地理空间信息2024，Vol.22Issue(3)：1-6,6.
应用时空复合趋势面Kriging方法插值地表沉降
Surface Settlement Interpolation Based on Composite Spatio-temporal Mean Trend Model Kriging Interpolation Method
摘要
Abstract
Deploying monitoring points can reflect surface settlement trend,which can ensure safety during construction and operation.However,the number of settlement monitoring points is limited and vulnerable to missing or contaminated data due to interference from construction,so the data in the monitoring area needs to be interpolated.We put forward a Kriging interpolation method based on composite spatio-temporal mean trend model to address the problem of low accuracy in estimating subway surface subsidence trends using traditional geostatistical interpola-tion methods.Taking a total of 15 weeks of subway surface subsidence observations from June 24 to September 3,2017 on Urumqi Metro Line 3 as experimental data,we used two methods to interpolate missing data for settlement monitoring points.The results show that compared with the traditional method,the Kriging interpolation method based on composite spatio-temporal mean trend model has higher fitting accuracy and the RMSE can be reduced by about 35%.关键词
沉降监测/时空复合趋势面/Kriging插值/时空插值Key words
subsidence monitoring/composite spatio-temporal mean trend model/Kriging interpolation/spatio-temporal interpolation分类
天文与地球科学引用本文复制引用
黄丙湖,李欣芮,范芷睿,潘海燕,廖一兰..应用时空复合趋势面Kriging方法插值地表沉降[J].地理空间信息,2024,22(3):1-6,6.基金项目
国家自然科学基金资助项目(42171419). （42171419）
