A statistical method to predict debris flow deposited volumes on a debris fan

Franzi, L.; Bianco, Gennaro

doi:10.1016/s1464-1917(01)00067-8

Cited by 13 publications

(14 citation statements)

References 2 publications

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“…9). The reasons for larger debris-flow volumes can be connected with a larger catchment area (Takei, 1984;Zeller, 1985;Franzi and Bianco, 2001;), a higher slope angle of the torrent (Kronfellner-Kraus, 1984;Rickenmann, 1995;D'Agostino et al, 1996;Rickenmann and Koschni, 2010) or geologically/ lithologically induced factors (D'Agostino et al, 1996;Bianco et al, 2001;Rickenmann and Koschni, 2010). But neither the catchment area nor the torrent slope angle are obviously larger or higher than in the adjacent similar catchments (Fig.…”

Section: Comparison Of Annual Debris-flow Volumes Among the Differentmentioning

confidence: 99%

“…Most case studies have concentrated on the potential mobilisable sediment volume for a single event, but they often ignore the long term dynamics of fans and sediment supply. Debris-flow magnitudes correlate generally with the size of the catchment area (Takei, 1984;Zeller, 1985;Franzi and Bianco, 2001), the slope angle of the torrent (Kronfellner-Kraus, 1984;Rickenmann, 1995;D'Agostino et al, 1996;Rickenmann and Koschni, 2010) or geologically (lithologically) related factors (D'Agostino et al, 1996;Bianco et al, 2001;Rickenmann and Koschni, 2010), as the erodibility as well as the availability and production of loose debris varies in different lithologies. Publications suggest simple relationships but their explanatory power and accuracy is limited as they are strongly biased by the environment in which they were derived (Marchi and D'Agostino, 2004).…”

Section: Introductionmentioning

confidence: 99%

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Evidence for enhanced debris-flow activity in the Northern Calcareous Alps since the 1980s (Plansee, Austria)

Dietrich

Krautblatter

2017

Geomorphology

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Section: Comparison Of Annual Debris-flow Volumes Among the Differentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evidence for enhanced debris-flow activity in the Northern Calcareous Alps since the 1980s (Plansee, Austria)

Dietrich

Krautblatter

2017

Geomorphology

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“…Sediment-budget estimation in mountains terrain (sediment storage, contribution, and output) is an important issue which attracts much attention in the research field of earth science at different scales (Innes, 1983;Hungr et al, 1984;Takei, 1984;VanDine, 1985;Oden, 1994;Rickenmann, 1999;Bianco and Franzi, 2000;Franzi and Bianco, 2001;Helsen et al, 2002;Johnson and Warburton, 2002;Martin et al, 2002;Walling et al, 2002;Charlton et al, 2003;French, 2003;Schrott et al, 2003;Guthrie and Evans, 2004;Marchi and D'Agostino, 2004;de Vente et al, 2006;Schuerch et al, 2006;Veyrat-Charvillon and Memier, 2006;Morche et al, 2008). This study proposes a simplified sediment-budget model to provide a simple way to estimate the temporal variation of debris volume stored in the debrisflow prone watershed.…”

