Resilience-Based Anomaly Detection and Risk Assessment for Groundwater Systems During Tunnel Excavation

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Authors: Cheng-Gong Xiong, Le Yang
Cited by: 0
References: 58

Abstract

Tunnel construction disturbs groundwater systems, threatening water resource sustainability and ecological stability, while insufficient drainage can pose serious safety risks. Balancing safety with groundwater protection is therefore a critical challenge. Using the Huafu and Huayan tunnels as case studies, this research integrates field observations with MODFLOW simulations to develop a resilience indicator system. The system incorporates stability, recovery capacity, and critical thresholds to quantify groundwater responses to construction disturbances. A mechanism for detecting groundwater anomalies during tunneling is also proposed. Results show that extreme disturbances cause sharp declines in system performance, but subsequent recovery and resilience gains reflect self-organizing and self-healing properties of groundwater systems. This study demonstrates a resilience-based framework for evaluating tunnel impacts on groundwater. The findings provide early warning insights for water-related hazards and guidance for groundwater protection and restoration in tunnel engineering.

Fields of Study & Subjects

Groundwater flow and contamination studies Water resources management and optimization Geotechnical Engineering and Analysis

Publication details

Journal / source
Water
Volume
18
Issue
5
Pages
625–625
Publication date
5 March 2026
Language
EN