Pub Date : 2025-07-01DOI: 10.1016/j.eqrea.2025.100358
Tao Li , Junxue Ma , Yuandong Huang , Shuhui Zhang , Huiran Gao , Chong Xu
Rainfall-induced landslides are often highly destructive. Reviewing and analyzing the causes, processes, impacts, and deficiencies in emergency response is critical for improving disaster prevention and management. From the night of July 21 to the morning of July 22, 2024, the Kencho Shacha Gozdi Village in Gezei Gofa, Southern Nations, Nationalities, and Peoples' Region, Ethiopia, suffered heavy rainfall that triggered two landslides. By July 25, this event had claimed at least 257 lives. This study presents a detailed characterization of the landslides using multi-source data. By analyzing the landslide disaster process, this study summarizes key lessons and provides suggestions for preventing rainfall-induced geological hazards. The results indicate that rainfall has the greatest impact on the occurrence of landslides, while lithology and human activities have promoted and strengthened the landslide disaster. Despite the active disaster response in the local area, many problems were still exposed in the emergency response work. This analysis offers valuable insights for mitigating rainfall-induced geological hazards and enhancing emergency response capabilities.
{"title":"Disaster analysis and lessons learned from the July 22, 2024, Ethiopian landslide","authors":"Tao Li , Junxue Ma , Yuandong Huang , Shuhui Zhang , Huiran Gao , Chong Xu","doi":"10.1016/j.eqrea.2025.100358","DOIUrl":"10.1016/j.eqrea.2025.100358","url":null,"abstract":"<div><div>Rainfall-induced landslides are often highly destructive. Reviewing and analyzing the causes, processes, impacts, and deficiencies in emergency response is critical for improving disaster prevention and management. From the night of July 21 to the morning of July 22, 2024, the Kencho Shacha Gozdi Village in Gezei Gofa, Southern Nations, Nationalities, and Peoples' Region, Ethiopia, suffered heavy rainfall that triggered two landslides. By July 25, this event had claimed at least 257 lives. This study presents a detailed characterization of the landslides using multi-source data. By analyzing the landslide disaster process, this study summarizes key lessons and provides suggestions for preventing rainfall-induced geological hazards. The results indicate that rainfall has the greatest impact on the occurrence of landslides, while lithology and human activities have promoted and strengthened the landslide disaster. Despite the active disaster response in the local area, many problems were still exposed in the emergency response work. This analysis offers valuable insights for mitigating rainfall-induced geological hazards and enhancing emergency response capabilities.</div></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"5 3","pages":"Article 100358"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01DOI: 10.1016/j.eqrea.2025.100360
Jiajing Xu, Guangjie Han, Nan Xi, Li Sun
At 20:08 on September 18, 2024, Beijing time, an earthquake of magnitude 4.7 occurred in Feidong, Anhui Province (31.98°N, 117.6°E). The China Earthquake Early Warning Network presented the first early warning results 8.9 s after the earthquake. The China Earthquake Networks Center (CENC) released the automatic rapid report results 163 s after the earthquake and the official rapid report results 8 min after the earthquake. At the same time, the CENC reported a series of emergency products, including source parameters, seismic tectonics, historical earthquakes, focal mechanism, instrument seismic intensity and predicted intensity. The results showed that the earthquake was located at the junction of the southern section of the Tanlu Fault and the Feizhong Fault, with aftershocks distributed in the NEE direction. The focal mechanism solution indicates that the earthquake is essentially a strike-slip event. The predicted intensity in the vicinity of the epicenter reaches up to VI, involving 23 towns that cover an area of about 1 359 km2. Only one station near the epicenter shows a peak acceleration value greater than the fortification standard of the area, which may cause slight damage to some adjacent houses, consistent with the actual damage to buildings.
