博碩士論文 105225015 完整後設資料紀錄

DC 欄位 語言
DC.contributor統計研究所zh_TW
DC.creator吳汶靜zh_TW
DC.creatorWen-Ching Wuen_US
dc.date.accessioned2019-1-29T07:39:07Z
dc.date.available2019-1-29T07:39:07Z
dc.date.issued2019
dc.identifier.urihttp://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=105225015
dc.contributor.department統計研究所zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract在大地震發生後,經常需要進行緊急的救災或是補強弱化結構的行動,為降低救災風險且順利進行結構補強,強餘震的即時風險評估是非常重要的。針對此一研究問題,傳統上採用RJ模式(Reasenberg and Jones ,1989)研究餘震發生的時間及規模分布,因為RJ模式假設餘震的發生時間與規模獨立,Chen等人(2015)修正RJ模式提出餘震規模分布與時間相依的MRJ模式。利用最大概似法估計在主震發生後的初期因為資料不足,RJ或MRJ模式無法獲得可靠的風險評估預測,故使用貝氏方法。因此本文考慮利用貝氏方法估計RJ和MRJ模式,並據以評估和預測餘震的風險。上述兩種模式分別應用最大概似估計方法與貝氏方法,針對下列三個餘震序列2008 發生在龍門山斷層的中國汶川地震、1999 發生在車籠埔斷層的台灣集集地震以及2011 發生在日本的東北大地震,說明如何進行強餘震的即時預測。zh_TW
dc.description.abstractEmergency rescue and structure reinforcement are often needed after a drastic earthquake. To reduce the hazard while doing the work, the near real-time assessment of strong aftershocks is of great urgent demand.. To do so, the RJ (Reasenberg and Jones, 1989) model is conventionally used to study the time-magnitude hazard of aftershocks. On the other hand, Chen et al. (2015) proposed a modified RJ (MRJ) model that includes a time-dependent magnitude distribution. Note that the low detection capability of aftershocks right after the main shock often leads to sparse data and hence the maximum likelihood inference or forecast may not be valid. Therefore, Bayesian methods are employed to analyze the RJ and MRJ models for the assessment of the time-magnitude hazard of aftershocks. The gridding method is further used to explore or forecast the spatial hazard of aftershocks. Analyses of relevant models are illustrated for three aftershock sequences, after 2008 7.9 Wenchuan, China, earthquake、1999 7.7 Chi-Chi, Taiwan, earthquake and 2011 9.0 Tohoku, Japan, earthquakes.en_US
DC.subject大森餘震發生率法則zh_TW
DC.subject古騰堡-芮克德 地震規模頻率法則zh_TW
DC.subject瑞森伯格-瓊斯 餘震時間規模風險模式zh_TW
DC.subject貝氏分析zh_TW
DC.subjectOmori-Utsu lawen_US
DC.subjectGutenberg-Richter magnitude frequency lawen_US
DC.subjectReasenberg- Jones time-magnitude modelen_US
DC.subjectBayesian analysisen_US
DC.title強餘震之即時貝氏預測zh_TW
dc.language.isozh-TWzh-TW
DC.titleNear real-time Bayesian forecast of strong aftershocksen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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