{"title":"2002-2006 年中国长白山火山动荡引起的地表变形","authors":"Hongbao Liang , Dan Xu , Jingwei Li","doi":"10.1016/j.jvolgeores.2024.108234","DOIUrl":null,"url":null,"abstract":"<div><div>The Changbaishan volcano is recognized as one of China's most potentially dangerous active volcanoes. In response to the unrest event of 2002, GPS technology was utilized to monitor the surface deformation it induced. However, the understanding of the volcano's dynamics and the intricacies of GPS data at the time were limited, which affected the quality of the conclusions. For example, the commencement of GPS observations followed the escalation of seismic activities, leading to the loss of some deformation information. Moreover, observational noise in the GPS coordinate sequences introduced oscillations in the evolution of deformation characteristics. To overcome these limitations, we have developed an advanced GPS data processing methodology. This includes the establishment of a meticulous three-tier control network, the employment of high-precision geophysical models in GAMIT/GLOBK software, the creation of a volcanic regional reference frame, and the formulation of a sophisticated motion model for monitoring stations. With these approaches, we have captured the maximum surface deformation caused by the unrest and have re-evaluated the volume change (25.95× 10<sup>6</sup> m<sup>3</sup>/year) of the magma chamber based on Mogi model, yielding results that significantly surpass the mean of previous estimates of 8.58 × 10<sup>6</sup> m<sup>3</sup>/year and enhancing our understanding of the magma chamber's dimensions. Additionally, the surface deformation following the unrest displayed a pattern of continuous decay, which is in contrast to the seismic activity that initially rose and then declined, peaking notably after the surface deformation's peak. Considering the geological context of the volcano's formation, we have also provided an extensive dataset of GPS velocity fields. We have preliminarily discussed the possible relationship between the subduction of the Pacific Plate and the unrest in 2002, as well as the recent low-level unrest in 2021, acknowledging that this hypothesis requires further confirmation through stress modeling related to the disturbances. The deformation data resulting from the unrest, as well as the background deformation caused by plate subduction presented in this study, provide essential data constraints for the construction of subsequent stress models.</div></div>","PeriodicalId":54753,"journal":{"name":"Journal of Volcanology and Geothermal Research","volume":"457 ","pages":"Article 108234"},"PeriodicalIF":2.4000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Surface deformation caused by the unrest during 2002–2006 of the Changbaishan volcano in China\",\"authors\":\"Hongbao Liang , Dan Xu , Jingwei Li\",\"doi\":\"10.1016/j.jvolgeores.2024.108234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The Changbaishan volcano is recognized as one of China's most potentially dangerous active volcanoes. In response to the unrest event of 2002, GPS technology was utilized to monitor the surface deformation it induced. However, the understanding of the volcano's dynamics and the intricacies of GPS data at the time were limited, which affected the quality of the conclusions. For example, the commencement of GPS observations followed the escalation of seismic activities, leading to the loss of some deformation information. Moreover, observational noise in the GPS coordinate sequences introduced oscillations in the evolution of deformation characteristics. To overcome these limitations, we have developed an advanced GPS data processing methodology. This includes the establishment of a meticulous three-tier control network, the employment of high-precision geophysical models in GAMIT/GLOBK software, the creation of a volcanic regional reference frame, and the formulation of a sophisticated motion model for monitoring stations. With these approaches, we have captured the maximum surface deformation caused by the unrest and have re-evaluated the volume change (25.95× 10<sup>6</sup> m<sup>3</sup>/year) of the magma chamber based on Mogi model, yielding results that significantly surpass the mean of previous estimates of 8.58 × 10<sup>6</sup> m<sup>3</sup>/year and enhancing our understanding of the magma chamber's dimensions. Additionally, the surface deformation following the unrest displayed a pattern of continuous decay, which is in contrast to the seismic activity that initially rose and then declined, peaking notably after the surface deformation's peak. Considering the geological context of the volcano's formation, we have also provided an extensive dataset of GPS velocity fields. We have preliminarily discussed the possible relationship between the subduction of the Pacific Plate and the unrest in 2002, as well as the recent low-level unrest in 2021, acknowledging that this hypothesis requires further confirmation through stress modeling related to the disturbances. The deformation data resulting from the unrest, as well as the background deformation caused by plate subduction presented in this study, provide essential data constraints for the construction of subsequent stress models.