{"title":"Preliminary analysis of emergency production and source parameters of the M 4.7 earthquake on September 18, 2024 in Feidong, Anhui","authors":"Jiajing Xu, Guangjie Han, Nan Xi, Li Sun","doi":"10.1016/j.eqrea.2025.100360","DOIUrl":"10.1016/j.eqrea.2025.100360","url":null,"abstract":"<div><div>At 20:08 on September 18, 2024, Beijing time, an earthquake of magnitude 4.7 occurred in Feidong, Anhui Province (31.98°N, 117.6°E). The China Earthquake Early Warning Network presented the first early warning results 8.9 s after the earthquake. The China Earthquake Networks Center (CENC) released the automatic rapid report results 163 s after the earthquake and the official rapid report results 8 min after the earthquake. At the same time, the CENC reported a series of emergency products, including source parameters, seismic tectonics, historical earthquakes, focal mechanism, instrument seismic intensity and predicted intensity. The results showed that the earthquake was located at the junction of the southern section of the Tanlu Fault and the Feizhong Fault, with aftershocks distributed in the NEE direction. The focal mechanism solution indicates that the earthquake is essentially a strike-slip event. The predicted intensity in the vicinity of the epicenter reaches up to VI, involving 23 towns that cover an area of about 1 359 km<sup>2</sup>. Only one station near the epicenter shows a peak acceleration value greater than the fortification standard of the area, which may cause slight damage to some adjacent houses, consistent with the actual damage to buildings.</div></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"5 3","pages":"Article 100360"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144906886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01DOI: 10.1016/j.eqrea.2025.100371
Chen Zhang , Ji Zhang , Jie Zhang
As one of the most seismically active regions, Sichuan basin is a key area of seismological studies in China. This study applies a neural network model with attention mechanisms, simultaneously picking the P-wave arrival times and determining the first-motion polarity. The polarity information is subsequently used to derive source focal mechanisms. The model is trained and tested using small to moderate earthquake data from June to December 2019 in Sichuan. We apply the trained model to predict first-motion polarity directions of earthquake recordings in Sichuan from January to May 2019, and then derive focal mechanism solutions using HASH algorithm with predicted results. Compared with the source mechanism solutions obtained by manual processing, the deep learning method picks more polarities from smaller events, resulting in more focal mechanism solutions. The catalog documents focal mechanism solutions of 22 events (ML 2.6–4.8) from analysts during this period, whereas we obtain focal mechanism solutions of 53 events (ML 1.9–4.8) through the deep learning method. The derived focal mechanism solutions for the same events are consistent with the manual solutions. This method provides an efficient way for the source mechanism inversion of small to moderate earthquakes in Sichuan region, with high stability and reliability.
{"title":"Deriving focal mechanism solutions of small to moderate earthquakes in Sichuan, China via a deep learning method","authors":"Chen Zhang , Ji Zhang , Jie Zhang","doi":"10.1016/j.eqrea.2025.100371","DOIUrl":"10.1016/j.eqrea.2025.100371","url":null,"abstract":"<div><div>As one of the most seismically active regions, Sichuan basin is a key area of seismological studies in China. This study applies a neural network model with attention mechanisms, simultaneously picking the P-wave arrival times and determining the first-motion polarity. The polarity information is subsequently used to derive source focal mechanisms. The model is trained and tested using small to moderate earthquake data from June to December 2019 in Sichuan. We apply the trained model to predict first-motion polarity directions of earthquake recordings in Sichuan from January to May 2019, and then derive focal mechanism solutions using HASH algorithm with predicted results. Compared with the source mechanism solutions obtained by manual processing, the deep learning method picks more polarities from smaller events, resulting in more focal mechanism solutions. The catalog documents focal mechanism solutions of 22 events (<em>M</em><sub>L</sub> 2.6–4.8) from analysts during this period, whereas we obtain focal mechanism solutions of 53 events (<em>M</em><sub>L</sub> 1.9–4.8) through the deep learning method. The derived focal mechanism solutions for the same events are consistent with the manual solutions. This method provides an efficient way for the source mechanism inversion of small to moderate earthquakes in Sichuan region, with high stability and reliability.</div></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"5 3","pages":"Article 100371"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01DOI: 10.1016/j.eqrea.2025.100389
