Effect of Seepage on Sand Levee Failure Due to Lateral Overtopping

被引:1
作者
Kang, Woochul [1 ]
Kim, Seongyun [2 ]
Jang, Eunkyung [3 ]
机构
[1] Kongju Natl Univ, Dept Smart Infrastructure Engn, Gongju 31080, South Korea
[2] Chonnam Natl Univ, Dept Environm Syst Engn, Yeosu 59626, South Korea
[3] Korea Inst Civil Engn & Bldg Technol, Dept Hydro Sci & Engn Res, Goyang 10285, South Korea
关键词
climate change; image analysis; levee failure; machine learning; overtopping; seepage; EROSION; BREACH; DAM;
D O I
10.3390/w16243617
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Recent increases in rainfall duration and intensity due to climate change have heightened the importance of levee stability. However, previous studies on levee failure, primarily caused by seepage and overtopping, have mostly examined these causes independently owing to their distinct characteristics. In this study, we conducted lateral overtopping failure experiments under seepage conditions that closely resembled those in experiments conducted in previous studies. Seepage was monitored using water pressure sensors and a distributed optical fiber cable that provided continuous heat for temperature monitoring in the levee. Tau he analysis of levee failure due to lateral overtopping, in the presence of seepage, was conducted using image analysis with digitization techniques and machine learning-based color segmentation techniques on the protected lowland side of the levee, targeting the same area. The results revealed that levee failure occurred more than twice as fast in experiments where seepage conditions were considered compared to the experiments where they were not. Thus, levees weakened by seepage are more vulnerable to overtopping and breaching. Consequently, employing a comprehensive approach that integrates various monitoring and analysis methods for assessing levee stability is preferable to relying on a single method alone.
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页数:12
相关论文
共 25 条
[1]   Towards Improved Field Application of Using Distributed Temperature Sensing for Soil Moisture Estimation: A Laboratory Experiment [J].
Apperl, Benjamin ;
Bernhardt, Matthias ;
Schulz, Karsten .
SENSORS, 2020, 20 (01)
[2]   Effectiveness of distributed temperature measurements for early detection of piping in river embankments [J].
Bersan, Silvia ;
Koelewijn, Andre R. ;
Simonini, Paolo .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2018, 22 (02) :1491-1508
[3]   Embankment dam breach and its outflow characteristics [J].
Chinnarasri, C ;
Jirakitlerd, S ;
Wongwises, S .
CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS, 2004, 21 (04) :247-264
[4]   An optical fiber-based monitoring system to study the seepage flow below the landside toe of a river levee [J].
Cola, Simonetta ;
Girardi, Veronica ;
Bersan, Silvia ;
Simonini, Paolo ;
Schenato, Luca ;
De Polo, Fabio .
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2021, 11 (03) :691-705
[5]  
Costa J., 1985, Open-File Report, DOI DOI 10.3133/OFR85560
[6]   Sediment transport model for seepage erosion of streambank sediment [J].
Fox, G. A. ;
Wilson, G. V. ;
Periketi, R. K. ;
Cullum, R. F. .
JOURNAL OF HYDROLOGIC ENGINEERING, 2006, 11 (06) :603-611
[7]   Analysis of Seepage in a Laboratory Scaled Model Using Passive Optical Fiber Distributed Temperature Sensor [J].
Ghafoori, Yaser ;
Macek, Matej ;
Vidmar, Andrej ;
Riha, Jaromir ;
Kryzanowski, Andrej .
WATER, 2020, 12 (02)
[8]  
Hanson GJ, 2005, T ASAE, V48, P1783, DOI 10.13031/2013.20012
[9]   Risk-based planning analysis for a single levee [J].
Hui, Rui ;
Jachens, Elizabeth ;
Lund, Jay .
WATER RESOURCES RESEARCH, 2016, 52 (04) :2513-2528
[10]   Effect of repeated rise and fall of water level on seepage-induced deformation and related stability analysis of Princeville levee [J].
Jadid, Rowshon ;
Montoya, Brina M. ;
Bennett, Victoria ;
Gabr, Mohammed A. .
ENGINEERING GEOLOGY, 2020, 266