{"created":"2023-06-23T02:29:52.183779+00:00","id":2000003,"links":{},"metadata":{"_buckets":{"deposit":"df57f4be-2700-4d2a-8e79-dd616a15a424"},"_deposit":{"created_by":12,"id":"2000003","owner":"12","owners":[12],"pid":{"revision_id":0,"type":"depid","value":"2000003"},"status":"published"},"_oai":{"id":"oai:ncu.repo.nii.ac.jp:02000003","sets":["13:10:1687398559149:1687746608441"]},"author_link":["2661","1","2660"],"control_number":"2000003","item_10_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2023-03-31","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"27","bibliographicPageStart":"23","bibliographicVolumeNumber":"27","bibliographic_titles":[{"bibliographic_title":"芸術工学への誘い","bibliographic_titleLang":"ja"},{"bibliographic_title":"Bulletin Graduate School of Design ＆ Architecture Nagoya City University","bibliographic_titleLang":"en"}]}]},"item_10_description_7":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"近年、日本では有害藻類ブルームが原因の漁業被害が増えている。本研究では、気象データを入力とした有害藻類ブルームの予測モデル構築を試みる。有害藻類ブルームの事例として、三河湾の赤潮に着目する。三河湾の特定地点でのクロロフィルa濃度を有害藻類ブルーム観測値として、RandomForest機械学習回帰モデルで過去気象データから予測を試みた。モデルの学習には、三河湾での2018年から2022年までの観測前数目の気温・降水量・日照時間・風速、および直前の雲無し過去観測日のクロロフィルa濃度を特徴量とし、雲無し日の衛星観測クロロフィルa濃度値を予測した。回帰モデルの特徴量分析から、過去観測のクロロフィルa濃度値が重要であること、気象データの中では気温と日照時間がクロロフィルa濃度値の予測に寄与することが示唆された。","subitem_description_language":"ja","subitem_description_type":"Abstract"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[{}]}],"creatorNames":[{"creatorName":"有馬, 千晴","creatorNameLang":"ja"},{"creatorName":"Arima, Chiharu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":""}],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Takahashi, Nobuo","creatorNameLang":"en"},{"creatorName":"高橋, 信雄","creatorNameLang":"ja"}],"familyNames":[{},{}],"givenNames":[{},{}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":""}],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Kaminuma, Eli","creatorNameLang":"en"},{"creatorName":"神沼, 英里","creatorNameLang":"ja"}],"familyNames":[{},{}],"givenNames":[{},{}],"nameIdentifiers":[{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2023-06-26"}],"filename":"B71-20230331-23.pdf","filesize":[{"value":"2.3 MB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://ncu.repo.nii.ac.jp/record/2000003/files/B71-20230331-23.pdf"},"version_id":"97903280-a436-4a11-a2f0-810f1863ace0"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"有害藻類ブルーム","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"クロロフィルa濃度","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"機械学習","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"GCOM-C衛星","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"気象データ","subitem_subject_language":"ja","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"気象データを用いた三河湾有害藻類予測AIの構築 : GCOM-C衛星由来のクロロフィルa濃度予測モデルの検討","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"気象データを用いた三河湾有害藻類予測AIの構築 : GCOM-C衛星由来のクロロフィルa濃度予測モデルの検討","subitem_title_language":"ja"},{"subitem_title":"キショウ データ オ モチイタ ミカワワン ユウガイ モルイ ヨソク AI ノ コウチク GCOM-C エイセイ ユライ ノ クロロフィルa ノウド ヨソク モデル ノ ケントウ","subitem_title_language":"ja-Kana"}]},"item_type_id":"10","owner":"12","path":["1687746608441"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-06-23"},"publish_date":"2023-06-23","publish_status":"0","recid":"2000003","relation_version_is_last":true,"title":["気象データを用いた三河湾有害藻類予測AIの構築 : GCOM-C衛星由来のクロロフィルa濃度予測モデルの検討"],"weko_creator_id":"12","weko_shared_id":-1},"updated":"2023-11-30T02:24:56.346263+00:00"}