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作 者:郭俊辉[1] 李侠 叶晨男 徐子涵 赵禹[1] 于洋[2] Guo Junhui;Li Xia;Ye Chennan;Xu Zihan;Zhao Yu;Yu Yang(Taizhou Hongyuan Electric Power Design Institute Co.,Ltd.,Taizhou Zhejiang 318000,China;Ocean College,Zhejiang University,Zhoushan Zhejiang 316000,China)
机构地区:[1]台州宏远电力设计院有限公司,浙江台州318000 [2]浙江大学海洋学院,浙江舟山316000
出 处:《山西建筑》2023年第20期58-62,共5页Shanxi Architecture
基 金:浙江省自然科学基金(LY21D020001)。
摘 要:输电线路是保障社会经济发展的能源动脉,开展山区输电线路区域多因素滑坡易发性评价,对线路安全和社会经济发展具有重要意义。而多因素易发性评价常采用基于经验或区域间差别较大的权重值开展,易发性评价结果的准确性有待提升,获取适用于研究区域的因素权重是解决问题的关键。以台州市1314座输电塔为例,基于地形地貌和气候条件相似的研究区域滑坡统计数据,采用随机模拟和遗传算法,建立了多因素权重优化方法并获得了最优权重组合,并通过ROC曲线验证了权重组合及易发性分析结果的可靠性。将优化权重值应用于台州地区滑坡易发性评价,并探讨输电线路受滑坡灾害的影响程度。研究结果表明,台州地区输电线路所在区域的滑坡易发性风险较低,位于较不稳定、不稳定和非常不稳定区域的输电塔杆数量仅占输电塔杆总数的8.90%。Transmission line is the energy artery to ensure social and economic development.It is of great significance for line safety and social and economic development to evaluate the multi-factor landslides susceptibility in mountain areas.However,multi-factor susceptibility evaluation is often carried out based on experience or large differences between regions,and the accuracy of susceptibility evaluation needs to be improved.Obtaining the factor weight applicable to the study area is the key to solve the problem.In this study,taking 1314 transmission towers in Taizhou as an example,based on the landslide statistical data of similar topography and climate,a multi-factor weight optimization method is established and the optimal weight combination is obtained by using stochastic simulation and genetic algorithm,the reliability of weight combination and susceptibility analysis results is verified by ROC curve.The optimized weight is applied to the susceptibility assessment of landslides in Taizhou area,and the degree to which transmission lines are affected by landslide disasters is discussed.The evaluation results show that the risk of landslide susceptibility in the area where the transmission project is located is low,and the transmission towers located in relatively unstable,unstable and highly unstable areas only account for 8.90%of the total number of transmission towers.
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