<p> The Au, Pt, Pd and Ir content of Fred's flow (a layered komatiite flow), Theo's flow (a layered tholeiite flow) and two peridotitic komatiite flows at Pyke Hill, all from Munro Township, were determined using radiochemical neutron activation analysis. In addition, the potential of Pyke Hill peridotitic komatiites as a gold source was evaluated. X-ray fluorescence spectroscopy, atomic absorption spectroscopy and a Leco automatic carbon determinator were used to determine major and trace element content in a total of 43 samples. </p> See Chart in text. <p> The peridotitic komatiite magma at Pyke Hill has the most mantle like proportions of Pt and Pd. None of the flows studied have been saturated with respect to sulphur. No leaching of siderophile and chalcophile elements has taken place prior to extrusion and cooling.</p> <p> The low gold content of the unaltered Pyke Hill peridotitic komatiites (average 2.8 ppb) do not make them obvious source rocks for gold deposits. </p> / Thesis / Master of Science (MSc)

No description available.

No description available.

No description available.

Granitic intrusives and a zoned gabbroic dyke situated within the Back River Volcanic Complex were mapped and studied. Petrography and geochemical analyses were performed on selected specimens. Chemican variation diagrams suggest that the granites may have been derived from the fractional crystallization of a single parent magma. In order of decreasing age, these granitic units are defined as follows: 1. Hornblende Quartz Syenite 2. Granite 3. Quartz Monzodiorite A zoned gabbro/quartz gabbro dyke cuts the granites. Pyroxene and plagioclase are the dominant minerals of this dyke, and are found to vary antipathetically throughout the central portions of the dyke. Chemical studies of this system suggest that the zoning may be the result of a series of multiple injections from different source magmas. / Thesis / Bachelor of Science (BSc)

This thesis presents a new GIS-based scenario volcanic risk assessment model called RiskScape Volcano (RSV) that has been designed for the RiskScape program to advance the field of volcanic risk assessment. RiskScape is a natural hazards risk assessment software tool being developed in New Zealand by GNS Science and NIWA. When integrated into RiskScape, RSV will add proximal volcanic hazard risk assessment capability, and enhanced inventory design; it presently operates outside of RiskScape by combining volcanic hazard models’ output spatial hazard intensity (hazard maps) with inventory databases (asset maps) in GIS software to determine hazard exposure, which is then combined with fragility functions (relationships between hazard intensity and expected damage ratios) to estimate risk. This thesis consists of seven publications, each of which comprises a part of the development and testing of RSV: 1) results of field investigation of impacts to agriculture and infrastructure of the 2006 eruption of Merapi Volcano, Indonesia; 2) agricultural fragility functions for tephra damage in New Zealand based on the observations made at Merapi; 3) examination of wind patterns above the central North Island, New Zealand for better modeling of tephra dispersal with the ASHFALL model; 4) a description of the design, components, background, and an example application of the RSV model; 5) test of RSV via a risk assessment of population, agriculture, and infrastructure in the Rotorua District from a rhyolite eruption at the Okataina Volcanic Centre; 6) test of RSV via a comparison of risk to critical infrastructure in Mammoth Lakes, California from an eruption at Mammoth Mountain volcano versus an eruption from the Inyo craters; and 7) a survey of volcanic hazard awareness in the tourism sector in Mammoth Lakes. Tests of the model have demonstrated that it is capable of providing valid and useful risk assessments that can be used by local government and emergency management to prioritise eruption response planning and risk mitigation efforts. RSV has provided the RiskScape design team with a more complete quantitative volcanic risk assessment model that can be integrated into RiskScape and used in New Zealand and potentially overseas.

The Pozzolane Rosse ignimbrite [PR] (457±4 ka) in the Alban Hills Volcanic District, Rome, Italy was exposed ~ 40 ka prior to a subsequent volcanic event which coverd it entirely. XRF, XRD, and clay separation results from PR samples from INGV and CA1 boreholes and Castel di Leva quarry show evidence of paleopedogenesis. All locations display loss of base cations, loss of K is consistent with XRD datat showing dissolution or alteration of leucite to analcime. Accumulation of Al and high L.O.I. support XRD evidence of 1:1 clay species at upper depth. Data suggest alteration extent can be determined by geochemistry. Hydrothermal alteration is assessed from geochemistry showing significant leaching of major and trace elements, primary mineralogy loss and iron sulfide and sulfate mineral development. Deep samples of PR may show groundwater influenced alteration with the presence of expandable 2:1 clays, zeolites, and possible mixing with the underlying Vallerano Lava.

