Item talk:Q327726
From geokb
{
"DOI": {
"doi": "10.5066/p94z8boz",
"prefix": "10.5066",
"suffix": "p94z8boz",
"identifiers": [],
"alternateIdentifiers": [],
"creators": [
{
"name": "Jones, Jamie L",
"nameType": "Personal",
"givenName": "Jamie L",
"familyName": "Jones",
"affiliation": [],
"nameIdentifiers": [
{
"schemeUri": "https://orcid.org",
"nameIdentifier": "https://orcid.org/0000-0002-9967-3314",
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},
{
"name": "Johnson, Laurie A",
"nameType": "Personal",
"givenName": "Laurie A",
"familyName": "Johnson",
"affiliation": [],
"nameIdentifiers": []
},
{
"name": "Wein, Anne",
"nameType": "Personal",
"givenName": "Anne",
"familyName": "Wein",
"affiliation": [],
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{
"schemeUri": "https://orcid.org",
"nameIdentifier": "https://orcid.org/0000-0002-5516-3697",
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},
{
"name": "Peters, Jeff",
"nameType": "Personal",
"givenName": "Jeff",
"familyName": "Peters",
"affiliation": [],
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{
"schemeUri": "https://orcid.org",
"nameIdentifier": "https://orcid.org/0000-0003-4312-0590",
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],
"titles": [
{
"title": "Estimated geospatial and tabular damages and vulnerable population distributions resulting from exposure to multiple hazards by the M7.0 HayWired scenario on April 18, 2018, for 17 counties in the San Francisco Bay region, California"
}
],
"publisher": "U.S. Geological Survey",
"container": {},
"publicationYear": 2020,
"subjects": [
{
"subject": "Seismology"
}
],
"contributors": [],
"dates": [
{
"date": "2020",
"dateType": "Issued"
}
],
"language": null,
"types": {
"ris": "DATA",
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"relatedIdentifier": "10.3133/sir20175013",
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{
"description": "This data release is comprised of geospatial and tabular data developed for the HayWired communities at risk analysis. The HayWired earthquake scenario is a magnitude 7.0 earthquake hypothesized to occur on the Hayward Fault on April 18, 2018, with an epicenter in the city of Oakland, CA. The following 17 counties are included in this analysis unless otherwise specified: Alameda, Contra Costa, Marin, Merced, Monterey, Napa, Sacramento, San Benito, San Francisco, San Joaquin, San Mateo, Santa Clara, Santa Cruz, Solano, Sonoma, Stanislaus, and Yolo. The vector data are a geospatial representation of building damage based on square footage damage estimates by Hazus occupancy class for developed areas covering all census tracts in 17 counties in and around the San Francisco Bay region in California, for (1) earthquake hazards (ground shaking, landslide, and liquefaction) and (2) all hazards (ground shaking, landslide, liquefaction, and fire) resulting from the HayWired earthquake scenario mainshock. The tabular data cover: (1) damage estimates, by Hazus occupancy class, of square footage, building counts, and households affected by the HayWired earthquake scenario mainshock for all census tracts in 17 counties in and around the San Francisco Bay region in California; (2) potential total population residing in block groups in nine counties in the San Francisco Bay region in California (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma); (3) a subset of select tables for 17 counties in and around the San Francisco Bay region in California from the U.S. Census Bureau American Community Survey 5-year (2012-2016) estimates at the block group level selected to represent potentially vulnerable populations that may, in the event of a major disaster, leave an area rather than stay; and (4) building and contents damage estimates (in thousands of dollars, 2005 vintage), by Hazus occupancy class, for the HayWired earthquake scenario mainshock for 17 counties in and around the San Francisco Bay region in California. The vector .SHP datasets were developed and intended for use in GIS applications such as ESRI's ArcGIS software suite. The tab-delimited .TXT datasets were developed and intended for use in standalone spreadsheet or database applications (such as Microsoft Excel or Access). Please note that some of these data are not optimized for use in GIS applications (such as ESRI's ArcGIS software suite) as-is--census tracts or counties are repeated (the data are not \"one-to-one\"), so not all information belonging to a tract or county would necessarily be associated with a single record. Separate preparation is needed in a standalone spreadsheet or database application like Microsoft Excel or Microsoft Access before using these data in a GIS. These data support the following publications: Johnson, L.A., Jones, J.L., Wein, A.M., and Peters, J., 2020, Communities at risk analysis of the HayWired scenario, chaps. U1-U5 of Detweiler, S.T., and Wein, A.M., eds., The HayWired earthquake scenario--Societal consequences: U.S. Geological Survey Scientific Investigations Report 2017-5013, https://doi.org/10.3133/sir20175013.",
"descriptionType": "Abstract"
}
],
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