A Seismic Landslide Hazard Assessment in Small Areas Based on Multilevel Physical and Mechanical Parameters: A Case Study of the Upper Yangzi River
Many landslides triggered by earthquakes have caused a countless loss of life and property, therefore, it is very important to predict landslide hazards accurately. In this work, regional seismic landslide data were obtained via a field survey, remote sensing interpretation, and data collection, and...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/2/777 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832589171950092288 |
|---|---|
| author | Yunxin Zhan Zhi Song Dan Li Lian Xue Tianju Huang |
| author_facet | Yunxin Zhan Zhi Song Dan Li Lian Xue Tianju Huang |
| author_sort | Yunxin Zhan |
| collection | DOAJ |
| description | Many landslides triggered by earthquakes have caused a countless loss of life and property, therefore, it is very important to predict landslide hazards accurately. In this work, regional seismic landslide data were obtained via a field survey, remote sensing interpretation, and data collection, and a multilevel physical and mechanical parameter system for seismic landslide hazard assessment was established; this system included a landslide inventory, loose accumulation layers, and geological units, enabling higher accuracy in the data. The Newmark displacement model with a modified correlation coefficient was used to assess the regional seismic landslide hazard in four scenarios (<i>a</i> = 0.1, 0.2, 0.3, 0.4) to study the influence of the landslide hazard at different peak ground accelerations. Moreover, the information value model was used to modify the calculated results to improve their accuracy in the assessment. By assessing the potential seismic landslide hazard in Shimian County in the upper reaches of the Yangtze River, the regional landslide distribution and pattern at different peak ground accelerations were obtained. The results show that with decreasing parameter accuracy in the system, the importance of the landslide inventory increases. When the peak ground acceleration is <i>a</i> = 0.3, which can be defined as a high hazard grade, in which the landslide area demonstrates a large-scale sharp increase, a devastating hazard threshold is reached. As the peak ground acceleration increases, the factor controlling landslides transforms from the landslide inventory to the slope, which reflects the reasonableness of the parameters in the system. The input parameters were regarded as important factors for efficiently increasing the accuracy of the results of the Newmark displacement model in the discussion. |
| format | Article |
| id | doaj-art-2d6a086f22b94fb1b96298b9145d4ede |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-2d6a086f22b94fb1b96298b9145d4ede2025-01-24T13:20:47ZengMDPI AGApplied Sciences2076-34172025-01-0115277710.3390/app15020777A Seismic Landslide Hazard Assessment in Small Areas Based on Multilevel Physical and Mechanical Parameters: A Case Study of the Upper Yangzi RiverYunxin Zhan0Zhi Song1Dan Li2Lian Xue3Tianju Huang4Chengdu Center, China Geological Survey (Geosciences Innovation Center of Southwest China), Chengdu 610218, ChinaChengdu Center, China Geological Survey (Geosciences Innovation Center of Southwest China), Chengdu 610218, ChinaChengdu Center, China Geological Survey (Geosciences Innovation Center of Southwest China), Chengdu 610218, ChinaChengdu Center, China Geological Survey (Geosciences Innovation Center of Southwest China), Chengdu 610218, ChinaChengdu Center, China Geological Survey (Geosciences Innovation Center of Southwest China), Chengdu 610218, ChinaMany landslides triggered by earthquakes have caused a countless loss of life and property, therefore, it is very important to predict landslide hazards accurately. In this work, regional seismic landslide data were obtained via a field survey, remote sensing interpretation, and data collection, and a multilevel physical and mechanical parameter system for seismic landslide hazard assessment was established; this system included a landslide inventory, loose accumulation layers, and geological units, enabling higher accuracy in the data. The Newmark displacement model with a