Item talk:Q240164
From geokb
{
"USGS Publications Warehouse": {
"@context": "https://schema.org",
"@type": "Article",
"additionalType": "Journal Article",
"name": "Considerations in comparing the U.S. Geological Survey one\u2010year induced\u2010seismicity hazard models with \u201cDid You Feel It?\u201d and instrumental data",
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"url": "https://pubs.usgs.gov/publication/70195106"
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"value": "10.1785/0220170033",
"url": "https://doi.org/10.1785/0220170033"
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"journal": {
"@type": "Periodical",
"name": "Seismological Research Letters",
"volumeNumber": "89",
"issueNumber": "1"
},
"inLanguage": "en",
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"name": "Seismological Research Letters"
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"datePublished": "2017",
"dateModified": "2018-02-08",
"abstract": "The recent steep increase in seismicity rates in Oklahoma, southern Kansas, and other parts of the central United States led the U.S. Geological Survey (USGS) to develop, for the first time, a probabilistic seismic hazard forecast for one year (2016) that incorporates induced seismicity. In this study, we explore a process to ground\u2010truth the hazard model by comparing it with two databases of observations: modified Mercalli intensity (MMI) data from the \u201cDid You Feel It?\u201d (DYFI) system and peak ground acceleration (PGA) values from instrumental data. Because the 2016 hazard model was heavily based on earthquake catalogs from 2014 to 2015, this initial comparison utilized observations from these years. Annualized exceedance rates were calculated with the DYFI and instrumental data for direct comparison with the model. These comparisons required assessment of the options for converting hazard model results and instrumental data from PGA to MMI for comparison with the DYFI data. In addition, to account for known differences that affect the comparisons, the instrumental PGA and DYFI data were declustered, and the hazard model was adjusted for local site conditions. With these adjustments, examples at sites with the most data show reasonable agreement in the exceedance rates. However, the comparisons were complicated by the spatial and temporal completeness of the instrumental and DYFI observations. Furthermore, most of the DYFI responses are in the MMI II\u2013IV range, whereas the hazard model is oriented toward forecasts at higher ground\u2010motion intensities, usually above about MMI IV. Nevertheless, the study demonstrates some of the issues that arise in making these comparisons, thereby informing future efforts to ground\u2010truth and improve hazard modeling for induced\u2010seismicity applications.",
"description": "11 p.",
"publisher": {
"@type": "Organization",
"name": "Seismological Society of America"
},
"author": [
{
"@type": "Person",
"name": "White, Isabel",
"givenName": "Isabel",
"familyName": "White",
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"value": "0000-0003-3572-8969",
"url": "https://orcid.org/0000-0003-3572-8969"
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"affiliation": [
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"@type": "Organization",
"name": "Geologic Hazards Science Center",
"url": "https://www.usgs.gov/centers/geologic-hazards-science-center"
}
]
},
{
"@type": "Person",
"name": "Liu, Taojun",
"givenName": "Taojun",
"familyName": "Liu",
"affiliation": [
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"@type": "Organization",
"name": "University of Colorado, Boulder CO"
}
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},
{
"@type": "Person",
"name": "Luco, Nicolas nluco@usgs.gov",
"givenName": "Nicolas",
"familyName": "Luco",
"email": "nluco@usgs.gov",
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"name": "Geologic Hazards Science Center",
"url": "https://www.usgs.gov/centers/geologic-hazards-science-center"
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},
{
"@type": "Person",
"name": "Liel, Abbie",
"givenName": "Abbie",
"familyName": "Liel",
"affiliation": [
{
"@type": "Organization",
"name": "Dept. of Civil, Environ. and Architectural Engineering, University of Colorado"
}
]
}
],
"funder": [
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"@type": "Organization",
"name": "Geologic Hazards Science Center",
"url": "https://www.usgs.gov/centers/geologic-hazards-science-center"
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"name": "United States",
"url": "https://geonames.org/4074035"
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