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作 者:亓星 修德皓[4] 程关文 陈婉琳 邢睿 李龙飞 傅烨 刘彦伶 QI Xing;XIU Dehao;CHENG Guanwen;CHEN Wanlin;XING Rui;LI Longfei;FU Ye;LIU Yanling(Sichuan University of Science and Engineering,Zigong 643000,Sichuan,China;Earthquake Early Warning Key Laboratory of Sichuan Province,Chengdu 610096,Sichuan,China;Geomathematics Key Laboratory of Sichuan Province,Chengdu 610059,Sichuan,China;State Key Laboratory of Geo-hazards Prevention and Geo-environment Protection,Chengdu University of Technology,Chengdu 610059,Sichuan,China;Chengdu Meihuan Technology Co.,Ltd.,Chengdu 610096,Sichuan,China)
机构地区:[1]四川轻化工大学土木工程学院,四川自贡643000 [2]地震预警四川省重点实验室,四川成都610096 [3]数学地质四川省重点实验室,四川成都610059 [4]成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川成都610059 [5]成都市美幻科技有限公司,四川成都610096
出 处:《水利水电技术(中英文)》2022年第7期129-138,共10页Water Resources and Hydropower Engineering
基 金:地震预警四川省重点实验室开放基金(2021KFKT0001);数学地质四川省重点实验室开放基金(scsxdz2021yb08);地质灾害防治与地质环境保护国家重点实验室开放基金(SKLGP2022K008)。
摘 要:基于变形监测数据构建的变形速率切线角模型是进行滑坡实时预警的重要参考,现有滑坡变形监测设备获取的位移数据都有一定的精度误差,导致直接计算出的变形速率有较大波动,需要进行数据实时过滤以满足预警需求。在分析了常见滑坡变形数据实时过滤方法特点的基础上,基于最小二乘法进行改进,并考虑前期变形数据的趋势影响,提出了改进后的数据实时过滤方法。通过对比最小二乘法和改进后的过滤方法发现,改进的数据实时过滤方法可以更有效地平滑滑坡变形速率波动,降低误差导致的切线角预警值波动幅度,减小预警误报。研究成果可以为后续滑坡变形数据的实时过滤提供新的技术方法。The tangent angle model of deformation rate based on deformation monitoring data is an important reference for real-time landslide early warning. The displacement data obtained by the existing landslide deformation monitoring equipment have certain accuracy errors, resulting in large fluctuations in the directly calculated deformation rate. Data real-time filtering is needed to meet the needs of early warning. This paper analyzes the characteristics of common landslide deformation data real-time filtering methods, improves them based on the least square method, and considers the trend influence of early deformation data, and puts forward the improved data real-time filtering method. By comparing the least square method and the improved filtering method, it is found that the improved data real-time filtering method can more effectively smooth the fluctuation of landslide deformation rate, reduce the fluctuation range of tangent angle early warning value caused by error, and reduce the early warning false alarm, which can provide a new technical method for the real-time filtering of subsequent landslide deformation data.
分 类 号:P642.2[天文地球—工程地质学]
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