{"created":"2023-03-30T09:21:31.350482+00:00","id":2933,"links":{},"metadata":{"_buckets":{"deposit":"6556e469-c091-464b-b178-8a43f6ee6697"},"_deposit":{"id":"2933","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"2933"},"status":"published"},"_oai":{"id":"oai:nied-repo.bosai.go.jp:00002933","sets":[]},"author_link":[],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"1214","bibliographicPageStart":"1200","bibliographicVolumeNumber":"215","bibliographic_titles":[{"bibliographic_title":"Geophysical Journal International","bibliographic_titleLang":"ja"},{"bibliographic_title":"Geophysical Journal International","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Offshore ocean bottom pressure gauges (OBPs) are often used to estimate the spatial distribution of the initial sea-surface height associated with offshore earthquakes (the tsunami source model). However, the sensors sometimes record pressure changes that are neither related to tsunamis nor seafloor coseismic displacements (the non-tsunami components) due to sensor rotation or tilt associated with ground shaking or due to long-term mechanical drift. These non-tsunami components can be a source of error when accurately estimating the tsunami source model and thus need to be removed to provide reliable coastal tsunami forecasts. This paper proposes a new method that uses time-derivative waveforms of the pressure time-series from OBP records to robustly estimate the tsunami source model, even when OBP data are perturbed by non-tsunami components. Using OBP data associated with the 2011 Off-Miyagi earthquake (Mw 7.2) and the 2016 Off-Mie earthquake (Mw 5.9), the performance of the method was evaluated when reducing artefacts due to non-tsunami components. The tsunami source model was found to be largely distorted when a conventional inversion method was used (because of the non-tsunami components). However, the artefact was dramatically reduced when using time-derivative waveforms, and the predicted coastal tsunami waveforms fitted reasonably with those of observations, thereby suggesting that the new method effectively suppresses artefacts caused by non-tsunami components. As the tsunami source models estimated from pressure and time-derivative waveforms should be similar when OBP data are not perturbed by non-tsunami components, we would be able to assess whether OBP data are perturbed by non-tsunami components by evaluating that the tsunami source models estimated from pressure waveforms and from time-derivative waveforms are similar to each other.","subitem_description_language":"ja","subitem_description_type":"Other"},{"subitem_description":"Offshore ocean bottom pressure gauges (OBPs) are often used to estimate the spatial distribution of the initial sea-surface height associated with offshore earthquakes (the tsunami source model). However, the sensors sometimes record pressure changes that are neither related to tsunamis nor seafloor coseismic displacements (the non-tsunami components) due to sensor rotation or tilt associated with ground shaking or due to long-term mechanical drift. These non-tsunami components can be a source of error when accurately estimating the tsunami source model and thus need to be removed to provide reliable coastal tsunami forecasts. This paper proposes a new method that uses time-derivative waveforms of the pressure time-series from OBP records to robustly estimate the tsunami source model, even when OBP data are perturbed by non-tsunami components. Using OBP data associated with the 2011 Off-Miyagi earthquake (Mw 7.2) and the 2016 Off-Mie earthquake (Mw 5.9), the performance of the method was evaluated when reducing artefacts due to non-tsunami components. The tsunami source model was found to be largely distorted when a conventional inversion method was used (because of the non-tsunami components). However, the artefact was dramatically reduced when using time-derivative waveforms, and the predicted coastal tsunami waveforms fitted reasonably with those of observations, thereby suggesting that the new method effectively suppresses artefacts caused by non-tsunami components. As the tsunami source models estimated from pressure and time-derivative waveforms should be similar when OBP data are not perturbed by non-tsunami components, we would be able to assess whether OBP data are perturbed by non-tsunami components by evaluating that the tsunami source models estimated from pressure waveforms and from time-derivative waveforms are similar to each other.","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"OXFORD UNIV PRESS","subitem_publisher_language":"en"}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1093/gji/ggy345"}}]},"item_10001_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1365-246X","subitem_source_identifier_type":"EISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tatsuya Kubota","creatorNameLang":"ja"},{"creatorName":"Tatsuya Kubota","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Wataru Suzuki","creatorNameLang":"ja"},{"creatorName":"Wataru Suzuki","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Takeshi Nakamura","creatorNameLang":"ja"},{"creatorName":"Takeshi Nakamura","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Naotaka Y. Chikasada","creatorNameLang":"ja"},{"creatorName":"Naotaka Y. Chikasada","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Shin Aoi","creatorNameLang":"ja"},{"creatorName":"Shin Aoi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Narumi Takahashi","creatorNameLang":"ja"},{"creatorName":"Narumi Takahashi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Ryota Hino","creatorNameLang":"ja"},{"creatorName":"Ryota Hino","creatorNameLang":"en"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_title":"Tsunami source inversion using time-derivative waveform of offshore pressure records to reduce the effects of non-tsunami components","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Tsunami source inversion using time-derivative waveform of offshore pressure records to reduce the effects of non-tsunami components","subitem_title_language":"ja"},{"subitem_title":"Tsunami source inversion using time-derivative waveform of offshore pressure records to reduce the effects of non-tsunami components","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"1","path":["1670839190650"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-03-30"},"publish_date":"2023-03-30","publish_status":"0","recid":"2933","relation_version_is_last":true,"title":["Tsunami source inversion using time-derivative waveform of offshore pressure records to reduce the effects of non-tsunami components"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-07T10:26:29.323505+00:00"}