{"_buckets": {"deposit": "c3ddbf94-b681-445f-a501-d0fda1b71933"}, "_deposit": {"id": "5903", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "5903"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00005903", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2012", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "8", "bibliographicPageEnd": "2697", "bibliographicPageStart": "2689", "bibliographicVolumeNumber": "12", "bibliographic_titles": [{"bibliographic_title": "Natural Hazards and Earth System Science", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "On 27 February 2010, a megathrust earthquake of M w = 8.8 generated a destructive tsunami in Chile. It struck not only Chilean coast but propagated all the way to Japan. After the event occurred, the post-tsunami survey team was assembled, funded by the Japan Science and Technology Agency (JST), to survey the area severely affected by the tsunami. The tsunami damaged and destroyed numerous houses, especially in the town of Dichato. In order to estimate the structural fragility against tsunami hazard in this area, tsunami fragility curves were developed. Surveyed data of inundation depth and visual inspection of satellite images of Dichato were used to classify the damage to housing. A practical method suitable when there are limitations on available data for numerical simulation or damage evaluation from surveys is presented here. This study is the first application of tsunami fragility curves on the South American Pacific coast and it might be of practical use for communities with similar characteristics along the west Pacific coast. The proposed curve suggests that structures in Dichato will be severely damaged - with a 68% probability - already at 2m tsunami inundation depth. c 2012 Author(s). CC Attribution 3.0 License.", "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": "10.5194/nhess-12-2689-2012"}}]}, "item_10001_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "1684-9981", "subitem_source_identifier_type": "EISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "E. Mas", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "S. Koshimura", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "A. Suppasri", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "M. Matsuoka", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "M. Matsuyama", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "T. Yoshii", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "C. Jimenez", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "F. Yamazaki", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "F. Imamura", "creatorNameLang": "en"}]}]}, "item_title": "Developing Tsunami fragility curves using remote sensing and survey data of the 2010 Chilean Tsunami in Dichato", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Developing Tsunami fragility curves using remote sensing and survey data of the 2010 Chilean Tsunami in Dichato", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "1", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/5903", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-03-30"}, "publish_date": "2023-03-30", "publish_status": "0", "recid": "5903", "relation": {}, "relation_version_is_last": true, "title": ["Developing Tsunami fragility curves using remote sensing and survey data of the 2010 Chilean Tsunami in Dichato"], "weko_shared_id": -1}