Probabilistic Tsunami Hazard Assessment (PTHA) often proceeds by constructing a suite of hypothetical earthquake scenarios, and modelling their tsunamis and occurrence-rates. Both tsunami and occurrence-rate models are affected by the representation of earthquake slip and rigidity, but the overall importance of these factors for far-field PTHA is unclear. We study the sensitivity of an Australia-wide PTHA to six different far-field earthquake scenario representations, including two rigidity models (constant and depth-varying) combined with three slip models: fixed-area-uniform-slip (with rupture area deterministically related to magnitude); variable-area-uniform-slip; and spatially heterogeneous-slip. Earthquake-tsunami scenarios are tested by comparison with DART-buoy tsunami observations, demonstrating biases in some slip models. Scenario occurrence-rates are modelled using Bayesian techniques to account for uncertainties in seismic coupling, maximum-magnitudes and Gutenberg-Richter b-values. The approach maintains reasonable consistency with the historical earthquake record and spatially variable plate convergence rates for all slip/rigidity model combinations, and facilitates partial correction of model-specific biases (identified via DART-buoy testing). The modelled magnitude exceedance-rates are tested by comparison with rates derived from long-term historical and paleoseismic data and alternative moment-conservation techniques, demonstrating the robustness of our approach. The tsunami hazard offshore of Australia is found to be insensitive to the choice of rigidity model, but significantly affected by the choice of slip model. The fixed-area-uniform-slip model produces lower hazard than the other slip models. Bias adjustment of the variable-area-uniform-slip model produces a strong preference for `compact' scenarios, which compensates for a lack of slip heterogeneity. Thus, both heterogeneous-slip and variable-area-uniform-slip models induce similar far-field tsunami hazard.

Indonesia is one of the most disaster prone countries in the world. For 10 years the Australian and Indonesian governments, science agencies and universities, have partnered to strengthen disaster management in Indonesia. Working together on science, technology and policy has greatly improved decision making around disaster management in Indonesia. By helping people prepare for, respond to, and recover from disasters, more lives can be saved, impacts on the most vulnerable members of society reduced, and infrastructure can be protected. Our partnership has concentrated on strengthening the evidence base for formed disaster management by improving: 1) hazard information for earthquake, tsunami, volcano and flood 2) spatial data for exposure (population, building, roads and infrastructure) 3) decision support tool (InaSAFE) to inform disaster response and management decisions. This document outlines the highlights of the Indonesian-Australian collaboration on the use of science and technology in disaster management.

<div>This is for submission to the 2022 ICCE Conference: https://icce2022.com/</div> This Abstract was submitted/presented to the 2022 International Conference on Coastal Engineering (ICCE) 04-09 December (https://icce2022.com/)

The service contains the Australian Coastal Geomorphology Landform Subtype Classifications, used to support a national coastal risk assessment. It describes the location and extent of landform subtypes identifiable at scales between 1:25,000 and 1:10,000. It also provides further detail to the Landform Type, with particular reference to feature stability (e.g. dune types) and mobility (e.g. channel types). It is cached service with a Web Mercator Projection.

The service contains the Australian Coastal Geomorphology Landform Type Classifications, used to support a national coastal risk assessment. It describes the location and extent of landform types identifiable at scales between 1:250,000 and 1:25,000. It describes the landform types present in either erosional or dispositional environments. It is cached service with a Web Mercator Projection.

The service contains the Australian Coastal Geomorphology Scale Guide, used to support a national coastal risk assessment. It includes the extents of various reclassified costal mapping products. It is cached service with a Web Mercator Projection.

The service contains the Australian Coastal Geomorphology Landform Type Classifications, used to support a national coastal risk assessment. It describes the location and extent of landform types identifiable at scales between 1:250,000 and 1:25,000. It describes the landform types present in either erosional or dispositional environments. It is cached service with a Web Mercator Projection.

The service contains the Australian Coastal Geomorphology Environments, used to support a national coastal risk assessment. It describes the location and extent primary geomorphological environments (both dispositional and erosional) present along the Australia coast and the processes acting on the features within. It is cached service with a Web Mercator Projection.

The Geological and Bioregional Assessments (GBA) Program is a series of independent scientific studies undertaken by Geoscience Australia and the CSIRO, supported by the Bureau of Meteorology, and managed by the Department of Agriculture, Water and the Environment. The Program consists of three stages across three regions with potential to deliver gas to the East Coast Gas Market. Stage 1 was a rapid regional prioritisation conducted by Geoscience Australia, to identify those sedimentary basins with the greatest potential to deliver shale and/or tight gas to the East Coast Gas Market within the next five to ten years. This prioritisation process assessed 27 onshore eastern and northern Australian basins with shale and/or tight gas potential. Further screening reduced this to a shortlist of nine basins where exploration was underway. The shortlisted basins were ranked on a number of criteria. The Cooper Basin, the Beetaloo Sub-basin and the Isa Superbasin were selected for more detailed assessment. Stage 2 of the program involved establishing a baseline understanding of the identified regions. Geoscience Australia produced regional geological evaluations and conceptualisations that inform the assessment of shale and/or tight gas prospectivity, ground- and surface-water impacts, and hydraulic fracturing models. Geoscience Australia’s relative prospectivity assessments provide an indication of where viable petroleum plays are most likely to be present. These data indicate areal and stratigraphic constraints that support the program’s further work in Stage 3, on understanding likely development scenarios, impact assessments, and causal pathways. <b>Citation:</b> Hall Lisa S., Orr Meredith L., Lech Megan E., Lewis Steven, Bailey Adam H. E., Owens Ryan, Bradshaw Barry E., Bernardel George (2021) Geological and Bioregional Assessments: assessing the prospectivity for tight, shale and deep-coal resources in the Cooper Basin, Beetaloo Subbasin and Isa Superbasin. <i>The APPEA Journal</i><b> 61</b>, 477-484. https://doi.org/10.1071/AJ20035

The service contains the Australian Coastal Geomorphology Landform Subtype Classifications, used to support a national coastal risk assessment. It describes the location and extent of landform subtypes identifiable at scales between 1:25,000 and 1:10,000. It also provides further detail to the Landform Type, with particular reference to feature stability (e.g. dune types) and mobility (e.g. channel types). It is cached service with a Web Mercator Projection.