In this paper, we perform hybrid broadband (0-10 Hz) ground motion simulations for the ten most significant events (Mw 4.7-7.1) in the 2010-2011 Canterbury earthquake sequence. Taking advantage of having repeated recordings at same stations, we validate our simulations using both recordings and an empirically-developed ground motion prediction equation (GMPE). The simulation clearly captures the sedimentary basin amplification and the rupture directivity effects. Quantitative comparisons of the simulations with both recordings and the GMPE, as well as analyses of the total residuals (indicating model bias) show that simulations perform better than the empirical GMPE, especially for long period. To scrutinize the ground motion variability, we partitioned the total residuals into different components. The total residual appears to be unbiased, and the use of a 3D velocity structure reduces the long period systematic bias particularly for stations located close to the Banks Peninsula volcanic area.
The 2015 New Zealand strong-motion database provides a wealth of new strong motion data for engineering applications. An important component of this database is the compilation of new site metadata, describing the soil conditions and site response at GeoNet strong motion stations. We have assessed and compiled four key site parameters for the ~460 GeoNet stations that recorded significant historical ground motions. Parameters include: site classification (NZS1170.5), Vs30, fundamental site period (Tsite) and depth to bedrock (Z1.0, i.e. depth to material with Vs > 1000 m/s). In addition, we have assigned a quality estimate (Quality 1 – 3) to these parameters to provide a qualitative estimate of the uncertainty. New highquality Tsite estimates have largely been obtained from newly available HVSR amplification curves and spectral ratios from inversion of regional strong motion data that has been reconciled with available geological information. Good quality Vs30 estimates, typically in urban centres, have also been incorporated following recent studies. Where site-specific measurements of Vs30 are not available, Vs30 is estimated based on surface geology following national Vs30 maps. New Z1.0 values have been provided from 3D subsurface models for Canterbury and Wellington. This database will be used in efforts to guide development and testing of new and existing ground motion prediction models in New Zealand. In particular, it will allow reexamination of the most important site parameters that control and predict site response in a New Zealand setting. Furthermore, it can be used to provide information about suitable rock reference sites for seismological research, and as a guide to site-specific references in the literature. We discuss compilation of the database, preliminary insights so far, and future directions.
In 2010/11 Christchurch, New Zealand suffered a series of major earthquakes that resulted in significant damage to the physical and social environment. The majority of buildings suffered some type of damage, with an estimated 11% of homes requiring demolition. The total cost of rebuilding the city has been estimated at $31bn; equivalent to 17% of NZ’s annual GDP. The social impacts of the disaster are ongoing and difficult to estimate, with continuing social displacement throughout the city and metropolitan area. These impacts will continue to have a significant impact on community recovery and resilience for some time to come. This paper introduces the Greening the Greyfields research project, which aims to develop and implement of a number of tools to aid urban planning decision-making with an overt focus on community and stakeholder engagement in the post-disaster reconstruction of Christchurch. The research was initially developed in two Australian metropolitan areas (Perth and Melbourne) and has been extended to New Zealand, to help facilitate the reconstruction process in Christchurch. The project has developed a geospatial toolkit designed to help produce best reconstruction options, by identifying potential redevelopment precincts, and simulating different scenarios in a 3D visualisation environment. The implementation of the project in Christchurch includes direct feedback from different stakeholders, in order to get buy-in and make the reconstruction process more sustainable and community-inclusive. This paper will briefly outline the methodology comprising the tools, and how it encourages community and stakeholder involvement in the post-disaster reconstruction of Christchurch.
