TY  - JOUR
A1  - Chen, Yen-Shin
A1  - Weatherill, Graeme
A1  - Pagani, Marco
A1  - Cotton, Fabrice Pierre
T1  - A transparent and data-driven global tectonic regionalization model for seismic hazard assessment
JF  - Geophysical journal international
N2  - A key concept that is common to many assumptions inherent within seismic hazard assessment is that of tectonic similarity. This recognizes that certain regions of the globe may display similar geophysical characteristics, such as in the attenuation of seismic waves, the magnitude scaling properties of seismogenic sources or the seismic coupling of the lithosphere. Previous attempts at tectonic regionalization, particularly within a seismic hazard assessment context, have often been based on expert judgements; in most of these cases, the process for delineating tectonic regions is neither reproducible nor consistent from location to location. In this work, the regionalization process is implemented in a scheme that is reproducible, comprehensible from a geophysical rationale, and revisable when new relevant data are published. A spatial classification-scheme is developed based on fuzzy logic, enabling the quantification of concepts that are approximate rather than precise. Using the proposed methodology, we obtain a transparent and data-driven global tectonic regionalization model for seismic hazard applications as well as the subjective probabilities (e.g. degree of being active/degree of being cratonic) that indicate the degree to which a site belongs in a tectonic category.
KW  - Fuzzy logic
KW  - Earthquake hazards
KW  - Seismicity and tectonic
Y1  - 2018
U6  - https://doi.org/10.1093/gji/ggy005
SN  - 0956-540X
SN  - 1365-246X
VL  - 213
IS  - 2
SP  - 1263
EP  - 1280
PB  - Oxford Univ. Press
CY  - Oxford
ER  -