Section: Simplified Sediment-budget Modelmentioning

confidence: 99%

The role of the sediment budget in understanding debris flow susceptibility

Dong

Lee

Tung

et al. 2009

Earth Surf Processes Landf

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This study proposes a sediment-budget model to predict the temporal variation of debris volume stored in a debrisflow prone watershed. The sediment-budget is dominated by shallow landslides and debris outflow. The basin topography and the debris volume stored in the source area of the debris-flow prone watershed help evaluating its debris-flow susceptibility. The susceptibility model is applied to the Tungshih area of central western Taiwan. The importance of the debris volume in predicting debris-flow susceptibility is reflected in the standardized coefficients of the proposed statistical discriminant model. The high prediction rate (0·874) for the occurrence of debris flows justifies the capability of the proposed susceptibility models to predict the occurrence of debris flows. This model is then used to evaluate the temporal evolution of the debris-flow susceptibility index. The analysis results show that the numbers of watershed which are classified as a debris-flow group correspond well to storage of sediment at different time periods. These numbers are 10 before the occurrence of Chi-Chi earthquake, 13 after the occurrence of Chi-Chi earthquake, 16 after the occurrence of landslides induced by Typhoon Mindulle (Typhoon M), and 14 after the occurrence of debris flows induced by Typhoon M. It indicates that the occurrence of 7·6 Chi-Chi earthquake had significant impact on the debris flow occurrence during subsequent typhoons. Figure 1. Location (red square marked in the index map) and geology of the Tungshih study site (Lee, 2000). The index map shows the geologic provinces of Taiwan (Ho, 1975).Figure 2. Selected 44 potential debris-flow torrents (PDFTs) in the Tungshih quardrangle. PDFTs are marked in yellow; the drainage basin (black polygon) and code number for each PDFT are shown. Red indicates landslides triggered by Typhoon Mindulle. Note: A ls (C), A ls (T), and A ls (M), shallow landslide area triggered by the Chi-Chi earthquake (C) and Typhoons T and M (T, M); V stor (M B ), debris storage volume (field investigated) between Typhoons T and M; L, channel length; S, channel gradient; A, catchment area; F, form factor; V SB (T) and V SB (M), storage volume for debris during Typhoons T and M.Figure 7. (a) The debris volume stored in the catchment of 44 selected PDFTs [log(V stor )]; and (b) susceptibility index I of PDFTs; which vary with the six different periods (P1-P6). The middle line of each period represents the mean log(V stor ) and I. The upper/lower lines indicate the range of plus/minus one standard deviation of log(V stor ) and I. The variation in the debris storage index log(V stor ) is influenced by the shallow landslides (P2, P3, and, P5) and debris outflow (P4, and P6) in the PDFTs. The squares in (b) represent the values of I greater than zero.

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“…Some useful empirical equations have been proposed by previous work (ASCE, 1975;Franzi and Bianco, 2001). However, those are site-specific relations.…”

Section: Relationship Between Sediment Yield and Watershed Areamentioning

confidence: 99%

Using an integrated method to estimate watershed sediment yield during heavy rain period: a case study in Hualien County, Taiwan

Hsu¹,

Wen²,

Chen³

et al. 2012

Nat. Hazards Earth Syst. Sci.

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Abstract.A comprehensive approach estimating sediment yield from a watershed is needed to develop better measures for mitigating sediment disasters and assessing downstream impacts. In the present study, an attempt has been made to develop an integrated method, considering sediment supplies associated with soil erosion, shallow landslide and debris flow to estimate sediment yield from a debris-flow-prone watershed on a storm event basis. The integrated method is based on the HSPF and TRIGRS models for predicting soil erosion and shallow landslide sediment yield, and the FLO-2D model for calculating debris flow sediment yield. The proposed method was applied to potential debris-flow watersheds located in the Sioulin Township of Hualien County. The available data such as hourly rainfall data, historical streamflow and sediment records as well as event-based landslide inventory maps have been used for model calibration and validation. Results for simulating sediment yield have been confirmed by comparisons of observed data from several typhoon events. The verified method employed a 24-h design hyetograph with the 100-yr return period to simulate sediment yield within the study area. The results revealed that the influence of shallow landslides on sediment supply as compared with soil erosion was significant. The estimate of landslide transport capacity into a main channel indicated the sediment delivery ratio on a typhoon event basis was approximately 38.4 %. In addition, a comparison of sediment yields computed from occurrence and non-occurrence of debris flow scenarios showed that the sediment yield from an occurrence condition was found to be increasing at about 14.2 times more than estimated under a non-occurrence condition. This implied watershed sediment hazard induced by debris flow may cause severe consequences.

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A statistical method to predict debris flow deposited volumes on a debris fan

Cited by 13 publications

References 2 publications

Evidence for enhanced debris-flow activity in the Northern Calcareous Alps since the 1980s (Plansee, Austria)

Evidence for enhanced debris-flow activity in the Northern Calcareous Alps since the 1980s (Plansee, Austria)

The role of the sediment budget in understanding debris flow susceptibility

Using an integrated method to estimate watershed sediment yield during heavy rain period: a case study in Hualien County, Taiwan

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