Vote for your favorite mineral in #MinCup25! - Cuprosklodowskite vs. Ikaite
It's radioactive #cuprosklodowskite vs ephemeral #ikaite for today's match.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Wen, Ruizhi, Xu, Peibin, Wang, Hongwei, Ren, Yefei (2018) Single‐Station Standard Deviation Using Strong‐Motion Data from Sichuan Region, China. Bulletin of the Seismological Society of America, 108 (4). 2237-2247 doi:10.1785/0120170276

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleSingle‐Station Standard Deviation Using Strong‐Motion Data from Sichuan Region, China
JournalBulletin of the Seismological Society of America
AuthorsWen, RuizhiAuthor
Xu, PeibinAuthor
Wang, HongweiAuthor
Ren, YefeiAuthor
Year2018 (August)Volume108
Issue4
PublisherSeismological Society of America (SSA)
DOIdoi:10.1785/0120170276Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID7200907Long-form Identifiermindat:1:5:7200907:5
GUID0
Full ReferenceWen, Ruizhi, Xu, Peibin, Wang, Hongwei, Ren, Yefei (2018) Single‐Station Standard Deviation Using Strong‐Motion Data from Sichuan Region, China. Bulletin of the Seismological Society of America, 108 (4). 2237-2247 doi:10.1785/0120170276
Plain TextWen, Ruizhi, Xu, Peibin, Wang, Hongwei, Ren, Yefei (2018) Single‐Station Standard Deviation Using Strong‐Motion Data from Sichuan Region, China. Bulletin of the Seismological Society of America, 108 (4). 2237-2247 doi:10.1785/0120170276
In(2018, August) Bulletin of the Seismological Society of America Vol. 108 (4) Seismological Society of America (SSA)

See Also

These are possibly similar items as determined by title/reference text matching only.

Wen, Ruizhi, Wang, Hongwei, Ren, Yefei (2015) Rupture Directivity from Strong-Motion Recordings of the 2013 Lushan Aftershocks. Bulletin of the Seismological Society of America, 105 (6). 3068-3082 doi:10.1785/0120150100
Ren, Yefei, Zhou, Ying, Wang, Hongwei, Wen, Ruizhi (2018) Source Characteristics, Site Effects, and Path Attenuation from Spectral Analysis of Strong‐Motion Recordings in the 2016 Kaikōura Earthquake Sequence. Bulletin of the Seismological Society of America, 108 (3). 1757-1773 doi:10.1785/0120170290
Ren, Yefei, Wang, Hongwei, Xu, Peibin, Dhakal, Yadab P., Wen, Ruizhi, Ma, Qiang, Jiang, Peng (2018) Strong‐Motion Observations of the 2017 Ms 7.0 Jiuzhaigou Earthquake: Comparison with the 2013 Ms 7.0 Lushan Earthquake. Seismological Research Letters, 89 (4). 1354-1365 doi:10.1785/0220170238
Wang, Hongwei, Wen, Ruizhi, Ren, Yefei (2017) Simulating Ground‐Motion Directivity Using Stochastic Empirical Green’s Function Method. Bulletin of the Seismological Society of America, 107 (1). 359-371 doi:10.1785/0120160083
Ji, Kun, Ren, Yefei, Wen, Ruizhi (2021) Empirical Correlations between Generalized Ground-Motion Intensity Measures for Earthquakes in China. Bulletin of the Seismological Society of America, 111 (1) 274-294 doi:10.1785/0120200179
Wang, Hongwei, Li, Chunguo, Wen, Ruizhi, Ren, Yefei (2022) Integrating Effects of Source-Dependent Factors on Sediment-Depth Scaling of Additional Site Amplification to Ground-Motion Prediction Equation. Bulletin of the Seismological Society of America, 112 (1) 400-418 doi:10.1785/0120210134
Ji, Kun, Bouaanani, Najib, Wen, Ruizhi, Ren, Yefei (2017) Correlation of Spectral Accelerations for Earthquakes in China. Bulletin of the Seismological Society of America, 107 (3). 1213-1226 doi:10.1785/0120160291
Xu, Peibin, Ren, Yefei, Wen, Ruizhi, Wang, Hongwei (2020) Observations on Regional Variability in Ground-Motion Amplitude from Six Mw ~ 6.0 Earthquakes of the North–South Seismic Zone in China. Pure and Applied Geophysics, 177 (1) 247-264 doi:10.1007/s00024-019-02176-6
Wang, Hongwei, Ren, Yefei, Wen, Ruizhi, Xu, Peibin (2019) Investigating the Contribution of Stress Drop to Ground-Motion Variability by Simulations Using the Stochastic Empirical Green’s Function Method. Pure and Applied Geophysics, 176 (10) 4415-4430 doi:10.1007/s00024-019-02185-5
Rodriguez-Marek, A., Montalva, G. A., Cotton, F., Bonilla, F. (2011) Analysis of Single-Station Standard Deviation Using the KiK-net Data. Bulletin of the Seismological Society of America, 101 (3). 1242-1258 doi:10.1785/0120100252
Li, Hongrui, Wang, Hongwei, Wen, Ruizhi, Ren, Yefei, Lin, Guoliang, Cui, Jianwen, Zhou, Ying (2025) Attenuation Characteristics of Near-Source Ground Motions from Temporary Observations of Small Earthquakes in Yunnan Province, China. Seismological Research Letters, 96 (1). doi:10.1785/0220230373
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 14, 2025 05:19:29
Go to top of page