Electronic appendix to Automated Classification of Near-Fault Acceleration Pulses Using Wavelet Packets

This dataset has been superseded by version 2, at doi:10.5523/bris.3u7wmvffczr162ejyzn51zvy85

GENESIS tackles the global challenge of modelling interacting natural-engineering-social systems subjected to cascading earthquake-triggered hazards. Holistic scenario analysis will facilitate the understanding of possible future scenarios that may unfold from different hazards as well as different risk drivers (e.g., population growth, urbanisation, land use, design standards, and human behaviour). For this purpose, a wide range of new and state-of-the-art hazard and risk models will be integrated into a comprehensive methodology by taking into account uncertainty associated with predictions of hazards and risks. It aims at enhancing community resilience against catastrophic earthquake disasters by promoting dynamic and informed decision processes.

Creator(s) Flavia De Luca, Zhiwang Chang, Katsuichiro Goda
Publication date 31 Jan 2019
Language eng
Publisher University of Bristol
Licence Non-Commercial Government License for public sector information
DOI 10.5523/bris.1wc9d21lbd5fr2mvhng72zpyj3
Complete download (zip) https://data.bris.ac.uk/datasets/1wc9d21lbd5fr2mvhng72zpyj3/1wc9d21lbd5fr2mvhng72zpyj3.zip
Citation Flavia De Luca, Zhiwang Chang, Katsuichiro Goda (2019): Electronic appendix to Automated Classification of Near-Fault Acceleration Pulses Using Wavelet Packets. https://doi.org/10.5523/bris.1wc9d21lbd5fr2mvhng72zpyj3
Total size 5.3 MiB

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