Jiyan Lin , Tao Xu , Zhenyu Fan , Yong Qiu , Minjie Chen , Yonghong Duan
The Bayan Har block, one of China's most seismically active regions, has experienced multiple major earthquakes (≥M 7.0) in recent years. It is a key area for investigating the interactions between the Qinghai-Xizang (Qingzang) Plateau and adjacent blocks, plateau uplift, and strong earthquake mechanisms. P-wave velocity and crustal composition provide key constraints on the properties of distinct tectonic units and their evolutionary modification processes. Based on the results of 8 Deep Seismic Sounding (DSS) profiles completed in the Bayan Har block and surrounding areas over the past 20 years, We constructed one-dimensional P-wave velocity models for the crust of Bayan Har block, Qilian fold belt, Qinling fold belt, Alxa block, Ordos block and Sichuan basin. Furthermore, crustal composition models for different tectonic units were established based on these results. The results reveal that the crustal thickness of the Bayan Har block gradually decreases towards the NNE, NE, and SE directions, while the average crustal velocity increases correspondingly. The felsic layer in the crust accounts for more than half of the total crustal thickness. The mafic content within the crust of different tectonic units exhibits notable variations, which may reflect that the Bayan Har block, Qilian fold belt, and Qinling fold belt have experienced more intensive lithospheric evolution processes compared to Ordos basin and Sichuan basin. The seismicity distribution in this region is significantly controlled by crustal velocity and composition heterogeneity across the Bayan Har block and adjacent areas, which demonstrates that earthquakes within and around the Bayan Har block exhibit both high frequency and larger magnitudes. These seismic characteristics primarily result from intense crustal stress accumulation and release during the outward expansion of the Qingzang Plateau.
{"title":"Crustal velocity structure and composition of Bayan Har block and surrounding areas","authors":"Jiyan Lin , Tao Xu , Zhenyu Fan , Yong Qiu , Minjie Chen , Yonghong Duan","doi":"10.1016/j.eqrea.2025.100389","DOIUrl":"10.1016/j.eqrea.2025.100389","url":null,"abstract":"<div><div>The Bayan Har block, one of China's most seismically active regions, has experienced multiple major earthquakes (≥<em>M</em> 7.0) in recent years. It is a key area for investigating the interactions between the Qinghai-Xizang (Qingzang) Plateau and adjacent blocks, plateau uplift, and strong earthquake mechanisms. P-wave velocity and crustal composition provide key constraints on the properties of distinct tectonic units and their evolutionary modification processes. Based on the results of 8 Deep Seismic Sounding (DSS) profiles completed in the Bayan Har block and surrounding areas over the past 20 years, We constructed one-dimensional P-wave velocity models for the crust of Bayan Har block, Qilian fold belt, Qinling fold belt, Alxa block, Ordos block and Sichuan basin. Furthermore, crustal composition models for different tectonic units were established based on these results. The results reveal that the crustal thickness of the Bayan Har block gradually decreases towards the NNE, NE, and SE directions, while the average crustal velocity increases correspondingly. The felsic layer in the crust accounts for more than half of the total crustal thickness. The mafic content within the crust of different tectonic units exhibits notable variations, which may reflect that the Bayan Har block, Qilian fold belt, and Qinling fold belt have experienced more intensive lithospheric evolution processes compared to Ordos basin and Sichuan basin. The seismicity distribution in this region is significantly controlled by crustal velocity and composition heterogeneity across the Bayan Har block and adjacent areas, which demonstrates that earthquakes within and around the Bayan Har block exhibit both high frequency and larger magnitudes. These seismic characteristics primarily result from intense crustal stress accumulation and release during the outward expansion of the Qingzang Plateau.</div></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"5 3","pages":"Article 100389"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01DOI: 10.1016/j.eqrea.2025.100373
Su Chen , Yiming He , Xiaojun Li , Lei Fu
