カンピ・フレグレイ火山の現在の動乱のより明確な見方
Xing Tan1, Anna Tramelli2, Sergio Gammaldi2
1Geophysics Department, Stanford University, Stanford, CA, USA.
まとめ
機械学習により カンピ・フレグレイの地震モニタリングが改善され 詳細な断層構造と水熱活動が明らかになりました マグマの移動や 深い地震活動は検出されず 火山の動乱の追跡を強化しました
科学分野:
- 地理学
- 火山学
- 機械学習
背景:
- カンピ・フレグレイ・カルデラ (Campi Flegrei caldera,CFc) は,地震が激しい火山地帯である.
- 現存する地震モニタリングネットワークは 火山の乱れを正確に追跡するために強化する必要があります.
研究 の 目的:
- CFcの地震モニタリングネットワークのパフォーマンスを改善するために,再訓練された機械学習のワークフローを使用します.
- より包括的な地震性カタログを通じて火山の動乱の進化を追跡することを強化します.
主な方法:
- 2022年1月21日から2025年3月までの連続地震データの分析
- 地震カタログを拡張するために,再訓練された機械学習のワークフローを適用します.
- 断層システムと地震源を特徴付けるための詳細な地震学的分析.
主要な成果:
- 震度カタログを 約12,000から 54,000以上の地震に拡張しました.
- 狭い地震深さの範囲を持つ鋭く定義されたカルデラリング断層系 (RFS) を明らかにした.
- 北部カルデラの浅い断層と,水熱システムに関連した非常に浅いハイブリッド地震の源です.
結論:
- 強化された地震カタログは,CFcでの地震のより完全なイメージを提供します.
- RFS内の3.7km以下では,上向きのマグマ移動や地震活動の証拠は観察されなかった.
- この研究は,カンピ・フレグレイの動乱と水熱システムのダイナミクスの理解を向上させます.
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