A quantitative enhanced assessment for ancient landslide reactivation risk considering cross-time scale joint response mechanism
Ancient landslide has strong concealment and disturbance sensitivity due to its special geotechnical mechanical characteristics, and it is the potential hazard that cannot be ignored in human activities and major engineering planning. The quantitative assessment of ancient landslide reactivation ris...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.974442/full |
| _version_ | 1797961128385445888 |
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| author | Zixi Yang Tingchen Wu Chao E Chao E Xiao Xie Xiao Xie Leiqi Tan Leiqi Tan Leiqi Tan Xinxi Jiang |
| author_facet | Zixi Yang Tingchen Wu Chao E Chao E Xiao Xie Xiao Xie Leiqi Tan Leiqi Tan Leiqi Tan Xinxi Jiang |
| author_sort | Zixi Yang |
| collection | DOAJ |
| description | Ancient landslide has strong concealment and disturbance sensitivity due to its special geotechnical mechanical characteristics, and it is the potential hazard that cannot be ignored in human activities and major engineering planning. The quantitative assessment of ancient landslide reactivation risk has become more necessary for pre-disaster scientific warning. However, because the mechanisms of deformation and damage during the evolution of ancient landslides are quite complex, traditional landslide risk assessment methods only select the single-time scale and relatively stable environmental factors for analysis, lacking consideration of dynamic triggering factors such as rainfall. Focusing on the complexity, a quantitative enhanced assessment for ancient landslide reactivation risk considering cross-time scale joint response mechanism is proposed. First, on the basis of systematic analysis of the implicit genesis mechanism and explicit characterization, an evaluation system of the cross-time scale joint characteristics of ancient landslide reactivation is constructed. Then, XGBoost algorithm and SBAS-InSAR are used to establish the long-time scale developmental evolution mechanism model and the short-time scale dynamical trigger model, respectively. Subsequently, we propose a cross-time scale joint response mechanism. The information entropy weight method is applied to calculate the contribution degree of long-short time scale assessment models for ancient landslide reactivation based on the constraints of quantitative interval thresholds, and the assessment processes of different time scales are dynamically and quantitatively correlated. Finally, the updated optimization of the assessment of ancient landslide reactivation risk is achieved. In this research, experimental analysis was carried out for ancient landslide groups in a geological hazard-prone area in Fengjie County, Chongqing, a typical mountainous region of China. The results of the comparative analysis validate the superiority of the method in this paper. It helps to accurately assess the ancient landslide potential hazard in advance, providing scientific basis and technical support for the risk assessment of mountainous watershed geological hazards and major engineering projects. |
| first_indexed | 2024-04-11T00:55:35Z |
| format | Article |
| id | doaj.art-8af6382d76a34dad9493c292c3bde838 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-04-11T00:55:35Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-8af6382d76a34dad9493c292c3bde8382023-01-05T06:18:33ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-01-011010.3389/feart.2022.974442974442A quantitative enhanced assessment for ancient landslide reactivation risk considering cross-time scale joint response mechanismZixi Yang0Tingchen Wu1Chao E2Chao E3Xiao Xie4Xiao Xie5Leiqi Tan6Leiqi Tan7Leiqi Tan8Xinxi Jiang9Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaKey Lab for Environmental Computation and Sustainability of Liaoning Province, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, ChinaKey Lab for Environmental Computation and Sustainability of Liaoning Province, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, ChinaWeifang Institute of Modern Agriculture and Ecological Environment, Weifang, ChinaKey Lab for Environmental Computation and Sustainability of Liaoning Province, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, ChinaWeifang Institute of Modern Agriculture and Ecological Environment, Weifang, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, ChinaNational-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou, ChinaGansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, ChinaJiangshan Weiye Surveying and Mapping Co., Ltd., Jiangshan, ChinaAncient landslide has strong concealment and disturbance sensitivity due to its special geotechnical mechanical characteristics, and it is the potential hazard that cannot be ignored in human activities and major engineering planning. The quantitative assessment of ancient landslide reactivation risk has become more necessary for pre-disaster scientific warning. However, because the mechanisms of deformation and damage during the evolution of ancient landslides are quite complex, traditional landslide risk assessment methods only select the single-time scale and relatively stable environmental factors for analysis, lacking consideration of dynamic triggering factors such as rainfall. Focusing on the complexity, a quantitative enhanced assessment for ancient landslide reactivation risk considering cross-time scale joint response mechanism is proposed. First, on the basis of systematic analysis of the implicit genesis mechanism and explicit characterization, an evaluation system of the cross-time scale joint characteristics of ancient landslide reactivation is constructed. Then, XGBoost algorithm and SBAS-InSAR are used to establish the long-time scale developmental evolution mechanism model and the short-time scale dynamical trigger model, respectively. Subsequently, we propose a cross-time scale joint response mechanism. The information entropy weight method is applied to calculate the contribution degree of long-short time scale assessment models for ancient landslide reactivation based on the constraints of quantitative interval thresholds, and the assessment processes of different time scales are dynamically and quantitatively correlated. Finally, the updated optimization of the assessment of ancient landslide reactivation risk is achieved. In this research, experimental analysis was carried out for ancient landslide groups in a geological hazard-prone area in Fengjie County, Chongqing, a typical mountainous region of China. The results of the comparative analysis validate the superiority of the method in this paper. It helps to accurately assess the ancient landslide potential hazard in advance, providing scientific basis and technical support for the risk assessment of mountainous watershed geological hazards and major engineering projects.https://www.frontiersin.org/articles/10.3389/feart.2022.974442/fullancient landslidereactivation riskquantitative assessmentcross-time scale joint response mechanismSBAS-InSARChina |
| spellingShingle | Zixi Yang Tingchen Wu Chao E Chao E Xiao Xie Xiao Xie Leiqi Tan Leiqi Tan Leiqi Tan Xinxi Jiang A quantitative enhanced assessment for ancient landslide reactivation risk considering cross-time scale joint response mechanism Frontiers in Earth Science ancient landslide reactivation risk quantitative assessment cross-time scale joint response mechanism SBAS-InSAR China |
| title | A quantitative enhanced assessment for ancient landslide reactivation risk considering cross-time scale joint response mechanism |
| title_full | A quantitative enhanced assessment for ancient landslide reactivation risk considering cross-time scale joint response mechanism |
| title_fullStr | A quantitative enhanced assessment for ancient landslide reactivation risk considering cross-time scale joint response mechanism |
| title_full_unstemmed | A quantitative enhanced assessment for ancient landslide reactivation risk considering cross-time scale joint response mechanism |
| title_short | A quantitative enhanced assessment for ancient landslide reactivation risk considering cross-time scale joint response mechanism |
| title_sort | quantitative enhanced assessment for ancient landslide reactivation risk considering cross time scale joint response mechanism |
| topic | ancient landslide reactivation risk quantitative assessment cross-time scale joint response mechanism SBAS-InSAR China |
| url | https://www.frontiersin.org/articles/10.3389/feart.2022.974442/full |
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