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

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.

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Publication Details

Journal
Water
Published
2026-03-05
DOI
https://doi.org/10.3390/w18050625
Primary Topic
Geotechnical Engineering and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Le Yang, Cheng-Gong Xiong
Water
Geotechnical Engineering and Analysis
article

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

Le Yang, Cheng-Gong Xiong
article en

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.

WaterVol. 18(5)
Chongqing University (CN), Yangtze Normal University (CN), Chongqing Jiaotong University (CN)
National College Students Innovation and Entrepreneurship Training Program
Openalex Percentile: Top 48%
Geotechnical Engineering and Analysis
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