This document describes a structure for exchanging information to assist discovery and retrieval/transfer of flood information, including GIS flood mapping data. The draft class model represents metadata, data and summary information that supports the goals of the National Flood Risk Information Project (NFRIP) to improve the quality, consistency and accessibility of flood information. This document describes the data model that will be used to create an application schema.

In 2012 Geoscience Australia produced a National Seismic Hazard Map (NSHM) of Australia using the Probabilistic Seismic Hazard Assessment (PSHA) methodology. The primary product of the project was single 500 year return period Peak Ground Acceleration (PGA) map GA record 2012/71. For this assessment the hazard has been calculated for 14 return periods (100 - 100,000 years) and 21 SA periods (0.0 - 5.0s), giving 294 hazard layers (maps) for 48000 sites across Australia. We show five of the possible 294 hazard maps and 34 of the tens of thousands of possible hazard curves and spectra. These were selected to cover the main types of additional maps that have been requested since the NSHM was released and to cover a reasonable range of return periods, SA periods and locations. In this record, the probability factor (Kp) curve given in AS1170.4 is also compared to the curves calculated for the eight capital cities. Finally, the hazard spectra for the capital cities and some selected locations is compared to the spectra for site class Be given in AS1170.4.

Geoscience Australia is currently drafting a new National Earthquake Hazard Map of Australia using modern methods and models. Among other applications, the map is a key component of Australia's earthquake loading code AS1170.4. In this paper we provide a brief history of national earthquake hazard maps in Australia, with a focus on the map used in AS1170.4, and provide an overview of the proposed changes for the new map. The revision takes advantage of the significant improvements in both the data sets and models used for earthquake hazard assessment in Australia since the original maps were produced. These include: - An additional 20+ years of earthquake observations - Improved methods of declustering earthquake catalogues and calculating earthquake recurrence - Ground motion prediction equations (i.e. attenuation equations) based on observed strong motions instead of intensity - Revised earthquake source zones - Improved maximum magnitude earthquake estimates based on palaeoseismology - The use of open source software for undertaking probabilistic seismic hazard assessment which promotes testability and repeatability The following papers in this session will address in more detail the changes to the earthquake catalogue, earthquake recurrence and ground motion prediction equations proposed for use in the draft map. The draft hazard maps themselves are presented in the final paper.

Interactive Maps is a discovery and exploration view of Geoscience Australia's geospatial services. The following scientific and decision support themes have curated content comprised of maps and functions. Each map has queries and functions with linked access to OGC (Open Geospatial Consortium) web services and metadata. This system replaces MapConnect and AMSIS applications.

The Greater Metro Manila Area is one of the world's megacities and is home to about 12 million people. It is located in a region at risk from earthquakes, volcanic eruptions, tropical cyclones, riverine flooding, landslides and other natural hazards. Major flooding affected the Greater Metro Manila Area in September 2009 following the passage of Typhoon Ketsana (known locally as Typhoon Ondoy). Following this event, the Australian Aid Program supported Geoscience Australia to undertake a capacity building project with its partner agencies in the Government of the Philippines. The output of this project has been a series of risk information products developed by agencies in the Collective Strengthening of Community Awareness for Natural Disasters (CSCAND) group. These products quantify the expected physical damage and economic loss to buildings caused by earthquakes, tropical cyclone severe wind and riverine flooding across the Greater Metro Manila Area. Spatial data is a key input to the development of hazard models and information on exposure, or the 'elements at risk'. The development of a spatially enabled exposure database was a crucial element in the construction of risk information products for the Greater Metro Manila Area. The database provides one central repository to host consistent information about the location, size, type, age, residential population and structural characteristics of buildings within the area of interest. Unique spatial analysis techniques were employed to quantify and record important aspects of the built environment, for inclusion in the database. The process of exposure data development within the Greater Metro Manila Area, including a new application developed by Geoscience Australia for estimating the geometric characteristics of buildings from high resolution elevation data and multi-spectral imagery, will be presented.

A short film about a scientific project aimed at enhancing risk analysis capacities for flood, severe wind from tropical cyclones and earthquake in the Greater Metropolitan Manila Area. Manila is one of the world's megacities, and the Greater Metro Manila Area is prone to natural disasters. These events may have devastating consequences for individuals, communities, buildings, infrastructure and economic development. Understanding the risk is essential for implementing Disaster Risk Reduction programs. In partnership with AusAID, Geoscience Australia is providing technical leadership for risk analysis projects in the Asia-Pacific Region. In the Philippines, Geoscience Australia is engaging with Government of the Philippines agencies to deliver the "Enhancing Risk Analysis Capacities for Flood, Tropical Cyclone Severe Wind and Earthquake in the Greater Metro Manila Area" Project.