</div></div>\",\"PeriodicalId\":54753,\"journal\":{\"name\":\"Journal of Volcanology and Geothermal Research\",\"volume\":\"457 \",\"pages\":\"Article 108234\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Volcanology and Geothermal Research\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0377027324002270\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Volcanology and Geothermal Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0377027324002270","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Surface deformation caused by the unrest during 2002–2006 of the Changbaishan volcano in China
The Changbaishan volcano is recognized as one of China's most potentially dangerous active volcanoes. In response to the unrest event of 2002, GPS technology was utilized to monitor the surface deformation it induced. However, the understanding of the volcano's dynamics and the intricacies of GPS data at the time were limited, which affected the quality of the conclusions. For example, the commencement of GPS observations followed the escalation of seismic activities, leading to the loss of some deformation information. Moreover, observational noise in the GPS coordinate sequences introduced oscillations in the evolution of deformation characteristics. To overcome these limitations, we have developed an advanced GPS data processing methodology. This includes the establishment of a meticulous three-tier control network, the employment of high-precision geophysical models in GAMIT/GLOBK software, the creation of a volcanic regional reference frame, and the formulation of a sophisticated motion model for monitoring stations. With these approaches, we have captured the maximum surface deformation caused by the unrest and have re-evaluated the volume change (25.95× 106 m3/year) of the magma chamber based on Mogi model, yielding results that significantly surpass the mean of previous estimates of 8.58 × 106 m3/year and enhancing our understanding of the magma chamber's dimensions. Additionally, the surface deformation following the unrest displayed a pattern of continuous decay, which is in contrast to the seismic activity that initially rose and then declined, peaking notably after the surface deformation's peak. Considering the geological context of the volcano's formation, we have also provided an extensive dataset of GPS velocity fields. We have preliminarily discussed the possible relationship between the subduction of the Pacific Plate and the unrest in 2002, as well as the recent low-level unrest in 2021, acknowledging that this hypothesis requires further confirmation through stress modeling related to the disturbances. The deformation data resulting from the unrest, as well as the background deformation caused by plate subduction presented in this study, provide essential data constraints for the construction of subsequent stress models.
期刊介绍:
An international research journal with focus on volcanic and geothermal processes and their impact on the environment and society.
Submission of papers covering the following aspects of volcanology and geothermal research are encouraged:
(1) Geological aspects of volcanic systems: volcano stratigraphy, structure and tectonic influence; eruptive history; evolution of volcanic landforms; eruption style and progress; dispersal patterns of lava and ash; analysis of real-time eruption observations.
(2) Geochemical and petrological aspects of volcanic rocks: magma genesis and evolution; crystallization; volatile compositions, solubility, and degassing; volcanic petrography and textural analysis.
(3) Hydrology, geochemistry and measurement of volcanic and hydrothermal fluids: volcanic gas emissions; fumaroles and springs; crater lakes; hydrothermal mineralization.
(4) Geophysical aspects of volcanic systems: physical properties of volcanic rocks and magmas; heat flow studies; volcano seismology, geodesy and remote sensing.
(5) Computational modeling and experimental simulation of magmatic and hydrothermal processes: eruption dynamics; magma transport and storage; plume dynamics and ash dispersal; lava flow dynamics; hydrothermal fluid flow; thermodynamics of aqueous fluids and melts.
(6) Volcano hazard and risk research: hazard zonation methodology, development of forecasting tools; assessment techniques for vulnerability and impact.