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": "9335130a-7a12-487d-b72f-e0c866d5df1f"}, "_deposit": {"created_by": 7, "id": "6357", "owners": [7], "pid": {"revision_id": 0, "type": "depid", "value": "6357"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00006357", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2023-07-18", "bibliographicIssueDateType": "Issued"}, "bibliographicPageStart": "112", "bibliographicVolumeNumber": "75", "bibliographic_titles": [{"bibliographic_title": "Earth, Planets and Space", "bibliographic_titleLang": "ja"}, {"bibliographic_title": "Earth, Planets and Space", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Ocean bottom pressure-gauge (OBP) records play an essential role in seafloor geodesy. Oceanographic fluctuations in OBP data, however, pose as a significant noise source in seafloor transient crustal deformation observations, including slow slip events (SSEs), making it crucial to evaluate them quantitatively. To extract the significant fluctuation phenomena common to multiple observation networks, including oceanographic fluctuations and tectonic signals, we applied principal component analysis (PCA) to the 3-year Dense Oceanfloor Network System for Earthquakes and Tsunamis (DONET) OBP time series for 40 stations during 2016?2019. PCA could separate several oceanographic signals based on the characteristics of their spatial distributions, although evident transient tectonic signals could not be confirmed from the observed pressure records during this observed period. The spatial distribution of the first four principal components (PCs) reflected the common component, inclined component along sea depth, longitude component, and parabola-like pattern, respectively. By subtracting each PC (in particular, PC-2 and PC-4) from the time series, we could significantly reduce the sea depth dependence of OBP records, which has been highlighted in several previous studies and is also evident in this region. We interpreted PCs 2?4 as the reflection of the strength and meandering of ocean geostrophic currents based on a comparison with the PC spatial distribution of the numerical oceanographic models. In addition, to evaluate the ability of PCA to separate transient tectonic signal from OBP time series, including oceanographic fluctuations, we conducted a synthetic ramp assuming an SSE by rectangular fault and then applied PCA. The assumed synthetic tectonic signal could be separated from the oceanographic signals and included in the principal component independently depending on its amplitude, suggesting that the spatial distribution of each PC would change if the amplitude of the synthetic signal were sufficiently large. We propose a transient event-detection method based on the spatial distribution difference of a specific PC with or without a tectonic signal. We used the normalized inner product (NIP) between these PCs as the indicator of their similarities. This method can detect transient tectonic signals more significantly than the moment-magnitude scale of 5.9 from OBP records.", "subitem_description_language": "ja", "subitem_description_type": "Other"}, {"subitem_description": "Ocean bottom pressure-gauge (OBP) records play an essential role in seafloor geodesy. Oceanographic fluctuations in OBP data, however, pose as a significant noise source in seafloor transient crustal deformation observations, including slow slip events (SSEs), making it crucial to evaluate them quantitatively. To extract the significant fluctuation phenomena common to multiple observation networks, including oceanographic fluctuations and tectonic signals, we applied principal component analysis (PCA) to the 3-year Dense Oceanfloor Network System for Earthquakes and Tsunamis (DONET) OBP time series for 40 stations during 2016?2019. PCA could separate several oceanographic signals based on the characteristics