Geomorphologic characteristics of catastrophic landslides during typhoon Morakot in the Kaoping Watershed, Taiwan

Wu, Chun Hung; Chen, Su‐Chin; Chou, Hsien Ter

doi:10.1016/j.enggeo.2011.04.018

Cited by 69 publications

(62 citation statements)

References 28 publications

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“…b Large amounts of fine sediment were found on the road along the upstream Qishan River, but no obvious fine sediment was found near the Zion tunnel. It is inferred that the impoundment lake, with an estimated elevation of about 422 m, submerged the area from the Zion tunnel (upstream) (Wu et al 2011), respectively. The high-accumulated rainfall records during Typhoon Morakot were 1,931 mm in 24 h, 2,361 mm in 48 h, and 2,748 mm in 72 h at Weiliaoshan station, also in Southwestern Taiwan.…”

Section: Rainfall Distributionmentioning

confidence: 99%

“…The deepest incised depth along D profile lines is 73 m in profile D3, and the deepest incised area is located at the Fig. 2 a The geological setting (Wu et al 2011) and b the geological section map (Lee et al 2009) of the Xiaolin landslide. The new fault within the Xiaolin landslide area was found by Lee et al (2009) areas with original elevation of 880-980 m in profile D3 (the dashed rectangle in Fig.…”

Section: The Xiaolin Deep-seated Landslidementioning

confidence: 99%

“…This study estimated the landslide depth along the D profile lines in the depletion area with an elevation above 800 m (Wu et al 2011) and the deposition depth along the E profile lines in the deposition area with an elevation under 600 m (Wu et al 2011) by employing the 5×5 m DEMs before and after Typhoon Morakot (Figs. 4, 5, and 6).…”

Section: The Xiaolin Deep-seated Landslidementioning

confidence: 99%

“…The Xiaolin landslide source area was separated by a ridge (shown in Fig. 4; Wu et al 2011) into two zones, including Zone A and Zone B (shown in Fig. 4).…”

Section: The Xiaolin Deep-seated Landslidementioning

confidence: 99%

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Formation, failure, and consequences of the Xiaolin landslide dam, triggered by extreme rainfall from Typhoon Morakot, Taiwan

Wu¹,

Chen²,

Zhang³

2013

Landslides

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An extreme rainfall event on August 9, 2009, which was close to setting a world record for 48-h accumulated rainfall, induced the Xiaolin deep-seated landslide, which was located in southwestern Taiwan and had volume of 27.6×10 6 m 3 , and caused the formation of a landslide dam. The landslide dam burst in a very short time, and little information remained afterward. We reconstructed the process of formation and failure of the Xiaolin landslide dam and also inferred the area of the impoundment and topographic changes. A 5 × 5-m digital elevation model, the recorded water stage of the Qishan River, and data from field investigation were used for analysis. The spectral magnitude of the seismic signals induced by the Xiaolin landslide and flooding due to failure of the landslide dam were analyzed to estimate the timing of the dam breach and the peak discharge of the subsequent flood. The Xiaolin landslide dam failure resulted from overtopping. We verified the longevity of the Xiaolin landslide dam at about 2h relying on seismic signals and water level records. In addition, the inundated area, volume of the impoundment behind the Xiaolin landslide dam, and peak discharge of the flood were estimated at 92.3ha, 19.5×10 6 m 3 , and 17×10 3 m 3 /s, respectively. The mean velocity of the flood-recession wave front due to the dam blockage was estimated at 28km/h, and the peak flooding velocity after failure of the dam was estimated at 23km/h. The Xiaolin landslide provides an invaluable opportunity for understanding the mechanism of deep-seated landslides and flooding processes following a landslide dam failure.

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Section: Rainfall Distributionmentioning

confidence: 99%

Section: The Xiaolin Deep-seated Landslidementioning

confidence: 99%

Section: The Xiaolin Deep-seated Landslidementioning

confidence: 99%

“…The Xiaolin landslide source area was separated by a ridge (shown in Fig. 4; Wu et al 2011) into two zones, including Zone A and Zone B (shown in Fig. 4).…”

Section: The Xiaolin Deep-seated Landslidementioning

confidence: 99%

See 2 more Smart Citations

Formation, failure, and consequences of the Xiaolin landslide dam, triggered by extreme rainfall from Typhoon Morakot, Taiwan

Wu¹,

Chen²,

Zhang³

2013

Landslides

Self Cite

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“…On 8 August 2009, Typhoon Morakot invaded southern Taiwan and caused significant loss of life and property (Lin et al, 2011;Wu et al, 2011;Weng et al, 2011;Huang et al, 2014). Many levees and revetments in southern Taiwan were damaged during this event, and the river basin suffered severe flood disasters.…”

Section: Descriptions Of Chiuliao First Leveementioning

confidence: 99%

Levee reliability analyses for various flood return periods – a case study in southern Taiwan

Huang

Weng

2015

Nat. Hazards Earth Syst. Sci.

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Abstract. In recent years, heavy rainfall conditions have caused disasters around the world. To prevent losses by floods, levees have often been constructed in inundationprone areas. This study performed reliability analyses for the Chiuliao First Levee in southern Taiwan. The failure-related parameters were the water level, the scouring depth, and the in situ friction angle. Three major failure mechanisms were considered: the slope sliding failure of the levee and the sliding and overturning failures of the retaining wall. When the variability of the in situ friction angle and the scouring depth are considered for various flood return periods, the variations of the factor of safety for the different failure mechanisms show that the retaining wall sliding and overturning failures are more sensitive to the change of the friction angle. When the flood return period is greater than 2 years, the levee could fail with slope sliding for all values of the water level difference. The results of levee stability analysis considering the variability of different parameters could aid engineers in designing the levee cross sections, especially with potential failure mechanisms in mind.

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Application of a multi‐temporal, LiDAR‐derived, digital terrain model in a landslide‐volume estimation

Tseng

Lin

Stark

et al. 2013

Earth Surf Processes Landf

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Sediments produced by landslides are crucial in the sediment yield of a catchment, debris flow forecasting, and related hazard assessment. On a regional scale, however, it is difficult and time consuming to measure the volumes of such sediment. This paper uses a LiDAR-derived digital terrain model ( ). The uncertainty in estimated volume caused by use of the LiDAR DTMs is discussed, and the error in absolute volume estimation for landslides with an area >10 5 m 2 is within 20%. The volume-area relationship obtained in this study is also validated in 11 small to medium-sized catchments located outside the study area, and there is good agreement between the calculation from DTMs and the regression formula. By comparison of debris volumes estimated in this study with previous work, it is found that a wider volume variation exists that is directly proportional to the landslide area, especially under a higher scaling exponent.

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Geomorphologic characteristics of catastrophic landslides during typhoon Morakot in the Kaoping Watershed, Taiwan

Cited by 69 publications

References 28 publications

Formation, failure, and consequences of the Xiaolin landslide dam, triggered by extreme rainfall from Typhoon Morakot, Taiwan

Formation, failure, and consequences of the Xiaolin landslide dam, triggered by extreme rainfall from Typhoon Morakot, Taiwan

Levee reliability analyses for various flood return periods – a case study in southern Taiwan

Application of a multi‐temporal, LiDAR‐derived, digital terrain model in a landslide‐volume estimation

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