Researching and comprehending the characteristics of destructive seismic motions is essential for the seismic design of critical infrastructure. This study employs historical data from the M 7.5 earthquake that occurred in 1850 to simulate the impacts of a M 7.5 event on hydropower stations located in proximity to Xichang. Key factors taken into account in the simulation of seismic motion encompass uncertainties, mixed-source models, and the placement of asperities. Through these simulations, we acquired the peak ground acceleration (PGA), acceleration time histories, and acceleration response spectra for the hydropower facilities affected by the earthquake. To perform a comprehensive analysis, we utilized a multi-scenario stochastic finite fault simulation method to estimate parameters including the minimum, average, and maximum values of PGA and pseudo-spectral acceleration (PSA) response spectra. Additionally, we assessed the 50th, 84th, and 95th percentiles values of the peak ground acceleration and pseudo-spectral acceleration response spectra. The simulation results also include peak ground acceleration field maps and peak ground velocity (PGV) field maps and intensity distribution maps pertaining to the earthquake. The findings demonstrate that the intensity maps produced through the stochastic finite fault method closely correspond with the intensity contour maps published of historical seismic records. These findings offer significant insights for the seismic safety evaluation and design of the specified hydropower stations. Moreover, this multi-scenario methodology can be effectively utilized for other critical infrastructure projects to derive dependable seismic motion parameters.
{"title":"Influence of far-field mega earthquake on cascade hydropower along the Yalongjiang river by simulating the 1850 Xichang M 7.5 earthquake","authors":"Su Chen , Yiming He , Xiaojun Li , Lei Fu","doi":"10.1016/j.eqrea.2025.100373","DOIUrl":"10.1016/j.eqrea.2025.100373","url":null,"abstract":"<div><div>Researching and comprehending the characteristics of destructive seismic motions is essential for the seismic design of critical infrastructure. This study employs historical data from the <em>M</em> 7.5 earthquake that occurred in 1850 to simulate the impacts of a <em>M</em> 7.5 event on hydropower stations located in proximity to Xichang. Key factors taken into account in the simulation of seismic motion encompass uncertainties, mixed-source models, and the placement of asperities. Through these simulations, we acquired the peak ground acceleration (PGA), acceleration time histories, and acceleration response spectra for the hydropower facilities affected by the earthquake. To perform a comprehensive analysis, we utilized a multi-scenario stochastic finite fault simulation method to estimate parameters including the minimum, average, and maximum values of PGA and pseudo-spectral acceleration (PSA) response spectra. Additionally, we assessed the 50<sup>th</sup>, 84<sup>th</sup>, and 95<sup>th</sup> percentiles values of the peak ground acceleration and pseudo-spectral acceleration response spectra. The simulation results also include peak ground acceleration field maps and peak ground velocity (PGV) field maps and intensity distribution maps pertaining to the earthquake. The findings demonstrate that the intensity maps produced through the stochastic finite fault method closely correspond with the intensity contour maps published of historical seismic records. These findings offer significant insights for the seismic safety evaluation and design of the specified hydropower stations. Moreover, this multi-scenario methodology can be effectively utilized for other critical infrastructure projects to derive dependable seismic motion parameters.</div></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"5 3","pages":"Article 100373"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01DOI: 10.1016/j.eqrea.2024.100352
Chinmayi H.K , K. Colton Flynn , Amanda J. Ashworth
Remote sensing technologies play a vital role in our understanding of earthquakes and their impact on the Earth's surface. These technologies, including satellite imagery, aerial surveys, and advanced sensors, contribute significantly to our understanding of the complex nature of earthquakes. This review highlights the advancements in the integration of remote sensing technologies into earthquake studies. The combined use of satellite imagery and aerial photography in conjunction with geographic information systems (GIS) has been instrumental in showcasing the significance of fusing various types of satеllitе data sourcеs for comprеhеnsivе еarthquakе damagе assеssmеnts. However, remote sensing encounters challenges due to limited pre-event imagery and restricted post-earthquake site access. Furthеrmorе, thе application of dееp-lеarning mеthods in assеssing еarthquakе-damagеd buildings dеmonstratеs potеntial for furthеr progrеss in this fiеld. Overall, the utilization of remote sensing technologies has greatly enhanced our comprehension of earthquakes and their effects on the Earth's surface. The fusion of remote sensing technology with advanced data analysis methods holds tremendous potential for driving progress in earthquake studies and damage assessment.
