Enhancing flood wave modelling of reservoir failure: a comparative study of structure-from-motion based 2D and 3D methodologies

被引:1
作者
Lee, Jong-hyuk [1 ]
Lee, Sang-ik [2 ]
Jeong, Youngjoon [3 ]
Seo, Byung-hun [4 ]
Kim, Dong-su [4 ]
Seo, Ye-jin [4 ]
Her, Younggu [5 ]
Choi, Won [6 ]
机构
[1] Seoul Natl Univ, Res Inst Agr & Life Sci, Coll Agr & Life Sci Integrated Major Global Smart, Dept Rural Syst Engn, 1 Gwanak Ro, Seoul 08826, South Korea
[2] Kyungpook Natl Univ, Coll Agr & Life Sci, Sch Agr Civil & Bioind Engn, 80 Daehak Ro, Daegu 41556, South Korea
[3] Seoul Natl Univ, Grad Sch Data Sci, 1 Gwanak Ro, Seoul 08826, South Korea
[4] Seoul Natl Univ, Coll Agr & Life Sci, Dept Rural Syst Engn, 1 Gwanak Ro, Seoul 08826, South Korea
[5] Univ Florida, Trop Res & Educ Ctr, 18905 SW 280th St, Homestead, FL 33031 USA
[6] Seoul Natl Univ, Res Inst Agr Life Sci Integrated Major Global Smar, Coll Agr & Life Sci, Dept Landscape Architecture & Rural Syst Engn, 1 Gwanak Ro, Seoul 08826, South Korea
关键词
Reservoir failure; Flood wave analysis; Numerical analysis; Structure-from-motion; Flood risk map; DAM; SIMULATION; VOLUME;
D O I
10.1007/s11069-024-06634-w
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Predicting flood wave propagation from reservoir failures is critical to practical flood hazard assessment and risk management. Flood waves are sensitive to topography, channel geometry, structures, and natural features along floodplain paths. Thus, the accuracy of flood wave modelling depends on how precisely those features are represented. This study introduces an enhancing approach to flood wave modelling by accurately representing three-dimensional objects in floodplains using the structure-from-motion (SfM). This method uses an unmanned aerial vehicle to capture topographic complexities and account for ground objects that impact flood propagation. Using the three-dimensional volume of fluid numerical approach significantly improves an enhanced representation of turbulent flow dynamics and computational efficiency, especially in handling large topography datasets. Reproductions from this enhanced three-dimensional approach were validated against recent reservoir failure observations and contrasted with traditional two-dimensional models. The results revealed that the suggested three-dimensional methodology achieved a significant 84.4% reproducibility when juxtaposed with actual inundation traces. It was 35.5%p more accurate than the two-dimensional diffusion wave equation (DWE) and 17.1%p more than the shallow water equation (SWE) methods in predicting flood waves. This suggests that the reproducibility of the DWE and SWE decreases compared to the three-dimensional approach when considering more complex floodplains. These results demonstrate that three-dimensional flood wave analysis with the SfM methodology is optimal for effectively minimising topographic and flood wave reproduction errors across extensive areas. This dual reduction in errors significantly enhances the reliability of flood hazard assessments and improves risk management by providing more precise and realistic predictions of flood waves.
引用
收藏
页码:11611 / 11640
页数:30
相关论文
共 51 条
  • [1] Adamo N., 2020, Earth Sciences and Geotechnical Engineering, V10, P191
  • [2] Experimental and Numerical Analysis for Earth-Fill Dam Seepage
    Al-Janabi, Ahmed Mohammed Sami
    Ghazali, Abdul Halim
    Ghazaw, Yousry Mahmoud
    Afan, Haitham Abdulmohsin
    Al-Ansari, Nadhir
    Yaseen, Zaher Mundher
    [J]. SUSTAINABILITY, 2020, 12 (06)
  • [3] SPH Modelling of Dam-break Floods, with Damage Assessment to Electrical Substations
    Amicarelli, Andrea
    Manenti, Sauro
    Paggi, Marco
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL FLUID DYNAMICS, 2021, 35 (1-2) : 3 - 21
  • [4] Evaluation of SfM for surface characterization of a snow-covered glacier through comparison with aerial lidar
    Bash, Eleanor A.
    Moorman, Brian J.
    Menounos, Brian
    Gunther, Allison
    [J]. JOURNAL OF UNMANNED VEHICLE SYSTEMS, 2020, 8 (02) : 119 - 139
  • [5] Brunner G. W, 2021, HEC RAS RIVER ANAL S
  • [6] Brunner Gary., 2014, USING HEC RAS DAM BR
  • [7] Flow Science, 2016, FLOW 3D V1120 USER M
  • [8] Food and Rural Affairs and Korea Rural Community Ministry for Agriculture, 2021, STAT YB LAND WATER D
  • [9] Embankment Dam Breach Parameters and Their Uncertainties
    Froehlich, David C.
    [J]. JOURNAL OF HYDRAULIC ENGINEERING-ASCE, 2008, 134 (12): : 1708 - 1721
  • [10] PEAK OUTFLOW FROM BREACHED EMBANKMENT DAM
    FROEHLICH, DC
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 1995, 121 (01): : 90 - 97