wind
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This GSQ Anakie Qld uranium grid geodetic is an airborne-derived radiometric uranium window countrate grid for the Anakie Qld, 1990 survey. The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of uranium (K), uranium (U) and uranium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This GSQ Anakie Qld uranium grid geodetic has a cell size of 0.00096 degrees (approximately 102m). The data are in units of counts per second (or cps). The data used to produce this grid was acquired in 1990 by the QLD Government, and consisted of 15068 line-kilometres of data at 400m line spacing and 60m terrain clearance.
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This GSWA Yowalga Sub Basin potassium grid geodetic is an airborne-derived radiometric potassium window countrate grid for the Yowalga Sub-Basin, WA, 1995-1996 survey. The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This GSWA Yowalga Sub Basin potassium grid geodetic radiometric potassium window countrate grid has a cell size of 0.001 degrees (approximately 105m). The data are in units of counts per second (cps). The data used to produce this grid was acquired in 1995 by the WA Government, and consisted of 87401 line-kilometres of data at 500m line spacing and 80m terrain clearance.
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The Garnaut Climate Change Review examined the impacts of, and possible policy responses to, climate change on on the Australian economy. Geoscience Australia's (GA) contribution considered the economic impacts of tropical cyclones on Queensland, the Northern Territory and Western Australia (severe wind and storm surge impacts only) for eight climate change greenhouse gas emission scenarios based on model projections of large-scale environmental factors from the Intergovernmental Panel for Climate Change (IPCC) Fourth Assessment Report simulations (considered 20 year time slices centred on; 2010, 2030, 2050, 2070, and 2090). Three 21st century population projections from the Australian Bureau of Statistics (Series A, B, & C) were also employed. The population projections were used to scale-up number of structures at each mid-point for GA's National Exposure Information System (NEXIS). We assumed all structures built post- year 2000 were constructed to the current building standards. The current spatial distribution of buildings is maintained, implying no expansion of built up areas through to 2100. The study focused on the evaluation of the wind hazard utilising the maximum potential intensity (MPI). Storm surge impacts in the same States were developed using a simple parameterisation relating changes in TC intensity to changes in storm surge height and adopting the IPCC global mid-point sea-level rise predictions. For each time-slice and for each region, we produced the spatial return-period 'ropical cyclone wind gust speed' ranging from return-periods of 50 years to 5000 years. Direct losses (infrastructure and contents damage) were calculated for each return-period event. State annualised loss estimates of direct loss are aggregated from estimates at the SLA (statistical local area) level in each state. The main aim of the Garnaut Review is discussed; the comparison of the results from the "business as usual" scenario (A1FI) with those from a range of st
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Wind risk assessment forms part of Geoscience Australia's assessments of the potential losses to Australian communities from a range of sudden impact natural hazards. These assessments aim to define the economic and social threat posed by a range of rapid onset hazards through a combined study of natural hazard research methods and risk assessment models. This presentation provides an overview of the progress towards a national scale peak wind gust risk assessment for Australia. At present, these assessments cover residential development in both urban and adjacent rural regions of all Australian capital cities and some large rural centres. The assessment will be refined for both an improved understanding of Australian peak wind gusts and also for climate change influences on peak wind gusts. The methodology employed to evaluate the risk associated with peak wind gusts in Australian cities is discussed, including a concerted attempt to better define regional hazard variability by utilising the results of a 1951-2000 period regional climate model downscaling exercise forced by NCEP reanalyses. The estimation of the regional return period wind speeds (or return levels) was derived by utilising a statistical model (extreme value distributions) to determine the regional-scale hazard. For an engineering application, the local wind effects on return period regional wind speeds were determined by assessing by combining the regional hazard with the local effect of terrain at the structure height of interest, the shielding effect of up-wind buildings and the effect of topography. Limitations with the present methodology are also examined. In particular, these results are thought to be useful as a guide to relative risk in the Australian region; however the absolute values are likely to be a gross overestimate. The utilisation of an 'event-based' hazard dataset is discussed and illustrated by using case studies
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This GSWA Pingaring potassium grid geodetic is an airborne-derived radiometric thorium window countrate grid for the Pingaring, WA,1993 survey. The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of thorium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This GSWA Pingaring potassium grid geodetic has a cell size of 0.00083 degrees (approximately 85m). The data are in units of counts per second (or cps). The data used to produce this grid was acquired in 1993 by the WA Government, and consisted of 7622 line-kilometres of data at 400m line spacing and 60m terrain clearance.
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This GSQ Walsh Red River uranium grid geodetic is an airborne-derived radiometric uranium window countrate grid for the Walsh, Red River, Qld, 1992/93 survey. The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of uranium (K), uranium (U) and uranium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This GSQ Walsh Red River uranium grid geodetic has a cell size of 0.00083 degrees (approximately 90m). The data are in units of counts per second (or cps). The data used to produce this grid was acquired in 1992 by the QLD Government, and consisted of 54145 line-kilometres of data at 400m line spacing and 100m terrain clearance.
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This GSNSW Exploration NSW Area J Cobar Nymagee Part2 total count grid geodetic is an airborne-derived radiometric total count window countrate grid for the Cobar-Nymagee Part 2, NSW, 1999 survey. The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of total count (K), total count (U) and total count (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This GSNSW Exploration NSW Area J Cobar Nymagee Part2 total count grid geodetic has a cell size of 0.00049 degrees (approximately 50m). The data are in units of counts per second (cps). The data used to produce this grid was acquired in 1999 by the NSW Government, and consisted of 31212 line-kilometres of data at 250m line spacing and 60m terrain clearance.
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This GSSA Warrina Uranium Grid Geodetic is an airborne-derived radiometric uranium window countrate grid for the Warrina Airborne Magnetic Radiometric and DEM Survey, SA, 2017 survey. The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of uranium (K), uranium (U) and uranium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This GSSA Warrina Uranium Grid Geodetic has a cell size of 0.00042 degrees (approximately 44m). The data are in units of counts per second (or cps). The data used to produce this grid was acquired in 2017 by the SA Government, and consisted of 135932 line-kilometres of data at 200m line spacing and 60m terrain clearance.
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This GSNSW Exploration NSW Area D Surat Basin total count grid geodetic is an airborne-derived radiometric total count window countrate grid for the NSW DMR, Discovery 2000,1994-95, Area D, Surat Basin survey. The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of total count (K), total count (U) and total count (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This GSNSW Exploration NSW Area D Surat Basin total count grid geodetic has a cell size of 0.00072 degrees (approximately 75m). The data are in units of counts per second (cps). The data used to produce this grid was acquired in 1995 by the NSW Government, and consisted of 117000 line-kilometres of data at 400m line spacing and 80m terrain clearance.
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This GSWA Trayning potassium grid geodetic is an airborne-derived radiometric potassium window countrate grid for the Trayning, WA, 1997 survey. The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This GSWA Trayning potassium grid geodetic radiometric potassium window countrate grid has a cell size of 0.00035 degrees (approximately 36m). The data are in units of counts per second (cps). The data used to produce this grid was acquired in 1997 by the WA Government, and consisted of 12657 line-kilometres of data at 150m line spacing and 50m terrain clearance.