{"title":"Advancements in remote sensing techniques for earthquake engineering: A review","authors":"Chinmayi H.K , K. Colton Flynn , Amanda J. Ashworth","doi":"10.1016/j.eqrea.2024.100352","DOIUrl":"10.1016/j.eqrea.2024.100352","url":null,"abstract":"<div><div>Remote sensing technologies play a vital role in our understanding of earthquakes and their impact on the Earth's surface. These technologies, including satellite imagery, aerial surveys, and advanced sensors, contribute significantly to our understanding of the complex nature of earthquakes. This review highlights the advancements in the integration of remote sensing technologies into earthquake studies. The combined use of satellite imagery and aerial photography in conjunction with geographic information systems (GIS) has been instrumental in showcasing the significance of fusing various types of satеllitе data sourcеs for comprеhеnsivе еarthquakе damagе assеssmеnts. However, remote sensing encounters challenges due to limited pre-event imagery and restricted post-earthquake site access. Furthеrmorе, thе application of dееp-lеarning mеthods in assеssing еarthquakе-damagеd buildings dеmonstratеs potеntial for furthеr progrеss in this fiеld. Overall, the utilization of remote sensing technologies has greatly enhanced our comprehension of earthquakes and their effects on the Earth's surface. The fusion of remote sensing technology with advanced data analysis methods holds tremendous potential for driving progress in earthquake studies and damage assessment.</div></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"5 3","pages":"Article 100352"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01DOI: 10.1016/j.eqrea.2025.100359
John E. Ebel
This paper presents a prospective forecast of the locations of the next MW ≥ 6.5 earthquakes in California and Nevada based on the locations and rates of occurrence of M ≥ 4.0 earthquakes during the past 30 years, called here preshocks. The time period of the forecast is arbitrarily set at 33 years. The forecast faults are the Anza section of the San Jacinto Fault, the Calaveras Fault, the creeping section of the San Andreas Fault, the Maacama Fault, the San Bernardino section of the San Jacinto Fault, and the southern San Andreas Fault, all strike-slip faults in California, and the normal-faulting Wassuk Range Fault in Nevada. The suspected preshocks have occurred randomly along the expected future fault ruptures at rates of at least 0.5 events per year. The temporal history of preshocks for past M ≥ 6.5 earthquakes in California do not indicate when the future mainshock will occur. Outside of California, preshock activity was observed before the 2016 MW 7.0 Kumamoto, Japan earthquake, the 2023 MW 7.8 Kahramanmaras, Turkey earthquake, and the 2017 MW 6.5 Jiuzhaigou, China earthquake, all strike-slip events, as well as the 2008 MW 7.9 Wenchuan, China thrust earthquake. The two mainshocks in China had preshock rates less than 0.5 events per year. By publishing this spatial earthquake forecast, seismologists in the future can evaluate whether or not this forecast was a total success, a total failure, or a partial success. The probability of just one of the forecast events actually taking place during the forecast time period is less than 2%.
