Articles | Volume 20, issue 12
https://doi.org/10.5194/nhess-20-3343-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-3343-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Dec 2020
Research article |
| 10 Dec 2020
| 10 Dec 2020
Experimental assessment of the relationship between rainfall intensity and sinkholes caused by damaged sewer pipes
Tae-Young Kwak
Seismic Safety Research Center, Korea Institute of Civil Engineering
and Building Technology, Goyang-si, Gyeonggi-do 10223, South Korea
Sang-Inn Woo
Department of Architectural & Civil Engineering, Hannam University,
Daedeok-gu, Daejeon 34430, South Korea
Choong-Ki Chung
Department of Civil & Environmental Engineering, Seoul National
University, Gwanak-gu, Seoul 08826, South Korea
Joonyoung Kim
CORRESPONDING AUTHOR
Division of Smart Interdisciplinary Engineering, Hannam University,
Daedeok-gu, Daejeon 34430, South Korea
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Cited
17 citations as recorded by crossref.
- Research on the Failure Evolution and Characteristics of Road Collapse Caused by Underground Pipeline Leakage X. Li et al. 10.1061/JPCFEV.CFENG-4998
- Quality assessment of CIPP lining in sewers: Crucial knowledge acquired by IKT and research gaps identified in Germany B. Bosseler et al. 10.1016/j.tust.2023.105425
- Mapping sinkhole susceptibility in Mexico City using the weight of evidence method S. García-Cruzado et al. 10.1016/j.jsames.2025.105368
- Experimental and numerical investigation on internal erosion induced by infiltration of defective buried pipe Z. Wang et al. 10.1007/s10064-024-04073-2
- Distributed Fiber Optic Strain Sensing Technology for Monitoring Soil Deformation Induced by Leakage in Buried Water Pipelines: A Model Test Study L. Cheng et al. 10.3390/s25020320
- A non-Darcy flow CFD–DEM method for simulating ground collapse induced by leakage through underground pipeline defect X. Li et al. 10.1016/j.compgeo.2023.105695
- Degradation of concrete sewer pipes under coupling of corrosion and loads: I. experimental study P. Lin et al. 10.1016/j.conbuildmat.2025.141760
- Dynamics of soil erosion due to underground pipeline fractures: A transparent soil study under varied hydraulic conditions Y. Duan et al. 10.3233/JCM-247466
- Experimental and theoretical investigations of ground settlement around submerged defective pipelines B. Chen et al. 10.1016/j.trgeo.2024.101395
- Hybrid MLP-CNN-based ground sink susceptibility prediction in urban area using underground pipe map J. Park et al. 10.1016/j.ress.2024.110031
- Investigating the drivers of urban cover-collapse sinkholes in shanghai: analyzing dominant factors and proposing mitigation strategies B. Li et al. 10.1007/s44218-024-00051-z
- Smart detection of subsurface anomalies: Concept, validation and applications C. Zhang et al. 10.1016/j.tust.2024.106107
- Soil Erosion Due to Defective Pipes: A Hidden Hazard Beneath Our Feet P. Dastpak et al. 10.3390/su15118931
- Comparison of Machine Learning Techniques for Condition Assessment of Sewer Network L. Nguyen et al. 10.1109/ACCESS.2022.3222823
- Characteristics and mechanisms of water-sand gushing disaster in clay aquiclude-confined aquifer composite strata: An experimental study L. Li et al. 10.1016/j.enggeo.2025.108158
- Analyzing the impact of geosynthetic reinforcement on Sinkhole: A numerical investigation with Machine Learning approach Q. Abbas et al. 10.1016/j.engfailanal.2023.107915
- Recent gully erosion intensity in an agricultural landscape underlain by fluvioglacial sediments (NE Czechia) R. Tichavský et al. 10.1002/ldr.4684
17 citations as recorded by crossref.
- Research on the Failure Evolution and Characteristics of Road Collapse Caused by Underground Pipeline Leakage X. Li et al. 10.1061/JPCFEV.CFENG-4998
- Quality assessment of CIPP lining in sewers: Crucial knowledge acquired by IKT and research gaps identified in Germany B. Bosseler et al. 10.1016/j.tust.2023.105425
- Mapping sinkhole susceptibility in Mexico City using the weight of evidence method S. García-Cruzado et al. 10.1016/j.jsames.2025.105368
- Experimental and numerical investigation on internal erosion induced by infiltration of defective buried pipe Z. Wang et al. 10.1007/s10064-024-04073-2
- Distributed Fiber Optic Strain Sensing Technology for Monitoring Soil Deformation Induced by Leakage in Buried Water Pipelines: A Model Test Study L. Cheng et al. 10.3390/s25020320
- A non-Darcy flow CFD–DEM method for simulating ground collapse induced by leakage through underground pipeline defect X. Li et al. 10.1016/j.compgeo.2023.105695
- Degradation of concrete sewer pipes under coupling of corrosion and loads: I. experimental study P. Lin et al. 10.1016/j.conbuildmat.2025.141760
- Dynamics of soil erosion due to underground pipeline fractures: A transparent soil study under varied hydraulic conditions Y. Duan et al. 10.3233/JCM-247466
- Experimental and theoretical investigations of ground settlement around submerged defective pipelines B. Chen et al. 10.1016/j.trgeo.2024.101395
- Hybrid MLP-CNN-based ground sink susceptibility prediction in urban area using underground pipe map J. Park et al. 10.1016/j.ress.2024.110031
- Investigating the drivers of urban cover-collapse sinkholes in shanghai: analyzing dominant factors and proposing mitigation strategies B. Li et al. 10.1007/s44218-024-00051-z
- Smart detection of subsurface anomalies: Concept, validation and applications C. Zhang et al. 10.1016/j.tust.2024.106107
- Soil Erosion Due to Defective Pipes: A Hidden Hazard Beneath Our Feet P. Dastpak et al. 10.3390/su15118931
- Comparison of Machine Learning Techniques for Condition Assessment of Sewer Network L. Nguyen et al. 10.1109/ACCESS.2022.3222823
- Characteristics and mechanisms of water-sand gushing disaster in clay aquiclude-confined aquifer composite strata: An experimental study L. Li et al. 10.1016/j.enggeo.2025.108158
- Analyzing the impact of geosynthetic reinforcement on Sinkhole: A numerical investigation with Machine Learning approach Q. Abbas et al. 10.1016/j.engfailanal.2023.107915
- Recent gully erosion intensity in an agricultural landscape underlain by fluvioglacial sediments (NE Czechia) R. Tichavský et al. 10.1002/ldr.4684
Latest update: 17 Jun 2025
Short summary
In this study, model tests were used to analyze the effects of rainfall intensity on the formation of the eroded zone and the occurrence of sinkholes due to groundwater infiltration through pipe defects. The model tests were conducted to simulate the actual site conditions considering the soil used around sewer pipe networks and the sewer pipe landfill standards. The groundwater level was applied to the model tests by setting three hydraulic heads based on heavy-rainfall characteristics.
In this study, model tests were used to analyze the effects of rainfall intensity on the...
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