The Nsuze Group forms the lower, predominantly volcanic succession of the Pongola Supergroup. The 2.9Ga Nsuze Group outcrops in southeastern Mpumalanga, northern KwaZulu-Natal and Swaziland. The volcanic rocks of the Nsuze Group are basalts, basaltic andesites, andesites, dacites and rhyolites preserved as both lava and pyroclastic deposits. The oldest volcanic sequence of the Nsuze Group is the basaltic Wagondrift Formation. The younger Bivane Subgroup represents the main volcanic component of the Nsuze Group. The White River Section represents a complex volcanic history of magma storage, fractionation, and eruption, supplied by a multi-level system of magma chambers. The basaltic and basaltic andesite rocks of the White Mfolozi Inlier represent the steady and non-violent eruption of lavas from related volcanic centres. The Nsuze Group rocks have been metamorphosed by high heat flow burial metamorphism to lower greenschist facies. Geochemically, elements display well-defined fractionation trends, with evident sub-trends within each phase group of samples. These sub-trends are related to the fractionation of key minerals, in particular plagioclase. The REE patterns show that evolution of magma was largely controlled by the fractionation of plagioclase. All REE patterns show LREE enrichment relative to the HREE. The Wagondrift Formation was derived from a more depleted source than the younger Bivane Subgroup volcanic rocks and exhibits a within-plate tectonic signature. The volcanic rocks of the Bivane Subgroup in the White River Section and the White Mfolozi Inlier are geochemically similar. The volcanic rocks of the Bivane Subgroup of both the White River Section and the White Mfolozi Inlier have a subduction zone tectonic signature, in particular a Ta-Nb negative anomaly. Tectonic discrimination diagrams suggest an enriched source related to a continental-arc setting. The geochemistry suggests an eclogitic source for the Nsuze Group volcanic rocks. The formation of eclogite in the mantle requires subduction of basaltic material. Archaean models for subduction-like processes include decoupling of oceanic crust and subsequent underplating of the continental lithosphere, and low-angle subduction which minimises the effect of the mantle wedge. It is possible that a combination of these processes resulted in an enriched eclogitic source for the magmas of the Nsuze Group. / Thesis (M.Sc.)-University of Natal, Durban, 2003.

Modelling of volcanic ashfall has been attempted by volcanologists but very little work has been done by mathematicians. In this thesis we show that mathematical models can accurately describe the distribution of particulate materials that fall to the ground following an eruption. We also report on the development and analysis of mathematical models to calculate the ash concentration in the atmosphere during ashfall after eruptions. Some of these models have analytical solutions. The mathematical models reported on in this thesis not only describe the distribution of ashfall on the ground but are also able to take into account the effect of variation of wind direction with elevation. In order to model the complexity of the atmospheric flow, the atmosphere is divided into horizontal layers. Each layer moves steadily and parallel to the ground: the wind velocity components, particle settling speed and dispersion coefficients are assumed constant within each layer but may differ from layer to layer. This allows for elevation-dependent wind and turbulence profiles, as well as changing particle settling speeds, the last allowing the effects of the agglomeration of particles to be taken into account.

This thesis presents a new GIS-based scenario volcanic risk assessment model called RiskScape Volcano (RSV) that has been designed for the RiskScape program to advance the field of volcanic risk assessment. RiskScape is a natural hazards risk assessment software tool being developed in New Zealand by GNS Science and NIWA. When integrated into RiskScape, RSV will add proximal volcanic hazard risk assessment capability, and enhanced inventory design; it presently operates outside of RiskScape by combining volcanic hazard models’ output spatial hazard intensity (hazard maps) with inventory databases (asset maps) in GIS software to determine hazard exposure, which is then combined with fragility functions (relationships between hazard intensity and expected damage ratios) to estimate risk. This thesis consists of seven publications, each of which comprises a part of the development and testing of RSV: 1) results of field investigation of impacts to agriculture and infrastructure of the 2006 eruption of Merapi Volcano, Indonesia; 2) agricultural fragility functions for tephra damage in New Zealand based on the observations made at Merapi; 3) examination of wind patterns above the central North Island, New Zealand for better modeling of tephra dispersal with the ASHFALL model; 4) a description of the design, components, background, and an example application of the RSV model; 5) test of RSV via a risk assessment of population, agriculture, and infrastructure in the Rotorua District from a rhyolite eruption at the Okataina Volcanic Centre; 6) test of RSV via a comparison of risk to critical infrastructure in Mammoth Lakes, California from an eruption at Mammoth Mountain volcano versus an eruption from the Inyo craters; and 7) a survey of volcanic hazard awareness in the tourism sector in Mammoth Lakes. Tests of the model have demonstrated that it is capable of providing valid and useful risk assessments that can be used by local government and emergency management to prioritise eruption response planning and risk mitigation efforts. RSV has provided the RiskScape design team with a more complete quantitative volcanic risk assessment model that can be integrated into RiskScape and used in New Zealand and potentially overseas.