{"title":"A spatial forecast of some MW≥6.5 earthquakes in California and Nevada","authors":"John E. Ebel","doi":"10.1016/j.eqrea.2025.100359","DOIUrl":"10.1016/j.eqrea.2025.100359","url":null,"abstract":"<div><div>This paper presents a prospective forecast of the locations of the next <em>M</em><sub>W</sub> ≥ 6.5 earthquakes in California and Nevada based on the locations and rates of occurrence of <em>M</em> ≥ 4.0 earthquakes during the past 30 years, called here preshocks. The time period of the forecast is arbitrarily set at 33 years. The forecast faults are the Anza section of the San Jacinto Fault, the Calaveras Fault, the creeping section of the San Andreas Fault, the Maacama Fault, the San Bernardino section of the San Jacinto Fault, and the southern San Andreas Fault, all strike-slip faults in California, and the normal-faulting Wassuk Range Fault in Nevada. The suspected preshocks have occurred randomly along the expected future fault ruptures at rates of at least 0.5 events per year. The temporal history of preshocks for past <em>M</em> ≥ 6.5 earthquakes in California do not indicate when the future mainshock will occur. Outside of California, preshock activity was observed before the 2016 <em>M</em><sub>W</sub> 7.0 Kumamoto, Japan earthquake, the 2023 <em>M</em><sub>W</sub> 7.8 Kahramanmaras, Turkey earthquake, and the 2017 <em>M</em><sub>W</sub> 6.5 Jiuzhaigou, China earthquake, all strike-slip events, as well as the 2008 <em>M</em><sub>W</sub> 7.9 Wenchuan, China thrust earthquake. The two mainshocks in China had preshock rates less than 0.5 events per year. By publishing this spatial earthquake forecast, seismologists in the future can evaluate whether or not this forecast was a total success, a total failure, or a partial success. The probability of just one of the forecast events actually taking place during the forecast time period is less than 2%.</div></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"5 3","pages":"Article 100359"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01DOI: 10.1016/j.eqrea.2024.100356
Lingyun Lu , Yueren Xu , Jiacheng Tang , Guiming Hu
Rapidly obtaining spatial distribution maps of secondary disasters triggered by strong earthquakes is crucial for understanding the disaster-causing processes in the earthquake hazard chain and formulating effective emergency response measures and post-disaster reconstruction plans. On April 3, 2024, a MW 7.4 earthquake struck offshore east of Hualien, Taiwan, China, which triggered numerous coseismic landslides in bedrock mountain regions and severe soil liquefaction in coastal areas, resulting in significant economic losses. This study utilized post-earthquake emergency data from China's high-resolution optical satellite imagery and applied visual interpretation method to establish a partial database of secondary disasters triggered by the 2024 Hualien earthquake. A total of 5 348 coseismic landslides were identified, which were primarily distributed along the eastern slopes of the Central Mountain Range watersheds. In high mountain valleys, these landslides mainly manifest as localized bedrock collapses or slope debris flows, causing extensive damage to highways and tourism facilities. Their distribution partially overlaps with the landslide concentration zones triggered by the 1999 Chi-Chi earthquake. Additionally, 6 040 soil liquefaction events were interpreted, predominantly in the Hualien Port area and the lowland valleys of the Hualien River and concentrated within the IX-intensity zone. Widespread surface subsidence and sand ejections characterized soil liquefaction. Verified against local field investigation data in Taiwan, rapid imaging through post-earthquake remote sensing data can effectively assess the distribution of coseismic landslides and soil liquefaction within high-intensity zones. This study provides efficient and reliable data for earthquake disaster response. Moreover, the results are critical for seismic disaster mitigation in high mountain valleys and coastal lowlands.
