Comprehensive assessment of geological hazard safety along railway engineering using a novel method: a case study of the Sichuan-Tibet railway, China

Comprehensive assessment of geological hazard safety along railway engineering using a novel method: a case study of the Sichuan-Tibet railway, China
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DOI:
10.1080/19475705.2019.1699606
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发表时间:
2020-01
期刊:
Geomatics, Natural Hazards and Risk
影响因子:
--
通讯作者:
Wei-dong Wang;Jiaying Li;Zheng Han
Wei-dong Wang;Jiaying Li;Zheng Han
中科院分区:
其他
文献类型:
--
作者:
Wei-dong Wang;Jiaying Li;Zheng Han

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摘要中国川藏铁路对西藏的长远发展具有深远意义。铁路的建设改变了所经地区的地貌形态,从而影响了地质灾害的危险性。尽管铁路建设的重要性,仍然是一个缺乏以往的研究涉及这一因素。本文在前人研究的基础上,提出了一种新的地质灾害评价指标体系,特别是考虑了铁路建设对地质灾害的影响。与区域评价不同的是,引入线元的概念,采用物元可拓模型、灰色关联模型和支持向量机对沿着STR地质灾害危险性进行综合评价。受试者工作特征曲线(ROC)分析表明,支持向量机模型的性能更好。结果进一步表明,在ROC测试中SVM的性能下降似乎伴随着没有建设因素。这一发现突出了建设在铁路地质灾害评估中的重要作用。
Abstract The Sichuan-Tibet Railway (STR) in China is of profound significance for Tibet's long-term development. Construction of railway reshapes the landscape it passes through and consequently influences the geological hazard risk. Despite the importance of railway construction, there remains a paucity of previous studies involving this factor. In this paper, we make a straightforward development on our previous study that a novel index system, notably considering the effect of railway construction is proposed for geological hazard assessment. Different from regional assessment, the concept of the line element is introduced, and the geological hazard risk along STR is comprehensively evaluated using matter-element extension model (MEEM), gray correlation model (GCM), and support vector machine (SVM). Receiver operating characteristic curve (ROC) analysis demonstrates that SVM performs better among the models. Results further indicate that a reduced performance of SVM in the ROC test appears to accompany with the absence of the construction factor. This finding highlights the essential role of construction in geological hazard assessment for the railway.