This dataset consists of geological faults for the Top Latrobe Group interpreted from industry seismic data compiled by the Department of Environment and Primary Industries (DEPI). The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.

This dataset consists of geological faults interpreted from seismic data provided by the Department of Environment and Primary Industries (DEPI). The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.

This dataset consists of both onshore and offshore geological faults interpreted from seismic data provided by the Department of Environment and Primary Industries (DEPI). The Strzelecki Group is part of the Mesozoic and Palaeozoic Bedrock (BSE) as outlined in the Victorian Aquifer Framework (VAF). The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.

This dataset contains the Gippsland Basin and Otway Basin edges. The dataset is accompanied by other datasets representing geological boundaries, major faults, lesser faults, dykes and lava flows. References: MOORE, D.H., 2002. Eastern and central Gippsland Basin, southeast Australia: basement interpretation and basin links. Victorian Initiative for Minerals and Petroleum Report 69, Department of Natural Resources and Environment. MOORE, D.H., 2002. Basement-basin relationships in the Otway Basin, Victoria, Australia. Victorian Initiative for Minerals and Petroleum Report 78, Department of Natural Resources and Environment. SIMONS B.A., & MOORE, D.H., 1999. Victoria 1:1 000 000 Pre-Permian Geology. Geological Survey of Victoria.

This dataset comprises lineaments interpreted from the State's 100m x 100m resolution Digital Terrain Model (DTM). The interpretation has been completed on a regional or sub-regional scale using geophysical remote sensing techniques and has confirmed that topography is a key structural analysis dataset. This is because it frequently shows strong evidence of the recent reactivation of older fault structures. The analysis identified a number of key topography lineament directions across the state: ENE-WSW: the dominant set of long and persistent linear features; WNW-ESE: the next most obvious interpreted topographic lineament dataset; N-S to NNE-SSW: trends mostly associated with known terrane boundaries. Generally, only lineaments which have not been published in existing datasets developed by the former Department of Primary Industries (DPI) have been identified in this study. The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.

This dataset depicts the location of the Danyo, Hindmarsh, Tyrell, Avoca and Leaghur faults in the north-western Murray Basin in Victoria. The faults have been digitised from Macumber (1991) and Robson and Webb (2011). These north-south oriented faults appear to truncate or interrupt a number of cross-cutting structures in the Murray Basin. The Hindmarsh, Tyrell, Avoca and Leaghur faults all influence modern day stream flows which may be indicative of an earlier impact on the aquifer if movement has occurred regularly over the Tertiary period. The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.

These data present a ground-water inventory of existing geospatial data and other information needed to determine the extent and characteristics of the aquifers in the Tahoe Basin. Geospatial and other data include geologic maps and soil surveys of the entire basin and for specific watersheds within the basin at the best available scales; vegetation remote-sensing datasets; well information from various local, state, and federal agencies; geophysical surveys; and results of available ground-water studies. The compilation and development of a ground-water inventory geospatial database will assist the United States Forest Service in better assessing the present and future impacts on ground-water resources within the Lake Tahoe Basin.

Slip and dilation tendency on the Great Basin fault surfaces (from the USGS Quaternary Fault Database) were calculated using 3DStress (software produced by Southwest Research Institute). Slip and dilation tendency are both unitless ratios of the resolved stresses applied to the fault plane by the measured ambient stress field. - Values range from a maximum of 1 (a fault plane ideally oriented to slip or dilate under ambient stress conditions) to zero (a fault plane with no potential to slip or dilate). - Slip and dilation tendency values were calculated for each fault in the Great Basin. As dip is unknown for many faults in the USGS Quaternary Fault Database, we made these calculations using the dip for each fault that would yield the maximum slip or dilation tendency. As such, these results should be viewed as maximum slip and dilation tendency. - The resulting along-fault and fault-to-fault variation in slip or dilation potential is a proxy for along-fault and fault-to-fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson-Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin