Relationship between Crustal Deformation and Thermal Anomalies in the 2022 Ninglang Ms 5.5 Earthquake in China: Clues from InSAR and RST
On 2 January 2022, an earthquake of M<sub>s</sub> 5.5 occurred in Ninglang County, Lijiang City, the earthquake-prone area of northwestern Yunnan. Whether this earthquake caused significant deformation and thermal anomalies and whether there is a relationship between them needs further i...
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MDPI AG
2023-02-01
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author | Zhibin Lai Jiangqin Chao Zhifang Zhao Mingchun Wen Haiying Yang Wang Chai Yuan Yao Xin Zhao Qi Chen Jianyu Liu |
author_facet | Zhibin Lai Jiangqin Chao Zhifang Zhao Mingchun Wen Haiying Yang Wang Chai Yuan Yao Xin Zhao Qi Chen Jianyu Liu |
author_sort | Zhibin Lai |
collection | DOAJ |
description | On 2 January 2022, an earthquake of M<sub>s</sub> 5.5 occurred in Ninglang County, Lijiang City, the earthquake-prone area of northwestern Yunnan. Whether this earthquake caused significant deformation and thermal anomalies and whether there is a relationship between them needs further investigation. Currently, multi-source remote sensing technology has become a powerful tool for long-time-series monitoring of earthquakes and active ruptures which mainly focuses on single crustal deformation and thermal anomaly. This study aims to reveal the crustal deformation and thermal anomaly characteristics of the Ninglang earthquake by using both Interferometric Synthetic Aperture Radar (InSAR) and Robust Satellite Techniques (RST). First, Sentinel-1A satellite SAR data were selected to obtain the coseismic deformation field based on Differential InSAR (D-InSAR), and the Small Baseline Set InSAR (SBAS-InSAR) technique was exploited to invert the pre- and post-earthquake displacement sequences. Then, RST was used to extract the thermal anomalies before and after the earthquake by using Moderate Resolution Imaging Spectroradiometer Land Surface Temperature (MODIS LST). The results indicate that the seismic crustal deformation is dominated by subsidence, with 23 thermal anomalies before and after the earthquake. It is speculated that the Yongning Fault in the deformation area is the main seismogenic fault of the Ninglang earthquake, which is dominated by positive fault dip-slip motion. Meanwhile, the seismic fault system composed of NE- and NW-oriented faults is an important factor in the formation of thermal anomalies, which are accompanied by changes in stress at different stages before and after the earthquake. Moreover, the crustal deformation and seismic thermal anomalies are correlated in time and space, and the active rupture activities in the region produce deformation accompanied by changes in thermal radiation. This study provides clues from remote sensing observations for analyzing the Ninglang earthquake and provides a reference for the joint application of InSAR and RST for earthquake monitoring. |
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spelling | doaj.art-a33c9841ca0d493f916c7e6106638cdb2023-11-17T08:30:46ZengMDPI AGRemote Sensing2072-42922023-02-01155127110.3390/rs15051271Relationship between Crustal Deformation and Thermal Anomalies in the 2022 Ninglang Ms 5.5 Earthquake in China: Clues from InSAR and RSTZhibin Lai0Jiangqin Chao1Zhifang Zhao2Mingchun Wen3Haiying Yang4Wang Chai5Yuan Yao6Xin Zhao7Qi Chen8Jianyu Liu9School of Earth Sciences, Yunnan University, Kunming 650500, ChinaInstitute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, ChinaSchool of Earth Sciences, Yunnan University, Kunming 650500, ChinaInstitute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, ChinaSchool of Earth Sciences, Yunnan University, Kunming 650500, ChinaSchool of Earth Sciences, Yunnan University, Kunming 650500, ChinaSchool of Earth Sciences, Yunnan University, Kunming 650500, ChinaInstitute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, ChinaSchool of Earth Sciences, Yunnan University, Kunming 650500, ChinaInstitute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, ChinaOn 2 January 2022, an earthquake of M<sub>s</sub> 5.5 occurred in Ninglang County, Lijiang City, the earthquake-prone area of northwestern Yunnan. Whether this earthquake caused significant deformation and thermal anomalies and whether there is a relationship between them needs further investigation. Currently, multi-source remote sensing technology has become a powerful tool for long-time-series monitoring of earthquakes and active ruptures which mainly focuses on single crustal deformation and thermal anomaly. This study aims to reveal the crustal deformation and thermal anomaly characteristics of the Ninglang earthquake by using both Interferometric Synthetic Aperture Radar (InSAR) and Robust Satellite Techniques (RST). First, Sentinel-1A satellite SAR data were selected to obtain the coseismic deformation field based on Differential InSAR (D-InSAR), and the Small Baseline Set InSAR (SBAS-InSAR) technique was exploited to invert the pre- and post-earthquake displacement sequences. Then, RST was used to extract the thermal anomalies before and after the earthquake by using Moderate Resolution Imaging Spectroradiometer Land Surface Temperature (MODIS LST). The results indicate that the seismic crustal deformation is dominated by subsidence, with 23 thermal anomalies before and after the earthquake. It is speculated that the Yongning Fault in the deformation area is the main seismogenic fault of the Ninglang earthquake, which is dominated by positive fault dip-slip motion. Meanwhile, the seismic fault system composed of NE- and NW-oriented faults is an important factor in the formation of thermal anomalies, which are accompanied by changes in stress at different stages before and after the earthquake. Moreover, the crustal deformation and seismic thermal anomalies are correlated in time and space, and the active rupture activities in the region produce deformation accompanied by changes in thermal radiation. This study provides clues from remote sensing observations for analyzing the Ninglang earthquake and provides a reference for the joint application of InSAR and RST for earthquake monitoring.https://www.mdpi.com/2072-4292/15/5/1271InSARRSTcrustal deformationseismic thermal anomalyNinglang M<sub>s</sub> 5.5 earthquake |
spellingShingle | Zhibin Lai Jiangqin Chao Zhifang Zhao Mingchun Wen Haiying Yang Wang Chai Yuan Yao Xin Zhao Qi Chen Jianyu Liu Relationship between Crustal Deformation and Thermal Anomalies in the 2022 Ninglang Ms 5.5 Earthquake in China: Clues from InSAR and RST Remote Sensing InSAR RST crustal deformation seismic thermal anomaly Ninglang M<sub>s</sub> 5.5 earthquake |
title | Relationship between Crustal Deformation and Thermal Anomalies in the 2022 Ninglang Ms 5.5 Earthquake in China: Clues from InSAR and RST |
title_full | Relationship between Crustal Deformation and Thermal Anomalies in the 2022 Ninglang Ms 5.5 Earthquake in China: Clues from InSAR and RST |
title_fullStr | Relationship between Crustal Deformation and Thermal Anomalies in the 2022 Ninglang Ms 5.5 Earthquake in China: Clues from InSAR and RST |
title_full_unstemmed | Relationship between Crustal Deformation and Thermal Anomalies in the 2022 Ninglang Ms 5.5 Earthquake in China: Clues from InSAR and RST |
title_short | Relationship between Crustal Deformation and Thermal Anomalies in the 2022 Ninglang Ms 5.5 Earthquake in China: Clues from InSAR and RST |
title_sort | relationship between crustal deformation and thermal anomalies in the 2022 ninglang ms 5 5 earthquake in china clues from insar and rst |
topic | InSAR RST crustal deformation seismic thermal anomaly Ninglang M<sub>s</sub> 5.5 earthquake |
url | https://www.mdpi.com/2072-4292/15/5/1271 |
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