Debris flows analysis through quantitative evaluation of soil depth distribution under limited data
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Lee, Seungjun
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Korea Inst Geosci & Mineral Resources, Geol Hazards Div, Daejeon 34132, South KoreaKorea Inst Geosci & Mineral Resources, Geol Hazards Div, Daejeon 34132, South Korea
Lee, Seungjun
[1
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An, Hyunuk
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Chungnam Natl Univ, Dept Agr & Rural Engn, Daejeon 34134, South KoreaKorea Inst Geosci & Mineral Resources, Geol Hazards Div, Daejeon 34132, South Korea
An, Hyunuk
[2
]
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Kim, Minseok
[1
]
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Lee, Daeeop
[1
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Lee, Jaeuk
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Korea Inst Geosci & Mineral Resources, Geol Hazards Div, Daejeon 34132, South KoreaKorea Inst Geosci & Mineral Resources, Geol Hazards Div, Daejeon 34132, South Korea
Lee, Jaeuk
[1
]
机构:
[1] Korea Inst Geosci & Mineral Resources, Geol Hazards Div, Daejeon 34132, South Korea
[2] Chungnam Natl Univ, Dept Agr & Rural Engn, Daejeon 34134, South Korea
Soil depth is essential in studying natural disasters such as landslides and debris flow hazards. Despite the importance of soil depth in the mechanism of erosion-entrainment during the debris flow process, research on soil-depth data for analyzing debris flows is limited. Therefore, this study focused on the Gallam-ri area with a watershed of 0.9 km(2) to evaluate the soil depth mapping under limited data and significance of these maps for debris flow simulations. Based on the knocking pole test data, two-dimensional distribution soil depth maps were constructed using the S and Z models, the Kriging method, and a method that applies some values uniformly as the soil depth (U model). The accuracy of soil depth mapping methods was quantitatively evaluated using R-2 and root mean squared error analysis. Since soil depth demonstrated independent patterns with land-surface data, soil depth maps using S and Z models have structural limitations showing R-2 of 0.0003 and 0.002, respectively. The debris flows were analyzed through numerical model Deb2D, and the soil depth most significantly influenced the erosion volume and the damaged area. Analyses using S and U models showed 94 % and 98 % high similarity to the simulation results through the Kriging method, respectively. However, considering overall analyses, the S model was analyzed to be the most stable in constructing soil depth maps and simulating debris flows for ungauged basins.
机构:
Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
Shen, Ping
Zhang, Limin
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Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
Zhang, Limin
Wong, Ho Fai
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Technol & Higher Educ Inst Hong Kong, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
Wong, Ho Fai
Peng, Dalei
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Technol & Higher Educ Inst Hong Kong, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
Peng, Dalei
Zhou, Shengyang
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Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
Zhou, Shengyang
Zhang, Shuai
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Zhejiang Univ, MOE Key Lab Soft Soils & Geoenvironm Engn, Zheda Rd 38, Hangzhou 310027, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
Zhang, Shuai
Chen, Chen
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Sichuan Univ, Coll Water Resource & Hydropower, State Key Lab Hydraul & Mt River Engn, 24 South Sect 1,Yihuan Rd, Chengdu 610065, Sichuan, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
机构:
Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
Shen, Ping
Zhang, Limin
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Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
Zhang, Limin
Wong, Ho Fai
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机构:
Technol & Higher Educ Inst Hong Kong, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
Wong, Ho Fai
Peng, Dalei
论文数: 0引用数: 0
h-index: 0
机构:
Technol & Higher Educ Inst Hong Kong, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
Peng, Dalei
Zhou, Shengyang
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机构:
Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
Zhou, Shengyang
Zhang, Shuai
论文数: 0引用数: 0
h-index: 0
机构:
Zhejiang Univ, MOE Key Lab Soft Soils & Geoenvironm Engn, Zheda Rd 38, Hangzhou 310027, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China
Zhang, Shuai
Chen, Chen
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机构:
Sichuan Univ, Coll Water Resource & Hydropower, State Key Lab Hydraul & Mt River Engn, 24 South Sect 1,Yihuan Rd, Chengdu 610065, Sichuan, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China