1.中国科学院水利部成都山地灾害与环境研究所,四川 成都 610041
2.武汉市汉阳市政建设集团有限公司,湖北武汉 430050
3.国家石油天然气管网集团有限公司华南分公司,广东 广州 510623
余文秀(1998—),女,硕士研究生。主要从事山地灾害风险评价与早期识别研究。E-mail:2414126023@qq.com
李秀珍(1975—),女,研究员,博导,博士。主要从事地质灾害评价及预测研究。E-mail:lxzljt@imde.ac.cn
收稿:2023-03-03,
修回:2023-06-05,
纸质出版:2024-06-25
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余文秀,李秀珍,郑玲静等.基于信息量⁃Scoops3D联合模型的地质灾害易发性评价[J].防灾减灾工程学报,2024,44(03):649-659.
YU Wenxiu,LI Xiuzhen,ZHENG Lingjing,et al.Evaluation of the Susceptibility to Geological Hazards Based on the Information⁃Scoops3D Joint Model[J].Journal of Disaster Prevention and Mitigation Engineering,2024,44(03):649-659.
余文秀,李秀珍,郑玲静等.基于信息量⁃Scoops3D联合模型的地质灾害易发性评价[J].防灾减灾工程学报,2024,44(03):649-659. DOI: 10.13409/j.cnki.jdpme.20230303003.
YU Wenxiu,LI Xiuzhen,ZHENG Lingjing,et al.Evaluation of the Susceptibility to Geological Hazards Based on the Information⁃Scoops3D Joint Model[J].Journal of Disaster Prevention and Mitigation Engineering,2024,44(03):649-659. DOI: 10.13409/j.cnki.jdpme.20230303003.
贵渝管道沿线地势险峻、构造活跃、雨量集中,崩滑流等地质灾害十分发育,科学开展管道沿线地质灾害的易发性评估工作对确保其安全运行至关重要。本研究在查明管道沿线自然地质环境及地质灾害分布的基础上,结合管道沿线地形地质特征、管道展布与斜坡体的相互空间位置关系划分了101段适合管道工程特点的评价单元,基于信息量数理统计模型与Scoops3D物理力学模型对管道沿线地质灾害的易发性进行了评价。评价结果表明管道沿线地质灾害的高易发区主要集中在遵义及桐梓县附近,其中7段处于极高易发区,26段处于高易发区,20段处于中易发区,30段处于低易发区, 18段处于极低易发区。通过ROC曲线分别求得信息量、Scoops3D以及二者联合模型的AUC值分别为 0.796、0.683和0.803,结果表明信息量⁃Scoops3D联合模型的评价准确性最高。
The terrain along the Guizhou-Chongqing Pipeline is rugged
the geological structure is active
and the rainfall is concentrated
leading to the development of geological hazards such as landslides and debris flows.. Scientific assessment of the susceptibility to geological hazards along the pipeline is crucial for ensuring operational safety. Based on the investigation of the natural geological environment and disaster distribution along the pipeline
this study divided the pipeline route into 101 evaluation units. These units were determined by considering the terrain
geological characteristics
spatial relationship between the pipeline and the slopes. The susceptibility to geological hazards along the pipeline was evaluated using an information value statistical model and the Scoops3D physical mechanics model. The results indicated high-risk areas of geological disasters were concentrated in the vicinity of Zunyi and Tongzi counties. Among the evaluated sections
7 were in extremely high-risk areas
26 in high-risk areas
20 in medium-risk areas
30 in low-risk areas
and 18 in the very low-risk areas. The AUC values of the information model
the Scoops3D model and their combined model
determined using ROC curves
were 0.796
0.683 and 0.803
respectively
indicating that the information-Scoops3D joint model had the highest evaluation accuracy.
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