Research on the disaster bearing characteristics system and capacity depth disaster response curves in urban underground three dimensional spaces

The rapid development of urban underground space utilization, coupled with the increasing frequency of extreme precipitation events, has heightened the vulnerability of underground spaces to flood disasters, rendering flood prevention a critical challenge in underground infrastructure planning. While existing research predominantly focuses on pre-disaster early warning systems, in-disaster evacuation protocols, and post-disaster recovery strategies for underground flooding, systematic investigations into the disaster-bearing characteristics of underground spaces and the interrelationships among storage capacity, water depth, and disaster mechanisms remain notably deficient. To address these gaps, this study consolidates methods for identifying flood disaster-bearing characteristics in urban three-dimensional spatial contexts and establishes a comprehensive indicator system encompassing external flooding, underground waterlogging, and disaster-specific attributes. By defining the safe evacuation water depth at ground-level exits as a critical control threshold, we derive site-specific safe evacuation times and propose a methodology for constructing capacity-depth-disaster (C-D-D) curves to quantify flood resilience. These contributions provide a scientific foundation for abstracting representative underground space models, analyzing volume-dependent flood response mechanisms, and guiding integrated surface-underground disaster prevention planning at regional scales, thereby bridging theoretical research and practical decision-making in urban flood risk management.

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Publication Details

Journal
Scientific Reports
Published
2025-10-13
DOI
https://doi.org/10.1038/s41598-025-19649-5
Citations
1
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
1.11
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article

Research on the disaster bearing characteristics system and capacity depth disaster response curves in urban underground three dimensional spaces

Peng Liu, Tao Ma, Yan Wang, Hongwei Liu et al.
1 citations
Scientific Reports
Flood Risk Assessment and Management
1.11
article

Research on the disaster bearing characteristics system and capacity depth disaster response curves in urban underground three dimensional spaces

Peng Liu, Tao Ma, Yan Wang, Hongwei Liu, Jin Lin, Shaozhi Chu
article en
1 citations

Abstract

The rapid development of urban underground space utilization, coupled with the increasing frequency of extreme precipitation events, has heightened the vulnerability of underground spaces to flood disasters, rendering flood prevention a critical challenge in underground infrastructure planning. While existing research predominantly focuses on pre-disaster early warning systems, in-disaster evacuation protocols, and post-disaster recovery strategies for underground flooding, systematic investigations into the disaster-bearing characteristics of underground spaces and the interrelationships among storage capacity, water depth, and disaster mechanisms remain notably deficient. To address these gaps, this study consolidates methods for identifying flood disaster-bearing characteristics in urban three-dimensional spatial contexts and establishes a comprehensive indicator system encompassing external flooding, underground waterlogging, and disaster-specific attributes. By defining the safe evacuation water depth at ground-level exits as a critical control threshold, we derive site-specific safe evacuation times and propose a methodology for constructing capacity-depth-disaster (C-D-D) curves to quantify flood resilience. These contributions provide a scientific foundation for abstracting representative underground space models, analyzing volume-dependent flood response mechanisms, and guiding integrated surface-underground disaster prevention planning at regional scales, thereby bridging theoretical research and practical decision-making in urban flood risk management.

Scientific ReportsVol. 15(1)
Nanjing Hydraulic Research Institute (CN), State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering (CN)
Openalex Percentile: Top 19%
Flood Risk Assessment and Management
1.11
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