当サイトでは、より良いサービスを提供するため、クッキーを利用しています。クッキーの使用に同意いただける場合は「同意」ボタンをクリックし、クッキーポリシーについては「詳細を見る」をクリックしてください。詳しくは当サイトの サイトポリシー をご確認ください。

詳細を見る...
ログイン サインアップ
言語:

WEKO3

  • トップ
  • ランキング
To

Field does not validate



インデックスリンク

インデックスツリー

  • RootNode

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

{"_buckets": {"deposit": "22b54ce4-bb83-41d4-9a0d-1487e7bacac0"}, "_deposit": {"created_by": 10, "id": "5495", "owners": [10], "pid": {"revision_id": 0, "type": "depid", "value": "5495"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00005495", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2021-06-01", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "4", "bibliographicPageEnd": "699", "bibliographicPageStart": "684", "bibliographicVolumeNumber": "16", "bibliographic_titles": [{"bibliographic_title": "Journal of Disaster Research", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "To accurately capture ground motion in the Tokyo metropolitan area, we have developed a multi-data integration system that combines a large amount of ground motion data gathered from nationwide strong-motion seismograph networks (K-NET and KiK-net); Metropolitan Seismic Observation network (MeSO-net), which covers the Tokyo metropolitan area with a high density of about 300 observation stations; observation equipment held by private companies; and smartphone-based seismographs. K-NET, KiK-net, and MeSO-net are operated by National Research Institute for Earth Science and Disaster Resilience. The seismic waveform data recorded by MeSO-net, which are based on borehole observations, are one of the most important data sets for this system. To ensure collection of the waveform data, we strengthened the data center functions and made the collected data available to the public. In addition, to estimate the ground motion at the surface, which is important for disaster prevention, from the waveform data of MeSO-net, we carried out temporary seismic and microtremor array observations on the ground surface at each MeSO-net borehole station, and estimated ground amplification characteristics and the S-wave velocity structure. We also developed a smartphone-based seismograph with the aim of realizing seismic observations for tens of thousands of sites in the future. We recruited monitors to deploy the smartphone seismometers in the Tokyo metropolitan area, and developed a function to notify monitors of the results of a rough evaluation of the soundness of buildings based on observation data acquired during an earthquake. Furthermore, we have developed a Tokyo metropolitan area version of Kyoshin Monitor, the strong motion monitor system, with which the current ground motion in the Tokyo metropolitan area can be captured in real time by integrating and visualizing observation data from K-NET, KiK-net, and MeSO-net on a map on the website. We can capture the propagation of the ground motion in detail directly from the high-density data set integrated from these three networks. In addition, we also integrated data from Super-Dense Real-time Monitoring of Earthquakes (SUPREME) network of Tokyo Gas Co., Ltd., which operates about 4,000 observation stations in the Tokyo metropolitan area, after applying a time correction. We verified the integration method by reproducing the ground motion in the Tokyo metropolitan area during the 2011 Tohoku earthquake. The study findings have made it clear that the ground motion in the Tokyo metropolitan area can be captured in more detail by the integration of data produced by the public and private sectors.", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10001_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "Fuji Technology Press Ltd.", "subitem_publisher_language": "en"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.20965/jdr.2021.p0684"}}]}, "item_10001_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "1883-8030", "subitem_source_identifier_type": "EISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Shin Aoi", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Takeshi Kimura", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Tomotake Ueno", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Shigeki Senna", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Hiroki Azuma", "creatorNameLang": "en"}]}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_title": "Multi-Data Integration System to Capture Detailed Strong Ground Motion in the Tokyo Metropolitan Area", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Multi-Data Integration System to Capture Detailed Strong Ground Motion in the Tokyo Metropolitan Area", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "10", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/5495", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2024-04-29"}, "publish_date": "2024-04-29", "publish_status": "0", "recid": "5495", "relation": {}, "relation_version_is_last": true, "title": ["Multi-Data Integration System to Capture Detailed Strong Ground Motion in the Tokyo Metropolitan Area"], "weko_shared_id": -1}
  1. 防災科研関係論文