Geoscience Australia has recently released the 2012 version of the National Earthquake Hazard Map of Australia. Among other applications, the map is a key component of Australia's earthquake loading code AS1170.4. In this presentation we provide an overview of the new maps and how they were developed. The maps take advantage of significant improvements in both the data sets and models used for earthquake hazard assessment in Australia since the map currently in AS1170.4-2007 was produced. These include: - An additional 20+ years of earthquake observations - Improved methods of declustering earthquake catalogues and calculating earthquake recurrence - Ground motion prediction equations (i.e. attenuation equations) based on observed strong motions instead of intensity - Revised earthquake source zones implementing a multi-layer model - Improved maximum magnitude earthquake estimates based on palaeoseismology - The use of open source software for undertaking probabilistic seismic hazard assessment, which promotes testability and repeatability Hazard curves are presented for a range of response spectral acceleration (RSA) periods between 0.0 and 1.0 s and for return periods between a few hundred to a few thousand years. These curves and maps are compared with the current earthquake hazard values in AS1170.4-2007. For a return period of 500 years, the hazard values in the 0.0 s RSA period map are generally lower or the same as the hazard factor values in the AS1170.4 map. This is also true for most of the other RSA periods up to 1.0s for the cities in Australia with Darwin being the main exception. By contrast, the hazard for return periods above 1000 years is higher than the values derived from the tables in AS1170.4 for all RSA periods.

On 23 March 2012, at 09:25 UTC, an Mw 5.4 earthquake occurred in the eastern Musgrave Ranges of north-central South Australia, near the community of Ernabella (Pukatja). Several small communities in this remote part of central Australia reported the tremor, but there were no reports of injury or significant damage. This was the largest earthquake recorded on mainland Australia in the past 15 years and resulted in the formation of a 1.6 km long surface deformation zone that included reverse-fault scarps with a maximum vertical displacement of more than 0.5 m, extensive ground cracking, and numerous rock falls. The earthquake occurred in non-extended stable continental region (SCR) cratonic crust, more than 1900 km from the nearest plate boundary. Surface deformation from the Ernabella earthquake provides additional constraint on relations of surface-rupture length to earthquake magnitude. Such relations aid in interpreting Australia’s rich record of prehistoric seismicity and contribute to improved estimates of SCR seismic hazard worldwide. Based upon an analysis of new and reinterpretation of existing surface-rupture length data, faults in non-extended stable cratonic Australia appear to produce longer surface ruptures (for earthquakes larger than Mw ∼ 6:5) than rupture lengths estimated using existing moment-to rupture length scaling relations. The implication is that the estimated maximum, or characteristic, magnitude of paleoearthquakes in such settings may be overestimated where the estimate is based only on the length of the prehistoric fault scarp.

<div>This record links to tarred folders with simulation files used for a study on tsunami hazards in Tongatapu (eCat 146012) - DOI: https://doi.org/10.1093/gji/ggac140. </div><div><br></div><div>Access to this data will only be available by request via datacatalogue@ga.gov.au</div><div><br></div><div>The files were created using code here: </div><div>https://github.com/GeoscienceAustralia/ptha/tree/master/misc/monte_carlo_paper_2021. </div><div><br></div><div>This code should be read to understand the structure and contents of the tar archives. The simulation files are large and for most use cases you won't need them. First check if your needs a met via code and documentation at the link above. If the git repository doesn't include links to what you need, then it may be available in these tar archives. Contents include the datasets used to setup the model and the model outputs for every scenario. While the modelling files and code were developed by GA, at the time of writing, we do not have permission to distribute some of the input datasets outside of GA (including the Tongatapu LIDAR). </div><div><br></div><div>Access to this data will only be available by request via datacatalogue@ga.gov.au</div>

Queensland Fire and Emergency Services are leading the development of consistent risk information relating to the potential impacts of disasters across Queensland. The stated aim is to ensure all local, district and state government stakeholders have access to the same information to guide risk-based planning in the preparation for natural disasters. This extends to future projections natural hazard activity, including tropical cyclones (TC), in the Queensland region. To achieve this last objective, Queensland’s Department of Environment and Science (DES) have undertaken a program of regional climate simulations, with a view to informing long-term planning decisions. When it comes to TCs – a major cause of disasters in Queensland – many of the stakeholders want to answer the question: “How many severe tropical cyclones will the future hold for us?”, or similar questions around the likelihood of TC occurrence. To answer this, DES and Geoscience Australia are interrogating the regional climate simulations to extract Tropical Cyclone-Like Vortices (TCLVs). The behaviour of these TCLVs is then analysed to understand changes in frequency, intensity and spatial distribution. The TCLVs – with some additional bias corrections - can also be used as input to stochastic models that can provide probabilistic wind hazard information across the entire state of Queensland. In this paper we demonstrate the challenges of extracting TCLVs from regional climate models and the bias corrections required to make useful projections of TC activity into the future. Abstract presented at the 2020 Australian Meteorological and Oceanographic Society 2020 National Conference (http://amos-2020.w.amos.currinda.com/)