Geological hazard susceptibility evaluation based on CF and CF-LR model
The evaluation of regional geological disaster susceptibility is of great significance to the prevention and control of geological disasters. This paper takes Yanhe County in Guizhou Province as the research area, and considers 9 factors including altitude, slope, aspect, terrain curvature, NDVI, en...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of The Chinese Journal of Geological Hazard and Control
2022-04-01
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| Series: | Zhongguo dizhi zaihai yu fangzhi xuebao |
| Subjects: | |
| Online Access: | https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.2022.02-12 |
| _version_ | 1797865947313209344 |
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| author | Shuiyun TU Zhongyuan ZHANG Hongliu FU Shiguang XU Mingguo DENG Lichun HE Jinyu LIU |
| author_facet | Shuiyun TU Zhongyuan ZHANG Hongliu FU Shiguang XU Mingguo DENG Lichun HE Jinyu LIU |
| author_sort | Shuiyun TU |
| collection | DOAJ |
| description | The evaluation of regional geological disaster susceptibility is of great significance to the prevention and control of geological disasters. This paper takes Yanhe County in Guizhou Province as the research area, and considers 9 factors including altitude, slope, aspect, terrain curvature, NDVI, engineering geological rock formations, faults, roads, and water systems as evaluation factors. The CF model and the CF-LR model were used to evaluate the susceptibility of geological disasters in Yanhe County. The results show that the frequency ratio between the CF model and the CF-LR model of geological hazard susceptibility levels increases significantly from low-prone areas to extremely high-prone areas, which effectively evaluates the susceptibility of geological hazards in Yanhe County; the CF-LR model compares The AUC value of the CF model is increased by 0.096, and the CF-LR model has a higher evaluation accuracy. |
| first_indexed | 2024-04-09T23:16:19Z |
| format | Article |
| id | doaj.art-588e0dfe89464e17bb14061d0edcfd58 |
| institution | Directory Open Access Journal |
| issn | 1003-8035 |
| language | zho |
| last_indexed | 2024-04-09T23:16:19Z |
| publishDate | 2022-04-01 |
| publisher | Editorial Office of The Chinese Journal of Geological Hazard and Control |
| record_format | Article |
| series | Zhongguo dizhi zaihai yu fangzhi xuebao |
| spelling | doaj.art-588e0dfe89464e17bb14061d0edcfd582023-03-22T07:50:21ZzhoEditorial Office of The Chinese Journal of Geological Hazard and ControlZhongguo dizhi zaihai yu fangzhi xuebao1003-80352022-04-013329610410.16031/j.cnki.issn.1003-8035.2022.02-12202104037Geological hazard susceptibility evaluation based on CF and CF-LR modelShuiyun TU0Zhongyuan ZHANG1Hongliu FU2Shiguang XU3Mingguo DENG4Lichun HE5Jinyu LIU6Yunnan Geological and Mineral Engineering Exploration Group Company, Kunming, Yunnan 650000, ChinaYunnan Geological and Mineral Engineering Exploration Group Company, Kunming, Yunnan 650000, ChinaNatural Resources Bureau of Tongren City, Tongren , Guizhou 554300, ChinaYunnan Geological and Mineral Engineering Exploration Group Company, Kunming, Yunnan 650000, ChinaSchool of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650000, ChinaYunnan Geological and Mineral Engineering Exploration Group Company, Kunming, Yunnan 650000, ChinaYunnan Geological and Mineral Engineering Exploration Group Company, Kunming, Yunnan 650000, ChinaThe evaluation of regional geological disaster susceptibility is of great significance to the prevention and control of geological disasters. This paper takes Yanhe County in Guizhou Province as the research area, and considers 9 factors including altitude, slope, aspect, terrain curvature, NDVI, engineering geological rock formations, faults, roads, and water systems as evaluation factors. The CF model and the CF-LR model were used to evaluate the susceptibility of geological disasters in Yanhe County. The results show that the frequency ratio between the CF model and the CF-LR model of geological hazard susceptibility levels increases significantly from low-prone areas to extremely high-prone areas, which effectively evaluates the susceptibility of geological hazards in Yanhe County; the CF-LR model compares The AUC value of the CF model is increased by 0.096, and the CF-LR model has a higher evaluation accuracy.https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.2022.02-12giscertainty coefficientlogistic regressionsusceptibility to geological disastersyanhe county |
| spellingShingle | Shuiyun TU Zhongyuan ZHANG Hongliu FU Shiguang XU Mingguo DENG Lichun HE Jinyu LIU Geological hazard susceptibility evaluation based on CF and CF-LR model Zhongguo dizhi zaihai yu fangzhi xuebao gis certainty coefficient logistic regression susceptibility to geological disasters yanhe county |
| title | Geological hazard susceptibility evaluation based on CF and CF-LR model |
| title_full | Geological hazard susceptibility evaluation based on CF and CF-LR model |
| title_fullStr | Geological hazard susceptibility evaluation based on CF and CF-LR model |
| title_full_unstemmed | Geological hazard susceptibility evaluation based on CF and CF-LR model |
| title_short | Geological hazard susceptibility evaluation based on CF and CF-LR model |
| title_sort | geological hazard susceptibility evaluation based on cf and cf lr model |
| topic | gis certainty coefficient logistic regression susceptibility to geological disasters yanhe county |
| url | https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.2022.02-12 |
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