@conference {bnh-1891,
	title = {The 2012 Moe Earthquake and Earthquake Attenuation in South Eastern Australia},
	booktitle = {Australian Earthquake Engineering Society Conference 2014},
	year = {2014},
	month = {11/2014},
	abstract = {<p>In 2012 the state of Victoria experienced its largest earthquake in thirty years. The epicentre of the ML 5.4 earthquake is located near the town of Moe, within an area of elevated seismicity called the south-eastern seismic zone. The main event as well as over 200 aftershocks were recorded and located in a coordinated study by the University of Melbourne (UoM), Geoscience Australia (GA) and the Seismology Research Centre. At the time of the largest aftershock (ML 4.4), five instruments were operating within a 20km radius from the epicentre {\textendash} providing a unique near-source strong motion record. This paper presents the spectral acceleration response results captured from the two events at a range of distances. Estimations of the VS30 parameter have been obtained for the underlying soil structure of some of the recordings stations using available borehole data, soil classification maps, observation of the natural period and using the Horizontal to Vertical Spectral Ratio (HVSR) method. The acceleration response spectra calculated from the ground motions are thus at sites with estimated site-soil properties and these spectra have been compared with estimated values from potentially applicable attenuation models, including the latest NGA-West 2 functions released in 2014. These comparisons indicate the level of compatibility of spectra obtained using the actual data with predictions made using the different attenuation models. The results show a wide range of accuracy with the current attenuation models that are thought to be applicable to the region. This is of particular importance in assisting to select the most suitable attenuation models for future Probabilistic Seismic Hazard Analyses in eastern Australia (Non-Cratonic) and other regions of Australia; the results from this type of hazard analysis are highly dependent on the attenuation model chosen to represent the area of interest.</p>},
	keywords = {Attenuation, Australia, GMPE, HVSR, Intraplate, Moe Earthquake, NGA-West 2, South Eastern},
	author = {Ryan D. Hoult and Anita Amirsardari and D. Sandiford and Elisa Lumantarna and Helen M. Goldsworthy and G. Gibson and Michael Asten}
}
@conference {bnh-1889,
	title = {Deaggregating the differences between seismic hazard assessments at a single site},
	booktitle = {Australian Earthquake Engineering Society Conference 2014},
	year = {2014},
	abstract = {<p>In the last few years there have been several probabilistic seismic hazard assessments (PSHA) of Adelaide. The resulting 500 year PGA obtained are 0.059, 0.067, 0.109 and 0.141. The differences between the first three are readily accounted for by choice of GMPE, how faults are included and differences in recurrence estimation, with each of these having a similar level of importance. As no GMPEs exist for the Mt Lofty and Flingers Ranges the choices of GMPEs were all based on geological analogies. The choice of at what weighting to include low attenuation, that is a stable continental crust, GMPE was most important. At a return period of 500 year the inclusion of faults was not necessarily significant. The choice of whether the faults behaved with Characteristic or Gutenberg-Richter recurrence statistics had the highest impact on the hazard with the choice of slip rate the next most important. A low slip rate Characteristic fault, while increasing the hazard for longer return periods (i.e. >=2500 years), results in only a minor increase at 500 years. The magnitude frequency distribution b-value for the four studies were 1.043, 0.88, 0.915 and 0.724. For the same activity in the magnitude range of 3.0 to 3.5, the activity level at M 6.0 is an order of magnitude higher for a b-value of 0.724 compared to a b-value of 1.043. This increase in activity rate of larger earthquakes significantly increases the hazard. The average of the first three studies is 0.078{\textpm}0.022 (0.056 {\textendash}0.100) g. This range is reflecting the intrinsic uncertainty in calculating PSHAs where many of the inputs are poorly constrained. The results for the highest hazard level PSHA study (i.e. 0.141g) can be explained by their use of a low b-value (i.e. 0.724).</p>},
	author = {M. Leonard and Ryan D. Hoult and Somerville, P and G. Gibson and D. Sandiford and Helen M. Goldsworthy and Elisa Lumantarna and S. Spiliopoulos}
}
