{"created":"2023-03-31T02:36:32.708939+00:00","id":5622,"links":{},"metadata":{"_buckets":{"deposit":"867bb449-60a2-4129-ae02-0a232a971c28"},"_deposit":{"id":"5622","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"5622"},"status":"published"},"_oai":{"id":"oai:nied-repo.bosai.go.jp:00005622","sets":[]},"author_link":[],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"293","bibliographicPageStart":"288","bibliographicVolumeNumber":"73","bibliographic_titles":[{"bibliographic_title":"土木学会論文集A1（構造・地震工学）","bibliographic_titleLang":"ja"},{"bibliographic_title":"Journal of Japan Society of Civil Engineers, Ser. A1 (Structural Engineering & Earthquake Engineering (SE/EE))","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"積雪重量は，構造設計上の雪荷重や除雪・雪下ろし等のリスクマネジメントの基礎となる情報である．また，融雪水推定や，高精度の重力測定など幅広い分野で課題となっている．反面，その直接計測は一般に困難で高費用であることから，リスクマネジメント上は容易かつ多様な方法で計測可能な積雪深が用いられることが多い．しかし，雪質によって単位重量が変化するため，積雪深のみに依存したリスクマネジメントには限界があり，積雪による構造物の崩壊事例が後を絶たない．本研究では，積雪深と積雪重量間の履歴関係を明らかにしてモデル化し，積雪深の履歴情報からリアルタイムに積雪重量を推定する方法を構築した．さらに，防災科学技術研究所において実施している積雪重量の長期モニタリングデータを利用して検証を行い，運用についての検討を行った．","subitem_description_language":"ja","subitem_description_type":"Other"},{"subitem_description":" Snow weight information is of interest to wide area of engineering and science. However, its direct measurement is costly in contrast to snow depth measurement where variety of methods from visual measure to advanced laser or remote sensing are available. Hence, snow weight information is usually sparse both in time and space compared to snow depth information. This paper proposes a hysteretic trilinear model to estimate snow weight from snow depth history. The model is verified by continuous monitoring data of snow depth and weight operated by National Research Institute for Earth Science and Disaster Resilience. The model is shown to match observed data well and selection procedure of parameters for the model is established. In addition, application to visual measure with sparse measurement in time is studied.","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"公益社団法人 土木学会","subitem_publisher_language":"ja"},{"subitem_publisher":"公益社団法人 土木学会","subitem_publisher_language":"en"}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.2208/jscejseee.73.288"}}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"阿部 雅人","creatorNameLang":"ja"},{"creatorName":"ABE Masato","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"中村 一樹","creatorNameLang":"ja"},{"creatorName":"NAKAMURA Kazuki","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"島村 誠","creatorNameLang":"ja"},{"creatorName":"SHIMAMURA Makoto","creatorNameLang":"en"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_title":"積雪深履歴を用いた積雪重量のリアルタイム推定","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"積雪深履歴を用いた積雪重量のリアルタイム推定","subitem_title_language":"ja"},{"subitem_title":"HYSTERETIC MODELING TO ESTIMATE SNOW WEIGHT FROM SNOW DEPTH HISTORY IN REAL TIME","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":"5622","relation_version_is_last":true,"title":["積雪深履歴を用いた積雪重量のリアルタイム推定"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-08T09:27:00.105846+00:00"}