness, percentage extension and degree of vein clustering. Systematic collection and analysis of vein spacing, thickness and density data can be used to define trends that are useful in the exploration of gold-bearing epithermal vein deposits.[PUBLICATION ABSTRACT]</description><subject>Chemical reactions</subject><subject>Coefficient of variation</subject><subject>Dikes</subject><subject>Gold</subject><subject>Lava</subject><subject>Mineralization</subject><subject>Mineralogy</subject><subject>Petrology</subject><subject>Quartz</subject><subject>Rocks</subject><subject>Veins (geology)</subject><issn>0026-4598</issn><issn>1432-1866</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpVkTFPwzAQhS0EEqUwslvMBM5uEidjVUGLVMECC0vkxufWJY1T2wGVH8TvxAEWprt7eveddI-QSwY3DEDcegDGc4AMeMGPyIilE56wIs-PyQiA50malcUpOfN-CwAlS2FEvpYmbGxj16aWDZWtor6TwcS-tm1wtvHUtjRskCrjgzOrPpgoWE33vXThk76jaT017bCL3gRMfihuc7DNMG2sD6godvEOul0ET_tkuqYKOxvtfkAN-IXsnXwzdG4bpQ026po-4gd9RdlE3jk50bLxePFXx-Tl_u55tkiWT_OH2XSZSM5ESDLNaoEKc50XaQ265AIRGKyU5phn8ReFECmsdDZZcY4YNVErXZaSibSWYjImV7_cztl9jz5UW9u7Np6siiLNOU_ZYEp-TbWz3jvUVefMTrpDxaAakqj-JTH5BmRBfmA</recordid><startdate>20010101</startdate><enddate>20010101</enddate><creator>Brathwaite, Robert L.</creator><creator>Cargill, Hugh J.</creator><creator>Christie, Anthony B.</creator><creator>Swain, Andrew</creator><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20010101</creationdate><title>Lithological and spatial controls on the distribution of quartz veins in andesite- and rhyolite-hosted epithermal Au-Ag deposits of the Hauraki Goldfield, New Zealand</title><author>Brathwaite, Robert L. ; Cargill, Hugh J. ; Christie, Anthony B. ; Swain, Andrew</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a217t-5f1c7ede6f684c0f927ee010bdf2e6518687740bf53b22eee657cdf99a174ca73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Chemical reactions</topic><topic>Coefficient of variation</topic><topic>Dikes</topic><topic>Gold</topic><topic>Lava</topic><topic>Mineralization</topic><topic>Mineralogy</topic><topic>Petrology</topic><topic>Quartz</topic><topic>Rocks</topic><topic>Veins (geology)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brathwaite, Robert L.</creatorcontrib><creatorcontrib>Cargill, Hugh J.</creatorcontrib><creatorcontrib>Christie, Anthony B.</creatorcontrib><creatorcontrib>Swain, Andrew</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Mineralium deposita</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brathwaite, Robert L.</au><au>Cargill, Hugh J.</au><au>Christie, Anthony B.</au><au>Swain, Andrew</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lithological and spatial controls on the distribution of quartz veins in andesite- and rhyolite-hosted epithermal Au-Ag deposits of the Hauraki Goldfield, New Zealand</atitle><jtitle>Mineralium deposita</jtitle><date>2001-01-01</date><risdate>2001</risdate><volume>36</volume><issue>1</issue><spage>1</spage><epage>12</epage><pages>1-12</pages><issn>0026-4598</issn><eissn>1432-1866</eissn><abstract>Vein distributions in line samples from four epithermal Au-Ag deposits of the Hauraki Goldfield were logged and quantified by vein spacing, vein density, vein thickness and percentage of vein extension. One deposit is hosted in andesite lavas (Martha Hill), one in andesite lavas and dacite porphyry, dacitic tuffs and pyroclastic breccias (Golden Cross), and two in rhyolite lavas and rhyolitic tuffs with minor andesite lavas or andesite dikes (Ohui and Wharekirauponga). The vein systems in these deposits form fault-controlled arrays of extensional veins. Vein spacing distributions are non-fractal over two to three orders of magnitude (1mm to 5m), and therefore fractal dimension statistics are not applicable. The coefficient of variation (C^sub v^) of vein spacing was used as a measure of the degree of vein clustering. Rock type has a marked influence on vein spacing distributions, with veining in rhyolite lava having lower average thickness and percentage extension, but a generally higher degree of vein clustering compared with veining in andesite lava in the same deposit. Vein spacing distributions in well-jointed lithologies, mainly andesite lava, have C^sub v^ values (0.8-1.2) that are indicative of anticlustered to weakly clustered patterns, particularly in the vein stockwork of the upper part of the Golden Cross deposit. These C^sub v^ values are consistent with field observations that joints are a major control on vein spacing. In the poorly jointed dacitic and rhyolitic rocks, the veins are weakly to strongly clustered as shown by higher C^sub v^ values (1.2-2.4), and are commonly associated with normal faults. Overall, andesite lava and dacite porphyry and pyroclastics host thicker and more persistent veins than rhyolite lava and tuff. These larger veins contain significant volumes of high-grade gold mineralisation. The higher chemical reactivity to hydrothermal fluids of andesite and dacite compared with rhyolite may have aided propagation and thickening of the veins in andesite-hosted deposits. Within an individual epithermal deposit, location close to thick veins, representing major fluid conduits, commonly overrides the effect of different lithologies. Sites that are deeper and located within or adjacent to major vein structures have higher average vein thickness, percentage extension and degree of vein clustering. Systematic collection and analysis of vein spacing, thickness and density data can be used to define trends that are useful in the exploration of gold-bearing epithermal vein deposits.[PUBLICATION ABSTRACT]</abstract><cop>Heidelberg</cop><pub>Springer Nature B.V</pub><doi>10.1007/s001260050282</doi><tpages>12</tpages></addata></record> |
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subjects | Chemical reactions Coefficient of variation Dikes Gold Lava Mineralization Mineralogy Petrology Quartz Rocks Veins (geology) |
title | Lithological and spatial controls on the distribution of quartz veins in andesite- and rhyolite-hosted epithermal Au-Ag deposits of the Hauraki Goldfield, New Zealand |
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