Jun Xie, Xiangfang Zeng, C. Liang, S. Ni, R. Chu, F. Bao, Rongbing Lin, Benxin Chi, Hao Lv
{"title":"Ice plate deformation and cracking revealed by an in situ-distributed acoustic sensing array","authors":"Jun Xie, Xiangfang Zeng, C. Liang, S. Ni, R. Chu, F. Bao, Rongbing Lin, Benxin Chi, Hao Lv","doi":"10.5194/tc-18-837-2024","DOIUrl":null,"url":null,"abstract":"Abstract. Studying seismic sources and wave propagation in ice plates can provide valuable insights into understanding various processes, such as ice structure dynamics, migration, fracture mechanics and mass balance. However, the harsh environment makes it difficult to conduct in situ dense seismic observations. Consequently, our understanding of the dynamic changes within the ice sheet remains insufficient. We conducted a seismic experiment using a distributed acoustic sensing (DAS) array on a frozen lake, exciting water vibrations through underwater airgun shots. By employing an artificial intelligence method, we were able to detect seismic events that include both high-frequency icequakes and low-frequency events. The icequakes clustered along ice fractures and their activity correlated with local temperature variations. The waveforms of low-frequency events exhibit characteristics of flexural-gravity waves, which offers insights into the properties of the ice plate. Our study demonstrates the effectiveness of an DAS array as an in situ dense seismic network for investigating the internal failure process and dynamic deformation of ice plates such as the ice shelf, which may contribute to an enhanced comprehension and prediction of ice shelf disintegration.\n","PeriodicalId":509217,"journal":{"name":"The Cryosphere","volume":"60 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Cryosphere","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/tc-18-837-2024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract. Studying seismic sources and wave propagation in ice plates can provide valuable insights into understanding various processes, such as ice structure dynamics, migration, fracture mechanics and mass balance. However, the harsh environment makes it difficult to conduct in situ dense seismic observations. Consequently, our understanding of the dynamic changes within the ice sheet remains insufficient. We conducted a seismic experiment using a distributed acoustic sensing (DAS) array on a frozen lake, exciting water vibrations through underwater airgun shots. By employing an artificial intelligence method, we were able to detect seismic events that include both high-frequency icequakes and low-frequency events. The icequakes clustered along ice fractures and their activity correlated with local temperature variations. The waveforms of low-frequency events exhibit characteristics of flexural-gravity waves, which offers insights into the properties of the ice plate. Our study demonstrates the effectiveness of an DAS array as an in situ dense seismic network for investigating the internal failure process and dynamic deformation of ice plates such as the ice shelf, which may contribute to an enhanced comprehension and prediction of ice shelf disintegration.
摘要研究冰板中的地震源和波传播可为了解冰结构动力学、迁移、断裂力学和质量平衡等各种过程提供宝贵的见解。然而,由于环境恶劣,很难在现场进行密集的地震观测。因此,我们对冰原内部动态变化的了解仍然不足。我们利用分布式声学传感(DAS)阵列在冰冻湖面上进行了地震实验,通过水下气枪射击激发水体振动。通过采用人工智能方法,我们能够探测到包括高频冰震和低频冰震在内的地震事件。冰震沿着冰裂缝聚集,其活动与当地的温度变化相关。低频事件的波形表现出挠曲重力波的特征,这有助于深入了解冰板的特性。我们的研究证明了 DAS 阵列作为现场密集地震网络在研究冰架等冰板内部破坏过程和动态变形方面的有效性,这可能有助于加强对冰架解体的理解和预测。