<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Vouillamoz, Naomi</dc:creator>
  <dc:creator>Wust-Bloch, Gilles Hillel</dc:creator>
  <dc:creator>Abednego, Martinus</dc:creator>
  <dc:creator>Mosar, Jon</dc:creator>
  <dc:date>2016</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Obtaining robust event catalogs in regions of low seismicity can be time-consuming,  because quality events are less frequent and sensor coverage is generally sparse.  Optimizing event detection and location in such regions is all the more crucial because  these areas tend to host a higher density of sensitive infrastructures. The meth-  odology proposed consists of reprocessing existing data recorded by a permanent  net-work and boosting the final catalog resolution by temporarily deploying portable  sparse mini-arrays in the target area. Sonogram analysis is applied on both existing  and new datasets to detect waveforms barely emerging from the background noise. A  visual interactive event analysis module is used to test for phase picking, event asso-  ciation, waveform cross correlation, and location ambiguities. It also estimates back  azimuth and slowness when sparse array data are available. The method is applied to  a low-seismicity region in the western Swiss Molasse basin where two sparse mini-  arrays were temporarily deployed. The detection of earthquakes is improved by a fac-  tor of 9 when reprocessing four yrs (2009–2013) of available data recorded by two  accelerometers and one broadband station in a 2500 km2 target area. Magnitude  estimations are empirically calibrated over four magnitude units, down to −1:7 ML,  lowering the existing catalog completeness by close to one magnitude unit. After  validating picking and location accuracies with a standard residual-based scheme, 174  newly detected events are relocated, illuminating zones of previously undetected  microseismic activity.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/305161</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/305161/files/mos_oed.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1785/0120160029</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>Bulletin of the Seismological Society of America. - 2016, vol. 106, no. 5, p. 2023–2036</dc:source>
  <dc:subject>info:eu-repo/classification/udc/55</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Optimizing event detection and location in low‐seismicity zones: case study from western Switzerland</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