{"title":"High-resolution satellite imagery analysis of coseismic landslides and liquefaction induced by the 2024 MW 7.4 Hualien earthquake, Taiwan, China","authors":"Lingyun Lu , Yueren Xu , Jiacheng Tang , Guiming Hu","doi":"10.1016/j.eqrea.2024.100356","DOIUrl":"10.1016/j.eqrea.2024.100356","url":null,"abstract":"<div><div>Rapidly obtaining spatial distribution maps of secondary disasters triggered by strong earthquakes is crucial for understanding the disaster-causing processes in the earthquake hazard chain and formulating effective emergency response measures and post-disaster reconstruction plans. On April 3, 2024, a <em>M</em><sub>W</sub> 7.4 earthquake struck offshore east of Hualien, Taiwan, China, which triggered numerous coseismic landslides in bedrock mountain regions and severe soil liquefaction in coastal areas, resulting in significant economic losses. This study utilized post-earthquake emergency data from China's high-resolution optical satellite imagery and applied visual interpretation method to establish a partial database of secondary disasters triggered by the 2024 Hualien earthquake. A total of 5 348 coseismic landslides were identified, which were primarily distributed along the eastern slopes of the Central Mountain Range watersheds. In high mountain valleys, these landslides mainly manifest as localized bedrock collapses or slope debris flows, causing extensive damage to highways and tourism facilities. Their distribution partially overlaps with the landslide concentration zones triggered by the 1999 Chi-Chi earthquake. Additionally, 6 040 soil liquefaction events were interpreted, predominantly in the Hualien Port area and the lowland valleys of the Hualien River and concentrated within the IX-intensity zone. Widespread surface subsidence and sand ejections characterized soil liquefaction. Verified against local field investigation data in Taiwan, rapid imaging through post-earthquake remote sensing data can effectively assess the distribution of coseismic landslides and soil liquefaction within high-intensity zones. This study provides efficient and reliable data for earthquake disaster response. Moreover, the results are critical for seismic disaster mitigation in high mountain valleys and coastal lowlands.</div></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"5 3","pages":"Article 100356"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01DOI: 10.1016/j.eqrea.2024.100346
Hongwei Wang , Hongrui Li , Yefei Ren , Ruizhi Wen
The National Strong-Motion Observation Network System of China has collected over 12 000 strong-motion recordings from 2007 to December 2020. This study assembled the source-related metadata of 1 920 earthquakes associated with assembled well-processed recordings of China. The earthquake basic information, focal mechanisms, and the fault geometry were collected from various institutes and literature. We recommended the MW values for 900 earthquakes, the fault types for 1 064 earthquakes, and the fault geometries for 18 large earthquakes. We also performed the statistical analysis for establishing the empirical conversions of MW-MS, and ML, and providing the empirical relationships between MW and ruptured area, aspect ratio, respectively. Moreover, the ruptured fault geometries of large earthquakes were used to preliminarily divide all earthquakes considered into 1 141 mainshocks, and 779 aftershocks. The finite-fault distances (RJB and Rrup) of strong-motion recordings from the 18 large earthquakes were calculated, and then used to yield the statistic relationships between the point-source distances (Repi and Rhyp) and finite-fault distances. We finally provided the earthquake source database freely accessible at website. The source-related metadata can be directly applied to develop the ground motion prediction equations of China.