modified correlation coefficient was used to assess the regional seismic landslide hazard in four scenarios (<i>a</i> = 0.1, 0.2, 0.3, 0.4) to study the influence of the landslide hazard at different peak ground accelerations. Moreover, the information value model was used to modify the calculated results to improve their accuracy in the assessment. By assessing the potential seismic landslide hazard in Shimian County in the upper reaches of the Yangtze River, the regional landslide distribution and pattern at different peak ground accelerations were obtained. The results show that with decreasing parameter accuracy in the system, the importance of the landslide inventory increases. When the peak ground acceleration is <i>a</i> = 0.3, which can be defined as a high hazard grade, in which the landslide area demonstrates a large-scale sharp increase, a devastating hazard threshold is reached. As the peak ground acceleration increases, the factor controlling landslides transforms from the landslide inventory to the slope, which reflects the reasonableness of the parameters in the system. The input parameters were regarded as important factors for efficiently increasing the accuracy of the results of the Newmark displacement model in the discussion.https://www.mdpi.com/2076-3417/15/2/777Newmark displacement modelseismic landsliderisk assessmentmechanical parameters |
| spellingShingle | Yunxin Zhan Zhi Song Dan Li Lian Xue Tianju Huang A Seismic Landslide Hazard Assessment in Small Areas Based on Multilevel Physical and Mechanical Parameters: A Case Study of the Upper Yangzi River Applied Sciences Newmark displacement model seismic landslide risk assessment mechanical parameters |
| title | A Seismic Landslide Hazard Assessment in Small Areas Based on Multilevel Physical and Mechanical Parameters: A Case Study of the Upper Yangzi River |
| title_full | A Seismic Landslide Hazard Assessment in Small Areas Based on Multilevel Physical and Mechanical Parameters: A Case Study of the Upper Yangzi River |
| title_fullStr | A Seismic Landslide Hazard Assessment in Small Areas Based on Multilevel Physical and Mechanical Parameters: A Case Study of the Upper Yangzi River |
| title_full_unstemmed | A Seismic Landslide Hazard Assessment in Small Areas Based on Multilevel Physical and Mechanical Parameters: A Case Study of the Upper Yangzi River |
| title_short | A Seismic Landslide Hazard Assessment in Small Areas Based on Multilevel Physical and Mechanical Parameters: A Case Study of the Upper Yangzi River |
| title_sort | seismic landslide hazard assessment in small areas based on multilevel physical and mechanical parameters a case study of the upper yangzi river |
| topic | Newmark displacement model seismic landslide risk assessment mechanical parameters |
| url | https://www.mdpi.com/2076-3417/15/2/777 |
| work_keys_str_mv | AT yunxinzhan aseismiclandslidehazardassessmentinsmallareasbasedonmultilevelphysicalandmechanicalparametersacasestudyoftheupperyangziriver AT zhisong aseismiclandslidehazardassessmentinsmallareasbasedonmultilevelphysicalandmechanicalparametersacasestudyoftheupperyangziriver AT danli aseismiclandslidehazardassessmentinsmallareasbasedonmultilevelphysicalandmechanicalparametersacasestudyoftheupperyangziriver AT lianxue aseismiclandslidehazardassessmentinsmallareasbasedonmultilevelphysicalandmechanicalparametersacasestudyoftheupperyangziriver AT tianjuhuang aseismiclandslidehazardassessmentinsmallareasbasedonmultilevelphysicalandmechanicalparametersacasestudyoftheupperyangziriver AT yunxinzhan seismiclandslidehazardassessmentinsmallareasbasedonmultilevelphysicalandmechanicalparametersacasestudyoftheupperyangziriver AT zhisong seismiclandslidehazardassessmentinsmallareasbasedonmultilevelphysicalandmechanicalparametersacasestudyoftheupperyangziriver AT danli seismiclandslidehazardassessmentinsmallareasbasedonmultilevelphysicalandmechanicalparametersacasestudyoftheupperyangziriver AT lianxue seismiclandslidehazardassessmentinsmallareasbasedonmultilevelphysicalandmechanicalparametersacasestudyoftheupperyangziriver AT tianjuhuang seismiclandslidehazardassessmentinsmallareasbasedonmultilevelphysicalandmechanicalparametersacasestudyoftheupperyangziriver |