Geological disaster risk assessment based on ecological niche model: A case study of Longhui County, Shaoyang City
Geological disaster risk assessment is crucial for the prevention and control of geological disasters. This study focuses on the significant number of geological disasters induced by urbanization construction in Longhui County, aiming to propose effective preventive and control measures. The study c...
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| Format: | Article |
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Editorial Office of Hydrogeology & Engineering Geology
2025-01-01
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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.1000-3665.202308054 |
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| author | Yun ZHANG Feng ZI Jiehua GUO Yunjiang CAO Jiuling DUAN Zhigang GUO Long TANG |
| author_facet | Yun ZHANG Feng ZI Jiehua GUO Yunjiang CAO Jiuling DUAN Zhigang GUO Long TANG |
| author_sort | Yun ZHANG |
| collection | DOAJ |
| description | Geological disaster risk assessment is crucial for the prevention and control of geological disasters. This study focuses on the significant number of geological disasters induced by urbanization construction in Longhui County, aiming to propose effective preventive and control measures. The study considered various disaster-inducing factors and selected 13 assessment criteria from topography and geomorphology, geological structure, engineering geology of geotechnical bodies, and human engineering activities. The MaxEnt model is employed to establish the geological disaster hazard assessment model, while 7 assessment factors are selected from population distribution, economic background, environmental resources development, disaster prevention, and mitigation capacity. The systematic cluster analysis model was then utilized to establish a geological disaster vulnerability assessment model. The results of both assessments were integrated to construct a comprehensive geological disaster risk assessment model for the region, classifying areas into extremely low risk, low risk, medium risk, high risk, and extremely high risk. The result show that the AUC value of the MaxEnt model in the hazard assessment is 0.918, indicating its strong applicability in predicting the geological disaster hazard risk in the study area. Steep canyon, average annual rainfall, slope, and geotechnical construction are identified as the main factors influencing the development of geological disasters in the study area. The area classified as extremely high to high risk covers is 194.70 km², accounting for 6.80% of the total area. Under existing disaster reduction capacity, the area with extremely high to high risk has been reduced by 30.38%, reflecting a positive impact on disaster reduction. This study introduces a novel method for the risk assessment of geological disasters in Longhui County and provides a theoretical basis for the government’s risk management strategy. |
| format | Article |
| id | doaj-art-16d511d4d35b439786db3678bf2e49c6 |
| institution | Kabale University |
| issn | 1000-3665 |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | Editorial Office of Hydrogeology & Engineering Geology |
| record_format | Article |
| series | Shuiwen dizhi gongcheng dizhi |
| spelling | doaj-art-16d511d4d35b439786db3678bf2e49c62025-01-18T03:52:24ZzhoEditorial Office of Hydrogeology & Engineering GeologyShuiwen dizhi gongcheng dizhi1000-36652025-01-0152119020110.16030/j.cnki.issn.1000-3665.202308054202308054Geological disaster risk assessment based on ecological niche model: A case study of Longhui County, Shaoyang CityYun ZHANG0Feng ZI1Jiehua GUO2Yunjiang CAO3Jiuling DUAN4Zhigang GUO5Long TANG6School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, ChinaSchool of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, ChinaHunan Province Nature Resources Investigation Institute, Changsha, Hunan 410007, ChinaSchool of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, ChinaHunan Province Nature Resources Investigation Institute, Changsha, Hunan 410007, ChinaHunan Province Nature Resources Investigation Institute, Changsha, Hunan 410007, ChinaSchool of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, ChinaGeological disaster risk assessment is crucial for the prevention and control of geological disasters. This study focuses on the significant number of geological disasters induced by urbanization construction in Longhui County, aiming to propose effective preventive and control measures. The study considered various disaster-inducing factors and selected 13 assessment criteria from topography and geomorphology, geological structure, engineering geology of geotechnical bodies, and human engineering activities. The MaxEnt model is employed to establish the geological disaster hazard assessment model, while 7 assessment factors are selected from population distribution, economic background, environmental resources development, disaster prevention, and mitigation capacity. The systematic cluster analysis model was then utilized to establish a geological disaster vulnerability assessment model. The results of both assessments were integrated to construct a comprehensive geological disaster risk assessment model for the region, classifying areas into extremely low risk, low risk, medium risk, high risk, and extremely high risk. The result show that the AUC value of the MaxEnt model in the hazard assessment is 0.918, indicating its strong applicability in predicting the geological disaster hazard risk in the study area. Steep canyon, average annual rainfall, slope, and geotechnical construction are identified as the main factors influencing the development of geological disasters in the study area. The area classified as extremely high to high risk covers is 194.70 km², accounting for 6.80% of the total area. Under existing disaster reduction capacity, the area with extremely high to high risk has been reduced by 30.38%, reflecting a positive impact on disaster reduction. This study introduces a novel method for the risk assessment of geological disasters in Longhui County and provides a theoretical basis for the government’s risk management strategy.https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202308054geological disastersmaxent modelsystematic cluster analysis modelhazardvulnerabilityrisk assessment |
| spellingShingle | Yun ZHANG Feng ZI Jiehua GUO Yunjiang CAO Jiuling DUAN Zhigang GUO Long TANG Geological disaster risk assessment based on ecological niche model: A case study of Longhui County, Shaoyang City Shuiwen dizhi gongcheng dizhi geological disasters maxent model systematic cluster analysis model hazard vulnerability risk assessment |
| title | Geological disaster risk assessment based on ecological niche model: A case study of Longhui County, Shaoyang City |
| title_full | Geological disaster risk assessment based on ecological niche model: A case study of Longhui County, Shaoyang City |
| title_fullStr | Geological disaster risk assessment based on ecological niche model: A case study of Longhui County, Shaoyang City |
| title_full_unstemmed | Geological disaster risk assessment based on ecological niche model: A case study of Longhui County, Shaoyang City |
| title_short | Geological disaster risk assessment based on ecological niche model: A case study of Longhui County, Shaoyang City |
| title_sort | geological disaster risk assessment based on ecological niche model a case study of longhui county shaoyang city |
| topic | geological disasters maxent model systematic cluster analysis model hazard vulnerability risk assessment |
| url | https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202308054 |
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