of their spatial distributions, although evident transient tectonic signals could not be confirmed from the observed pressure records during this observed period. The spatial distribution of the first four principal components (PCs) reflected the common component, inclined component along sea depth, longitude component, and parabola-like pattern, respectively. By subtracting each PC (in particular, PC-2 and PC-4) from the time series, we could significantly reduce the sea depth dependence of OBP records, which has been highlighted in several previous studies and is also evident in this region. We interpreted PCs 2?4 as the reflection of the strength and meandering of ocean geostrophic currents based on a comparison with the PC spatial distribution of the numerical oceanographic models. In addition, to evaluate the ability of PCA to separate transient tectonic signal from OBP time series, including oceanographic fluctuations, we conducted a synthetic ramp assuming an SSE by rectangular fault and then applied PCA. The assumed synthetic tectonic signal could be separated from the oceanographic signals and included in the principal component independently depending on its amplitude, suggesting that the spatial distribution of each PC would change if the amplitude of the synthetic signal were sufficiently large. We propose a transient event-detection method based on the spatial distribution difference of a specific PC with or without a tectonic signal. We used the normalized inner product (NIP) between these PCs as the indicator of their similarities. This method can detect transient tectonic signals more significantly than the moment-magnitude scale of 5.9 from OBP records.", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.1186/s40623-023-01862-z"}}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Hideto Otsuka", "creatorNameLang": "ja"}, {"creatorName": "Hideto Otsuka", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Yusaku Ohta", "creatorNameLang": "ja"}, {"creatorName": "Yusaku Ohta", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Ryota Hino", "creatorNameLang": "ja"}, {"creatorName": "Ryota Hino", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Tatsuya Kubota", "creatorNameLang": "ja"}, {"creatorName": "Tatsuya Kubota", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Daisuke Inazu", "creatorNameLang": "ja"}, {"creatorName": "Daisuke Inazu", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Tomohiro Inoue", "creatorNameLang": "ja"}, {"creatorName": "Tomohiro Inoue", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Narumi Takahashi", "creatorNameLang": "ja"}, {"creatorName": "Narumi Takahashi", "creatorNameLang": "en"}]}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_title": "Reduction of non-tidal oceanographic fluctuations in ocean-bottom pressure records of DONET using principal component analysis to enhance transient tectonic detectability", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Reduction of non-tidal oceanographic fluctuations in ocean-bottom pressure records of DONET using principal component analysis to enhance transient tectonic detectability", "subitem_title_language": "ja"}, {"subitem_title": "Reduction of non-tidal oceanographic fluctuations in ocean-bottom pressure records of DONET using principal component analysis to enhance transient tectonic detectability", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "7", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/6357", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-09-20"}, "publish_date": "2023-09-20", "publish_status": "0", "recid": "6357", "relation": {}, "relation_version_is_last": true, "title": ["Reduction of non-tidal oceanographic fluctuations in ocean-bottom pressure records of DONET using principal component analysis to enhance transient tectonic detectability"], "weko_shared_id": -1}
  1. 防災科研関係論文

