安全与环境工程2024，Vol.31Issue(6)：152-160,9.DOI:10.13578/j.cnki.issn.1671-1556.20230931
基于SBAS-InSAR技术与致灾强度反演的盐湖地区输电杆塔地面沉降易损性定量评价
Quantitative assessment of land subsidence vulnerability of transmission tower in salt lake area based on SBAS-InSAR technique and disaster-causing intensity
摘要
Abstract
Given the frequent occurrences of land subsidence disasters in the salt lake area,along with the inherent difficulties in quantitatively assessing the vulnerability of transmission towers,this study addresses the problem by introducing an empirical model based on small baseline integrated aperture radar interferometry(SBAS-InSAR)technology to assess the land subsidence-induced disaster intensity of transmission lines.The model first used SBAS-InSAR technology to interpret land deformation along the line,and carried out on-site investigation of the vulnerability of transmission line towers.Then,it combined the particle swarm optimization and fuzzy analytic hierachycal process(PSO-Fuzzy AHP)to evaluate the disaster resistance capacity of land subsidence for the towers.And finally a model was established for the impact of land deformation on the towers,forming a vulnerability analysis method for land subsidence of transmission towers,conducting quantitative assessment and verification of vulnerability for land subsidence of the towers.The results show that the empirical formula for disaster intensity effectively quantifies the vulnerability of tower land subsidence,and the vulnerability calculation results based on the disaster intensity curve Ipm=0.1Dtot0.306 closely align with the actual tower deformation and damage.The proposed quantitative assessment method of vulnerability for transmission tower lines can serve as a reference for the subsequent governance and maintenance of towers.关键词
输电杆塔/地面沉降/SBAS-InSAR/致灾强度/易损性/盐湖地区Key words
transmission tower/land subsidence/SBAS-InSAR/disaster-causing intensity/vulnerability/salt lake area分类
资源环境引用本文复制引用
金必晶,张永胜,孙德志,曾韬睿,王生杰,桂蕾,殷坤龙,赵斌滨,刘毅,郭宝瑞,王晓峰..基于SBAS-InSAR技术与致灾强度反演的盐湖地区输电杆塔地面沉降易损性定量评价[J].安全与环境工程,2024,31(6):152-160,9.基金项目
国家电网公司总部管理科技项目(52280721000A) （52280721000A）
