A Simple Deposition Model for Debris Flow Simulation Considering the Erosion–Entrainment–Deposition Process
This study aimed to determine the depositional effect and improve the identification of debris flow risk zones. To accomplish this goal, we developed a two-dimensional debris flow model (Deb2D) based on a hyperbolic conservation form of the mass and the momentum balance equation with consideration o...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/8/1904 |
| _version_ | 1797443861116616704 |
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| author | Seungjun Lee Hyunuk An Minseok Kim Hyuntaek Lim Yongseong Kim |
| author_facet | Seungjun Lee Hyunuk An Minseok Kim Hyuntaek Lim Yongseong Kim |
| author_sort | Seungjun Lee |
| collection | DOAJ |
| description | This study aimed to determine the depositional effect and improve the identification of debris flow risk zones. To accomplish this goal, we developed a two-dimensional debris flow model (Deb2D) based on a hyperbolic conservation form of the mass and the momentum balance equation with consideration of the erosion–entrainment effect as well as the depositional effect. In this model, we implemented a widely-used rheological equation—the Voellmy equation—and a quadtree adaptive grid-based shallow-water equation. This model was applied to two study sites to assess the depositional effect. The impact area, volume of soil loss, maximum velocity, inundated depth, and erosion depth resulting from the debris-flow modeling were compared with the field data. The simulation results with/without deposition were evaluated using the receiver operating characteristic method. The implementation results of the erosion–entrainment model with deposition showed superior accuracy when estimating the damage range and flow time. |
| first_indexed | 2024-03-09T13:04:11Z |
| format | Article |
| id | doaj.art-d90a6376e13e4147af979c352bb430d7 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T13:04:11Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-d90a6376e13e4147af979c352bb430d72023-11-30T21:51:25ZengMDPI AGRemote Sensing2072-42922022-04-01148190410.3390/rs14081904A Simple Deposition Model for Debris Flow Simulation Considering the Erosion–Entrainment–Deposition ProcessSeungjun Lee0Hyunuk An1Minseok Kim2Hyuntaek Lim3Yongseong Kim4Department of Agricultural and Rural Engineering, Chungnam National University, Daejeon 34134, KoreaDepartment of Agricultural and Rural Engineering, Chungnam National University, Daejeon 34134, KoreaGeologic Environment Division, Korea Institute of Geoscience and Mineral Resources, Daejeon 34132, KoreaDepartment of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 24341, KoreaDepartment of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 24341, KoreaThis study aimed to determine the depositional effect and improve the identification of debris flow risk zones. To accomplish this goal, we developed a two-dimensional debris flow model (Deb2D) based on a hyperbolic conservation form of the mass and the momentum balance equation with consideration of the erosion–entrainment effect as well as the depositional effect. In this model, we implemented a widely-used rheological equation—the Voellmy equation—and a quadtree adaptive grid-based shallow-water equation. This model was applied to two study sites to assess the depositional effect. The impact area, volume of soil loss, maximum velocity, inundated depth, and erosion depth resulting from the debris-flow modeling were compared with the field data. The simulation results with/without deposition were evaluated using the receiver operating characteristic method. The implementation results of the erosion–entrainment model with deposition showed superior accuracy when estimating the damage range and flow time.https://www.mdpi.com/2072-4292/14/8/1904landslidesdebris flowdepositional effecterosion–entrainment |
| spellingShingle | Seungjun Lee Hyunuk An Minseok Kim Hyuntaek Lim Yongseong Kim A Simple Deposition Model for Debris Flow Simulation Considering the Erosion–Entrainment–Deposition Process Remote Sensing landslides debris flow depositional effect erosion–entrainment |
| title | A Simple Deposition Model for Debris Flow Simulation Considering the Erosion–Entrainment–Deposition Process |
| title_full | A Simple Deposition Model for Debris Flow Simulation Considering the Erosion–Entrainment–Deposition Process |
| title_fullStr | A Simple Deposition Model for Debris Flow Simulation Considering the Erosion–Entrainment–Deposition Process |
| title_full_unstemmed | A Simple Deposition Model for Debris Flow Simulation Considering the Erosion–Entrainment–Deposition Process |
| title_short | A Simple Deposition Model for Debris Flow Simulation Considering the Erosion–Entrainment–Deposition Process |
| title_sort | simple deposition model for debris flow simulation considering the erosion entrainment deposition process |
| topic | landslides debris flow depositional effect erosion–entrainment |
| url | https://www.mdpi.com/2072-4292/14/8/1904 |
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