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基于岩性分类综合数据集的新建监测坡面位移预测

田原 张建学 赵文祎 程楚云 邓杨兰朵 马睿平 黄儒豪

北京大学学报(自然科学版)2025,Vol.61Issue(4):709-718,10.
北京大学学报(自然科学版)2025,Vol.61Issue(4):709-718,10.DOI:10.13209/j.0479-8023.2025.019

基于岩性分类综合数据集的新建监测坡面位移预测

Displacement Prediction of Newly-Established Monitoring Slopes Based on Lithology-Classified Integrated Dataset

田原 1张建学 1赵文祎 2程楚云 1邓杨兰朵 1马睿平 1黄儒豪1

作者信息

  • 1. 北京大学遥感与地理信息系统研究所,北京 100871||空间信息集成与 3S工程应用北京市重点实验室,北京 100871
  • 2. 中国地质环境监测院,北京 100081||自然资源部地质灾害智能监测与风险预警工程技术创新中心,北京 100081||中国地质大学(北京)信息工程学院,北京 100083
  • 折叠

摘要

Abstract

Limited monitoring data of newly-established monitoring slopes in universal landslide monitoring projects and their unavoidable poor representation ability of the deformation patterns have made the traditional single-slope modelling impossible.This paper proposes to classify the multi-slope integrated monitoring dataset based on the lithology of slopes and thus construct pre-trained models to apply to the newly-established monitoring slopes to improve the prediction performance.By integrating the monitoring data,the pre-train models can learn more deformation characteristics from the dataset than from only single-slope data.Moreover,by further classifying the integrated dataset based on the lithology of slopes,constructing different pre-training models,and applying them to newly-established slopes with corresponding lithology,it is feasible to enhance the classified dataset's ability to represent the deformation patterns of corresponding kind of slopes while still ensuring the volume of dataset of each class is reasonable and,ultimately,to improve the pre-trained models by enhancing the consistency of the pre-training data and target domain data.A case study based on actual monitoring data shows that the pre-training models based on lithology-classified dataset perform overall significantly better on newly-established monitoring slopes with corresponding lithology than single-slope models or pre-training models based on other integrated dataset and may provide effective support for displacement prediction of newly-established monitoring slopes.

关键词

滑坡/短期位移预测/岩性分类综合数据集/预训练模型/新建坡面/普适型滑坡监测

Key words

landslide/short-time displacement prediction/lithology-classified integrated dataset/pre-training model/newly-established monitoring slope/universal landslide monitoring

引用本文复制引用

田原,张建学,赵文祎,程楚云,邓杨兰朵,马睿平,黄儒豪..基于岩性分类综合数据集的新建监测坡面位移预测[J].北京大学学报(自然科学版),2025,61(4):709-718,10.

基金项目

中国地质调查局地质调查项目(DD20230085)资助 (DD20230085)

北京大学学报(自然科学版)

OA北大核心

0479-8023

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