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Poster P-3-5-27: Spatio-temporal deformation prediction of diversion tunnel based on machine learning multivariate data fusion

XVIII IWRA World Water Congress Beijing China 2023
Sub-theme 3: Building Resilience for Disaster Prevention and Mitigation
Author(s): Zenghui Bi
Zenghui Bi - Yunnan institute of water and hydropower engineering investigation design and research
Poster: PDF

Abstract

Objectives of the study

In the traditional deformation analysis and prediction of monitoring data, the geometric analysis method is used to construct the relationship model The accuracy of short term prediction is acceptable, while the accuracy of long term prediction is greatly reduced However, the safety problems mostly occur in the rainy season, so the long term prediction of deformation prediction is very important Therefore, it is necessary to find a model with better long term prediction accuracy

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