Reduction of non-tidal oceanographic fluctuations in ocean-bottom pressure records of DONET using principal component analysis to enhance transient tectonic detectability

https://nied-repo.bosai.go.jp/records/6357
https://nied-repo.bosai.go.jp/records/6357
90f8455a-dc2d-43f0-a6b4-c06b70177fdf
Item type researchmap(1)
公開日 2023-09-20
タイトル
言語 ja
タイトル Reduction of non-tidal oceanographic fluctuations in ocean-bottom pressure records of DONET using principal component analysis to enhance transient tectonic detectability
タイトル
言語 en
タイトル Reduction of non-tidal oceanographic fluctuations in ocean-bottom pressure records of DONET using principal component analysis to enhance transient tectonic detectability
言語
言語 eng
著者 Hideto Otsuka

× Hideto Otsuka

ja Hideto Otsuka

en Hideto Otsuka

Search repository
Yusaku Ohta

× Yusaku Ohta

ja Yusaku Ohta

en Yusaku Ohta

Search repository
Ryota Hino

× Ryota Hino

ja Ryota Hino

en Ryota Hino

Search repository
Tatsuya Kubota

× Tatsuya Kubota

ja Tatsuya Kubota

en Tatsuya Kubota

Search repository
Daisuke Inazu

× Daisuke Inazu

ja Daisuke Inazu

en Daisuke Inazu

Search repository
Tomohiro Inoue

× Tomohiro Inoue

ja Tomohiro Inoue

en Tomohiro Inoue

Search repository
Narumi Takahashi

× Narumi Takahashi

ja Narumi Takahashi

en Narumi Takahashi

Search repository
抄録
内容記述タイプ Other
内容記述 Ocean bottom pressure-gauge (OBP) records play an essential role in seafloor geodesy. Oceanographic fluctuations in OBP data, however, pose as a significant noise source in seafloor transient crustal deformation observations, including slow slip events (SSEs), making it crucial to evaluate them quantitatively. To extract the significant fluctuation phenomena common to multiple observation networks, including oceanographic fluctuations and tectonic signals, we applied principal component analysis (PCA) to the 3-year Dense Oceanfloor Network System for Earthquakes and Tsunamis (DONET) OBP time series for 40 stations during 2016?2019. PCA could separate several oceanographic signals based on the characteristics of their spatial distributions, although evident transient tectonic signals could not be confirmed from the observed pressure records during this observed period. The spatial distribution of the first four principal components (PCs) reflected the common component, inclined component along sea depth, longitude component, and parabola-like pattern, respectively. By subtracting each PC (in particular, PC-2 and PC-4) from the time series, we could significantly reduce the sea depth dependence of OBP records, which has been highlighted in several previous studies and is also evident in this region. We interpreted PCs 2?4 as the reflection of the strength and meandering of ocean geostrophic currents based on a comparison with the PC spatial distribution of the numerical oceanographic models. In addition, to evaluate the ability of PCA to separate transient tectonic signal from OBP time series, including oceanographic fluctuations, we conducted a synthetic ramp assuming an SSE by rectangular fault and then applied PCA. The assumed synthetic tectonic signal could be separated from the oceanographic signals and included in the principal component independently depending on its amplitude, suggesting that the spatial distribution of each PC would change if the amplitude of the synthetic signal were sufficiently large. We propose a transient event-detection method based on the spatial distribution difference of a specific PC with or without a tectonic signal. We used the normalized inner product (NIP) between these PCs as the indicator of their similarities. This method can detect transient tectonic signals more significantly than the moment-magnitude scale of 5.9 from OBP records.
言語 ja
抄録
内容記述タイプ Other
内容記述 Ocean bottom pressure-gauge (OBP) records play an essential role in seafloor geodesy. Oceanographic fluctuations in OBP data, however, pose as a significant noise source in seafloor transient crustal deformation observations, including slow slip events (SSEs), making it crucial to evaluate them quantitatively. To extract the significant fluctuation phenomena common to multiple observation networks, including oceanographic fluctuations and tectonic signals, we applied principal component analysis (PCA) to the 3-year Dense Oceanfloor Network System for Earthquakes and Tsunamis (DONET) OBP time series for 40 stations during 2016?2019. PCA could separate several oceanographic signals based on the characteristics of their spatial distributions, although evident transient tectonic signals could not be confirmed from the observed pressure records during this observed period. The spatial distribution of the first four principal components (PCs) reflected the common component, inclined component along sea depth, longitude component, and parabola-like pattern, respectively. By subtracting each PC (in particular, PC-2 and PC-4) from the time series, we could significantly reduce the sea depth dependence of OBP records, which has been highlighted in several previous studies and is also evident in this region. We interpreted PCs 2?4 as the reflection of the strength and meandering of ocean geostrophic currents based on a comparison with the PC spatial distribution of the numerical oceanographic models. In addition, to evaluate the ability of PCA to separate transient tectonic signal from OBP time series, including oceanographic fluctuations, we conducted a synthetic ramp assuming an SSE by rectangular fault and then applied PCA. The assumed synthetic tectonic signal could be separated from the oceanographic signals and included in the principal component independently depending on its amplitude, suggesting that the spatial distribution of each PC would change if the amplitude of the synthetic signal were sufficiently large. We propose a transient event-detection method based on the spatial distribution difference of a specific PC with or without a tectonic signal. We used the normalized inner product (NIP) between these PCs as the indicator of their similarities. This method can detect transient tectonic signals more significantly than the moment-magnitude scale of 5.9 from OBP records.
言語 en
書誌情報 ja : Earth, Planets and Space
en : Earth, Planets and Space

巻 75, p. 112, 発行日 2023-07-18
DOI
関連識別子 10.1186/s40623-023-01862-z
戻る
0
views
See details
Views

Versions

Ver.1 2023-08-07 08:20:40.033783
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