eprintid: 234 rev_number: 17 eprint_status: archive userid: 2 dir: disk0/00/00/02/34 datestamp: 2015-02-19 07:24:19 lastmod: 2017-02-08 12:21:37 status_changed: 2015-04-27 09:07:33 type: article metadata_visibility: show creators_name: Kozlowska, Maria creators_name: Orlecka-Sikora, Beata creators_name: Kwiatek, Grzegorz creators_name: Boettcher, Margaret S. creators_name: Dresen, Georg creators_id: mkozlow@igf.edu.pl creators_id: orlecka@igf.edu.pl creators_id: kwiatek@gfz-potsdam.de creators_id: creators_id: corp_creators: Institute of Geophysics Polish Academy of Sciences, Warsaw, Poland corp_creators: Institute of Geophysics Polish Academy of Sciences, Warsaw, Poland corp_creators: Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany corp_creators: Department of Earth Sciences, University of New Hampshire, Durham, New Hampshire, USA corp_creators: Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany title: Nanoseismicity and picoseismicity rate changes from static stress triggering caused by aMw2.2 earthquake in Mponeng gold mine, South Africa ispublished: pub subjects: RR subjects: SMU subjects: SS divisions: EPOS-P full_text_status: none keywords: induced seismicity; aftershocks; rate-and-state modeling abstract: Static stress changes following large earthquakes are known to affect the rate and distribution of aftershocks, yet this process has not been thoroughly investigated for nanoseismicity and picoseismicity at centimeter length scales. Here we utilize a unique data set of M ≥ −3.4 earthquakes following a Mw 2.2 earthquake in Mponeng gold mine, South Africa, that was recorded during a quiet interval in the mine to investigate if rate- and state-based modeling is valid for shallow, mining-induced seismicity. We use Dieterich's (1994) rate- and state-dependent formulation for earthquake productivity, which requires estimation of four parameters: (1) Coulomb stress changes due to the main shock, (2) the reference seismicity rate, (3) frictional resistance parameter, and (4) the duration of aftershock relaxation time. Comparisons of the modeled spatiotemporal patterns of seismicity based on two different source models with the observed distribution show that while the spatial patterns match well, the rate of modeled aftershocks is lower than the observed rate. To test our model, we used three metrics of the goodness-of-fit evaluation. The null hypothesis, of no significant difference between modeled and observed seismicity rates, was only rejected in the depth interval containing the main shock. Results show that mining-induced earthquakes may be followed by a stress relaxation expressed through aftershocks located on the rupture plane and in regions of positive Coulomb stress change. Furthermore, we demonstrate that the main features of the temporal and spatial distributions of very small, mining-induced earthquakes can be successfully determined using rate- and state-based stress modeling. date: 2015-01 date_type: published publication: Journal of Geophysical Research: Solid Earth publisher: John Wiley & Sons id_number: doi:10.1002/2014JB011410 refereed: TRUE issn: 2169-9313 official_url: http://dx.doi.org/10.1002/2014JB011410 access_IS-EPOS: limited owner: Publisher citation: Kozlowska, Maria and Orlecka-Sikora, Beata and Kwiatek, Grzegorz and Boettcher, Margaret S. and Dresen, Georg (2015) Nanoseismicity and picoseismicity rate changes from static stress triggering caused by aMw2.2 earthquake in Mponeng gold mine, South Africa. Journal of Geophysical Research: Solid Earth. DOI: https://doi.org/10.1002/2014JB011410