{"title":"A comprehensive earthquake source database for China’s strong-motion flatfile (2007–2020)","authors":"Hongwei Wang , Hongrui Li , Yefei Ren , Ruizhi Wen","doi":"10.1016/j.eqrea.2024.100346","DOIUrl":"10.1016/j.eqrea.2024.100346","url":null,"abstract":"<div><div>The National Strong-Motion Observation Network System of China has collected over 12 000 strong-motion recordings from 2007 to December 2020. This study assembled the source-related metadata of 1 920 earthquakes associated with assembled well-processed recordings of China. The earthquake basic information, focal mechanisms, and the fault geometry were collected from various institutes and literature. We recommended the <em>M</em><sub>W</sub> values for 900 earthquakes, the fault types for 1 064 earthquakes, and the fault geometries for 18 large earthquakes. We also performed the statistical analysis for establishing the empirical conversions of <em>M</em><sub>W</sub>-<em>M</em><sub>S</sub>, and <em>M</em><sub>L</sub>, and providing the empirical relationships between <em>M</em><sub>W</sub> and ruptured area, aspect ratio, respectively. Moreover, the ruptured fault geometries of large earthquakes were used to preliminarily divide all earthquakes considered into 1 141 mainshocks, and 779 aftershocks. The finite-fault distances (<em>R</em><sub>JB</sub> and <em>R</em><sub>rup</sub>) of strong-motion recordings from the 18 large earthquakes were calculated, and then used to yield the statistic relationships between the point-source distances (<em>R</em><sub>epi</sub> and <em>R</em><sub>hyp</sub>) and finite-fault distances. We finally provided the earthquake source database freely accessible at website. The source-related metadata can be directly applied to develop the ground motion prediction equations of China.</div></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"5 2","pages":"Article 100346"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01DOI: 10.1016/j.eqrea.2024.100349
Zhigang Peng , Xinglin Lei
Earthquakes are caused by the rapid slip along seismogenic faults. Whether large or small, there is inevitably a certain nucleation process involved before the dynamic rupture. At the same time, significant foreshock activity has been observed before some but not all large earthquakes. Understanding the nucleation process and foreshocks of earthquakes, especially large damaging ones, is crucial for accurate earthquake prediction and seismic hazard mitigation. The physical mechanism of earthquake nucleation and foreshock generation is still in debate. While the earthquake nucleation process is present in laboratory experiments and numerical simulations, it is difficult to observe such a process directly in the field. In addition, it is currently impossible to effectively distinguish foreshocks from ordinary earthquake sequences. In this article, we first summarize foreshock observations in the last decades and attempt to classify them into different types based on their temporal behaviors. Next, we present different mechanisms for earthquake nucleation and foreshocks that have been proposed so far. These physical models can be largely grouped into the following three categories: elastic stress triggering, aseismic slip, and fluid flows. We also review several recent studies of foreshock sequences before moderate to large earthquakes around the world, focusing on how different results/conclusions can be made by different datasets/methods. Finally, we offer some suggestions on how to move forward on the research topic of earthquake nucleation and foreshock mechanisms and their governing factors.
{"title":"Physical mechanisms of earthquake nucleation and foreshocks: Cascade triggering, aseismic slip, or fluid flows?","authors":"Zhigang Peng , Xinglin Lei","doi":"10.1016/j.eqrea.2024.100349","DOIUrl":"10.1016/j.eqrea.2024.100349","url":null,"abstract":"<div><div>Earthquakes are caused by the rapid slip along seismogenic faults. Whether large or small, there is inevitably a certain nucleation process involved before the dynamic rupture. At the same time, significant foreshock activity has been observed before some but not all large earthquakes. Understanding the nucleation process and foreshocks of earthquakes, especially large damaging ones, is crucial for accurate earthquake prediction and seismic hazard mitigation. The physical mechanism of earthquake nucleation and foreshock generation is still in debate. While the earthquake nucleation process is present in laboratory experiments and numerical simulations, it is difficult to observe such a process directly in the field. In addition, it is currently impossible to effectively distinguish foreshocks from ordinary earthquake sequences. In this article, we first summarize foreshock observations in the last decades and attempt to classify them into different types based on their temporal behaviors. Next, we present different mechanisms for earthquake nucleation and foreshocks that have been proposed so far. These physical models can be largely grouped into the following three categories: elastic stress triggering, aseismic slip, and fluid flows. We also review several recent studies of foreshock sequences before moderate to large earthquakes around the world, focusing on how different results/conclusions can be made by different datasets/methods. Finally, we offer some suggestions on how to move forward on the research topic of earthquake nucleation and foreshock mechanisms and their governing factors.</div></div>","PeriodicalId":100384,"journal":{"name":"Earthquake Research Advances","volume":"5 2","pages":"Article 100349"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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