L. Gathier et al Geochemical characterization of the Golden Mile stratigraphy and implications for the structural architecture

Published estimates for heavy metal emissions from the copper-nickel industry on the Kola Peninsula are re-examined in the light of: a) Official emission figures for 1994, b) Modelled emissions based on dry and wet deposition estimates based on data from snow and rain samples collected in 1994 and c) Chemical data on the composition of the ores. The modelled emissions, official emission figures and chemical data are mutually compatible for Ni, Cu and Co and show that previously published figures underestimated the emissions of the major elements, Ni and Cu (though within the same order of magnitude) and overestimated the emissions of As, Pb, Sb and Zn by up to several orders of magnitude, in some cases exceeding the calculated total input to the plants. Published estimates have neglected information on the nature and chemistry of the ores processed in metallurgical industries in the Noril-sk area of Siberia and the Urals. Revised emission estimates for 1994, using knowledge of the chemistry of the ores, are proposed: taken with published information on total emissions up to 2000 these data give an indication of emission levels in more recent years.

Fluid pathways and drivers

This presentation was delivered at the 30th NZ Geothermal Workshop in Taupo, New Zealand (10 - 13th November 2008). It summarises the key initiatives the Australian Government and State Governments have in place to support the growth of Australia's young geothermal industry.

Brecciation in the Eastern Succession

The Process and Outcomes of Integrating CRC Work into Industry

This map shows the area of the Eastern South Australia Trawl Closure within the Commonwealth Trawl Sector (also known as the South East Trawl Fishery (SETF)) of the Southern and Eastern Scalefish and Shark Fishery. Developed as per the Southern and Eastern Scalefish and Shark Fishery (Closures) Direction 2008 - Schedule 22. Produced for the Australian Fisheries Management Authority. Not for public sale or distribution by GA.

Factsheet: Case studies Tarcoola

We measured the light absorption properties of two naturally occurring Australian hydrocarbon oils, a Gippsland light crude oil and a North West Shelf light condensate. Using these results in conjunction with estimated sensor environmental noise thresholds, the theoretical minimum limit of detectability of each oil type (as a function of oil thickness) was calculated for both the hyperspectral HYMAP and multispectral Quickbird sensors. The Gippsland crude oil is discernable at layer thickness of 20 micro metres or more in the Quickbird green channel. The HYMAP sensor was found to be theoretically capable of detecting a layer of Gippsland crude oil with a thickness of 10 micro metres in approximately six sensor channels. By contrast, the North West Shelf light condensate was not able to be detected by either sensor for any thickness up to 200 icro metres. Optical remote sensing is therefore not applicable for detecting diagnostic absorption features associated with this light condensate oil type, which is considered representative for the prospective Australian Northwest Shelf area. We conclude that oil type is critical to the applicability of optical remote sensing for natural oil slick detection and identification. We recommend that a sensor- and oil-specific sensitivity study should be conducted prior to applying optical remote sensors for oil exploration. The oil optical properties were obtained using two different laboratory methods, a reflectance-based approach and transmittance-based approach. The reflectance-based approach was relatively complex to implement, but was chosen in order to replicate as closely as possible real world remote sensing measurement conditions of an oil film on water. The transmittance-based approach, based upon standard laboratory spectrophotometric measurements was found to generate results in good agreement with the reflectance-based approach. Therefore, for future oil- and sensor-specific sensitivity studies, we recommend the relatively accessible transmittance-based approach, which is detailed in this paper.

DIGITAL NUMBER TO RADIANCE CALIBRATION CONSTANTS FOR ACRES LANDSAT MULTISPECTRAL SCANNER DATA