A Dynamic Landslide Warning Model Based on Grey System Theory
Landslides are among the most frequent and destructive geological disasters, causing significant loss of life and property. Research on landslide prediction is crucial for minimizing disaster-related losses, ensuring public safety, and developing reliable early warning systems and preparedness strat...
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10858144/ |
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| author | Ke Ma He Weng Yumin Chen Saeed Sarajpoor Yang Shen |
| author_facet | Ke Ma He Weng Yumin Chen Saeed Sarajpoor Yang Shen |
| author_sort | Ke Ma |
| collection | DOAJ |
| description | Landslides are among the most frequent and destructive geological disasters, causing significant loss of life and property. Research on landslide prediction is crucial for minimizing disaster-related losses, ensuring public safety, and developing reliable early warning systems and preparedness strategies. Existing prediction technologies are broadly classified into mechanical modeling methods and mathematical modeling methods. Compared to mechanical modeling, mathematical modeling relies on data analysis, enabling the use of existing monitoring data without requiring detailed geological information. Among these, the grey model stands out for its high accuracy with minimal information requirements, as well as its simplicity and ease of implementation. Based on these advantages, grey model-based landslide prediction has emerged as a key research focus. This paper proposes a dynamic landslide warning model that integrates the concept of risk with grey system theory, using a small amount of real-time monitoring data. Experimental results demonstrate the model’s effectiveness in accurately predicting landslides and providing timely warnings for unstable slopes. |
| format | Article |
| id | doaj-art-91ae09dd92bf4b52bc96cab9d8a0d2ba |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-91ae09dd92bf4b52bc96cab9d8a0d2ba2025-02-07T00:01:23ZengIEEEIEEE Access2169-35362025-01-0113224072241910.1109/ACCESS.2025.353688810858144A Dynamic Landslide Warning Model Based on Grey System TheoryKe Ma0https://orcid.org/0000-0002-7086-3333He Weng1Yumin Chen2Saeed Sarajpoor3Yang Shen4School of Civil Engineering, Chongqing University, Chongqing, ChinaKey Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing, Jiangsu, ChinaSchool of Civil Engineering, Suzhou University of Science and Technology, Suzhou, Jiangsu, ChinaInstitute for Smart City of Chongqing University in Liyang, Chongqing University, Changzhou, Jiangsu, ChinaKey Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing, Jiangsu, ChinaLandslides are among the most frequent and destructive geological disasters, causing significant loss of life and property. Research on landslide prediction is crucial for minimizing disaster-related losses, ensuring public safety, and developing reliable early warning systems and preparedness strategies. Existing prediction technologies are broadly classified into mechanical modeling methods and mathematical modeling methods. Compared to mechanical modeling, mathematical modeling relies on data analysis, enabling the use of existing monitoring data without requiring detailed geological information. Among these, the grey model stands out for its high accuracy with minimal information requirements, as well as its simplicity and ease of implementation. Based on these advantages, grey model-based landslide prediction has emerged as a key research focus. This paper proposes a dynamic landslide warning model that integrates the concept of risk with grey system theory, using a small amount of real-time monitoring data. Experimental results demonstrate the model’s effectiveness in accurately predicting landslides and providing timely warnings for unstable slopes.https://ieeexplore.ieee.org/document/10858144/Grey modelsliding windowdynamic predictionlandslide warning model |
| spellingShingle | Ke Ma He Weng Yumin Chen Saeed Sarajpoor Yang Shen A Dynamic Landslide Warning Model Based on Grey System Theory IEEE Access Grey model sliding window dynamic prediction landslide warning model |
| title | A Dynamic Landslide Warning Model Based on Grey System Theory |
| title_full | A Dynamic Landslide Warning Model Based on Grey System Theory |
| title_fullStr | A Dynamic Landslide Warning Model Based on Grey System Theory |
| title_full_unstemmed | A Dynamic Landslide Warning Model Based on Grey System Theory |
| title_short | A Dynamic Landslide Warning Model Based on Grey System Theory |
| title_sort | dynamic landslide warning model based on grey system theory |
| topic | Grey model sliding window dynamic prediction landslide warning model |
| url | https://ieeexplore.ieee.org/document/10858144/ |
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