The Influence of Accumulated Precipitation on Debris Flow Hazard Area

Liu, Ko-Fei; Wei, Shih-Chao; Wu, Ying-Hsin

doi:10.1007/978-3-319-04996-0_8

Cited by 5 publications

(1 citation statement)

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“…Therefore, a model that integrates rainfall-runoff, landslide and soil erosion models for simulating mass production and movement with a dynamical model of riverbed erosion and sedimentation could facilitate simulation of all dynamic processes of rainfall-inducing hydrological response, mass production and movement, riverbed profile evolution, and sediment transportation in a watershed, and practically achieve precise prediction of watershed sediment budget by considering spatial property of sediment mass. In the past decades, great efforts have been made to successfully model or analyze the individual processes of rainfall-runoff (e.g., [12][13][14][15]), landslide prediction or movement (e.g., [16], and references therein), debris flow movement (e.g., [17][18][19][20][21][22][23]), dynamic sediment routing (e.g., [11,24], and references therein) and compound mass movement [25]. However, integrating all aforementioned models is quite challenging because of obvious differences of spatial and temporal scales among all processes.…”

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confidence: 99%

Dynamic Modeling of Sediment Budget in Shihmen Reservoir Watershed in Taiwan

Chen

Shen³

et al. 2018

Water

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Qualifying sediment dynamic in a reservoir watershed is essential for water resource management. This study proposed an integrated model of Grid-based Sediment Production and Transport Model (GSPTM) at watershed scale to evaluate the dynamic of sediment production and transport in the Shihmen Reservoir watershed in Taiwan. The GSPTM integrates several models, revealing landslide susceptibility and processes of rainfall-runoff, sediment production from landslide and soil erosion, debris flow and mass movement, and sediment transport. For modeling rainfall-runoff process, the tanks model gives surface runoff volume and soil water index as a hydrological parameter for a logistic regression-based landslide susceptibility model. Then, applying landslide model with a scaling relation of volume and area predicts landslide occurrence. The Universal Soil Loss Equation is then used for calculating soil erosion volume. Finally, incorporating runoff-routing algorithm and the Hunt's model achieves the dynamical modeling of sediment transport. The landslide module was calibrated using a well-documented inventory during 10 heavy rainfall or typhoon events since 2004. A simulation of Typhoon Morakot event was performed to evaluate model's performance. The results show the simulation agrees with the tendency of runoff and sediment discharge evolution with an acceptable overestimation of peak runoff, and predicts more precise sediment discharge than rating methods do. In addition, with clear distribution of sediment mass trapped in the mountainous area, the GSPTM also showed a sediment delivery ratio of 30% to quantify how much mass produced by landslide and soil erosion is still trapped in mountainous area. The GSPTM is verified to be useful and capable of modeling the dynamic of sediment production and transport at watershed level, and can provide useful information for sustainable development of Shihmen Reservoir watershed.

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