A study of the stability evaluation method of rainfall-induced shallow loess landslides based on the Maxent-Sinmap slope model
To address the problem of low evaluation accuracy of the Sinmap model in evaluating the stability of shallow loess landslides under the action of rainfall, a method based on the Maxent-Sinmap model is constructed to evaluate the stability of regional shallow rainfall loess landslides under the actio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Hydrogeology & Engineering Geology
2023-09-01
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| Series: | Shuiwen dizhi gongcheng dizhi |
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| Online Access: | https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202207050 |
| _version_ | 1797659765573156864 |
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| author | Fan LIU Yahong DENG Huandong MU Faqiao QIAN |
| author_facet | Fan LIU Yahong DENG Huandong MU Faqiao QIAN |
| author_sort | Fan LIU |
| collection | DOAJ |
| description | To address the problem of low evaluation accuracy of the Sinmap model in evaluating the stability of shallow loess landslides under the action of rainfall, a method based on the Maxent-Sinmap model is constructed to evaluate the stability of regional shallow rainfall loess landslides under the action of rainfall by improving the evaluation of the Sinmap model based on the maximum entropy model.Taking Zhidan County, Shaanxi Province, a high-incidence area of loess landslides, as an example, the relevant data of topography, geotechnical parameters and geological disasters were obtained by field and indoor work. The main environmental variables were obtained by Maxent model, and then the main environmental variables were partitioned. The Sinmap model was used to evaluate the stability of shallow loess landslides in different partitions under rainfall. The results show that based on the Maxent model, the landslide in Zhidan County is mainly affected by five indicators, such as slope, rainfall, landform, road buffer zone and normalized vegetation coverage index. The contribution rates to historical disaster points are 27.1 %, 20.3 %, 18.8 %, 18.7 % and 6.2 %, respectively. Compared with the traditional Sinmap model, the density of disaster points in the unstable area of the model increased by 17.26 %, 16.54 %, 17.39 %, 14.20 % and 12.96 % respectively under the conditions of light rainfall, moderate rainfall, heavy rainfall, rainstorm and downpour. The results of the Maxent-Sinmap model have a larger stable area than those of the Sinmap model, and there is no historical disaster distribution in the expanded area of the stable area. The model has higher accuracy and more reliable results, which can provide a better scientific basis for the evaluation of regional shallow rainfall landslides. |
| first_indexed | 2024-03-11T18:19:54Z |
| format | Article |
| id | doaj.art-3377fc7f801547fba3e73884aa992a35 |
| institution | Directory Open Access Journal |
| issn | 1000-3665 |
| language | zho |
| last_indexed | 2024-03-11T18:19:54Z |
| publishDate | 2023-09-01 |
| publisher | Editorial Office of Hydrogeology & Engineering Geology |
| record_format | Article |
| series | Shuiwen dizhi gongcheng dizhi |
| spelling | doaj.art-3377fc7f801547fba3e73884aa992a352023-10-16T01:16:38ZzhoEditorial Office of Hydrogeology & Engineering GeologyShuiwen dizhi gongcheng dizhi1000-36652023-09-0150514615810.16030/j.cnki.issn.1000-3665.202207050202207050A study of the stability evaluation method of rainfall-induced shallow loess landslides based on the Maxent-Sinmap slope modelFan LIU0Yahong DENG1Huandong MU2Faqiao QIAN3College of Geology Engineering and Geomatics, Chang’an University, Xi’an, Shaanxi 710054, ChinaCollege of Geology Engineering and Geomatics, Chang’an University, Xi’an, Shaanxi 710054, ChinaInstitute of Geotechnical Engineering, Xi’an University of Technology, Xi’an, Shaanxi 710048, ChinaCollege of Geology Engineering and Geomatics, Chang’an University, Xi’an, Shaanxi 710054, ChinaTo address the problem of low evaluation accuracy of the Sinmap model in evaluating the stability of shallow loess landslides under the action of rainfall, a method based on the Maxent-Sinmap model is constructed to evaluate the stability of regional shallow rainfall loess landslides under the action of rainfall by improving the evaluation of the Sinmap model based on the maximum entropy model.Taking Zhidan County, Shaanxi Province, a high-incidence area of loess landslides, as an example, the relevant data of topography, geotechnical parameters and geological disasters were obtained by field and indoor work. The main environmental variables were obtained by Maxent model, and then the main environmental variables were partitioned. The Sinmap model was used to evaluate the stability of shallow loess landslides in different partitions under rainfall. The results show that based on the Maxent model, the landslide in Zhidan County is mainly affected by five indicators, such as slope, rainfall, landform, road buffer zone and normalized vegetation coverage index. The contribution rates to historical disaster points are 27.1 %, 20.3 %, 18.8 %, 18.7 % and 6.2 %, respectively. Compared with the traditional Sinmap model, the density of disaster points in the unstable area of the model increased by 17.26 %, 16.54 %, 17.39 %, 14.20 % and 12.96 % respectively under the conditions of light rainfall, moderate rainfall, heavy rainfall, rainstorm and downpour. The results of the Maxent-Sinmap model have a larger stable area than those of the Sinmap model, and there is no historical disaster distribution in the expanded area of the stable area. The model has higher accuracy and more reliable results, which can provide a better scientific basis for the evaluation of regional shallow rainfall landslides.https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202207050maxent-sinmaprainfallregionalshallow loess landslidestability evaluation |
| spellingShingle | Fan LIU Yahong DENG Huandong MU Faqiao QIAN A study of the stability evaluation method of rainfall-induced shallow loess landslides based on the Maxent-Sinmap slope model Shuiwen dizhi gongcheng dizhi maxent-sinmap rainfall regional shallow loess landslide stability evaluation |
| title | A study of the stability evaluation method of rainfall-induced shallow loess landslides based on the Maxent-Sinmap slope model |
| title_full | A study of the stability evaluation method of rainfall-induced shallow loess landslides based on the Maxent-Sinmap slope model |
| title_fullStr | A study of the stability evaluation method of rainfall-induced shallow loess landslides based on the Maxent-Sinmap slope model |
| title_full_unstemmed | A study of the stability evaluation method of rainfall-induced shallow loess landslides based on the Maxent-Sinmap slope model |
| title_short | A study of the stability evaluation method of rainfall-induced shallow loess landslides based on the Maxent-Sinmap slope model |
| title_sort | study of the stability evaluation method of rainfall induced shallow loess landslides based on the maxent sinmap slope model |
| topic | maxent-sinmap rainfall regional shallow loess landslide stability evaluation |
| url | https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202207050 |
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