基于统计学的地面沉降监测网优化设计

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关键词：地面沉降监测网;地质统计学理论;Kriging插值;优化设计;地质灾害；变异函数模型doi：10.13278/j.cnki.jjuese.20240256 中图分类号：P64；X43 文献标志码：A

Abstract： Ground subsidence， a slowly occurring and irreversible geological disaster，is an environmental geological problem which commonly occurs in the process of urbanization. In order to solve the problems of incomplete subsidence information obtained by the existing ground subsidence monitoring network and the lack of precision in monitoring urban ground subsidence， it needs to be optimized.In this paper，taking the ground subsidence monitoring network of Nanjing Yangtze River floodplain as an example， using the regionalized variable theory of geostatistics and the variational function theory，Kriging interpolation method is used to establish the variational function model for the ground subsidence monitoring network of the study area，and the standard deviation distribution characteristics of each monitoring network of the Yangtze River floodplain in Nanjing area are investigated for the optimization of the deployment. The results show that the ground subsidence monitoring networks in the study area has the problem of unreasonable distribution. After the optimization，34 redundant and marginal monitoring wells are eliminated and 16 new monitoring wells are added; 49 redundant and marginal level points are exempted and 2l new level points are added; 18 groups of stratified settlement monitoring network are eliminated and 13 groups of stratified settlement monitoring points are added. The improved monitoring well network can maximize the acquisition of monitoring data while meeting the accuracy requirements，and efficiently optimizes the arrangement of the settlement monitoring network，with reasonable results.

Key words： land subsidence monitoring network；geostatistics theory； Kriging interpolation; optimization design;geological hazard;variogram model

0 引言

地质统计学，亦称空间信息统计学[1-6]，是数学地质领域中一个发展迅速且具有广阔应用前景的学科。（剩余14423字）