Stability analysis methods for settlement monitoring networks in coastal soft soil areas
滨海软土地区沉降监测网稳定性分析方法

摘要

滨海软土地区因地质结构特殊，沉降问题突出，对工程安全构成重大挑战。针对传统监测手段存在的时空分辨率不足与数据整合困难，提出基于多源数据融合的监测网络优化方案，并构建动态评估模型以实现稳定性判据设定。通过实测数据驱动的稳定性分析与系统验证，提升了对区域沉降行为的识别与预测能力。研究表明，融合多源观测与动态建模的方法可有效增强监测网络的稳定性和响应精度，为滨海软土地区的沉降控制与风险管理提供了可行的技术路径。

Abstract

Coastal soft soil areas are characterized by unique geological structures that make them highly susceptible to settlement, posing significant challenges to engineering safety. To address the limitations of traditional monitoring methods in terms of spatiotemporal resolution and data integration, an optimized monitoring network scheme based on multi-source data fusion was proposed, along with the development of a dynamic evaluation model for stability criteria setting. Through data-driven stability analysis and systematic validation, the ability to identify and predict regional settlement behavior was significantly enhanced. Research indicates that the integration of multi-source observations with dynamic modeling effectively improves the stability and response accuracy of monitoring networks, providing a feasible technical approach for settlement control and risk management in coastal soft soil areas.