Multi-Data Integration System to Capture Detailed Strong Ground Motion in the Tokyo Metropolitan Area

https://nied-repo.bosai.go.jp/records/5495
https://nied-repo.bosai.go.jp/records/5495
dc5bef4b-a4b0-4859-a85a-a85ec8ebb8cd
Item type researchmap(1)
公開日 2024-04-29
タイトル
言語 en
タイトル Multi-Data Integration System to Capture Detailed Strong Ground Motion in the Tokyo Metropolitan Area
言語
言語 eng
著者 Shin Aoi

× Shin Aoi

en Shin Aoi

Search repository
Takeshi Kimura

× Takeshi Kimura

en Takeshi Kimura

Search repository
Tomotake Ueno

× Tomotake Ueno

en Tomotake Ueno

Search repository
Shigeki Senna

× Shigeki Senna

en Shigeki Senna

Search repository
Hiroki Azuma

× Hiroki Azuma

en Hiroki Azuma

Search repository
抄録
内容記述タイプ Other
内容記述 To accurately capture ground motion in the Tokyo metropolitan area, we have developed a multi-data integration system that combines a large amount of ground motion data gathered from nationwide strong-motion seismograph networks (K-NET and KiK-net); Metropolitan Seismic Observation network (MeSO-net), which covers the Tokyo metropolitan area with a high density of about 300 observation stations; observation equipment held by private companies; and smartphone-based seismographs. K-NET, KiK-net, and MeSO-net are operated by National Research Institute for Earth Science and Disaster Resilience. The seismic waveform data recorded by MeSO-net, which are based on borehole observations, are one of the most important data sets for this system. To ensure collection of the waveform data, we strengthened the data center functions and made the collected data available to the public. In addition, to estimate the ground motion at the surface, which is important for disaster prevention, from the waveform data of MeSO-net, we carried out temporary seismic and microtremor array observations on the ground surface at each MeSO-net borehole station, and estimated ground amplification characteristics and the S-wave velocity structure. We also developed a smartphone-based seismograph with the aim of realizing seismic observations for tens of thousands of sites in the future. We recruited monitors to deploy the smartphone seismometers in the Tokyo metropolitan area, and developed a function to notify monitors of the results of a rough evaluation of the soundness of buildings based on observation data acquired during an earthquake. Furthermore, we have developed a Tokyo metropolitan area version of Kyoshin Monitor, the strong motion monitor system, with which the current ground motion in the Tokyo metropolitan area can be captured in real time by integrating and visualizing observation data from K-NET, KiK-net, and MeSO-net on a map on the website. We can capture the propagation of the ground motion in detail directly from the high-density data set integrated from these three networks. In addition, we also integrated data from Super-Dense Real-time Monitoring of Earthquakes (SUPREME) network of Tokyo Gas Co., Ltd., which operates about 4,000 observation stations in the Tokyo metropolitan area, after applying a time correction. We verified the integration method by reproducing the ground motion in the Tokyo metropolitan area during the 2011 Tohoku earthquake. The study findings have made it clear that the ground motion in the Tokyo metropolitan area can be captured in more detail by the integration of data produced by the public and private sectors.
言語 en
書誌情報 en : Journal of Disaster Research

巻 16, 号 4, p. 684-699, 発行日 2021-06-01
出版者
言語 en
出版者 Fuji Technology Press Ltd.
ISSN
収録物識別子タイプ EISSN
収録物識別子 1883-8030
DOI
関連識別子 10.20965/jdr.2021.p0684
戻る
0
views
See details
Views

Versions

Ver.1 2023-03-31 02:32:45.406559
Show All versions

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3

Change consent settings


Powered by WEKO3

Change consent settings