The potential impact of climate change on typhoon-triggered landslides in Taiwan, 2010–2099

Chiang, Shou Hao; Chang, Kai H.

doi:10.1016/j.geomorph.2010.12.028

Cited by 111 publications

(66 citation statements)

References 35 publications

(37 reference statements)

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“…The maximum hourly rainfall intensity of 181.5 mm during Typhoon Megi in 2010 is a good example of the changing characteristics of rainfall in Taiwan. Due to its fragile geological conditions, steep slopes (Chen et al 2011a, b) and the increasing intensified-rainfall events with long duration (Chiang and Chang 2011;Wu et al 2011), Taiwan is especially prone to deep-seated landslides.…”

Section: Dam Failure and River Dischargementioning

confidence: 99%

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: Dam Failure and River Dischargementioning

confidence: 99%

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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“…When large areas are recurrently struck by typhoons, as is the case in Taiwan (Chiang and Chang, 2011), it may become difficult to actually complete landslide inventory maps relying solely on air photo interpretation. Our multi-scale OBIA classification can complement the interpretation of air photos in these situations.…”

Section: Potential Applicationsmentioning

confidence: 99%

Landslide mapping with multi-scale object-based image analysis – a case study in the Baichi watershed, Taiwan

Lahousse

Chang

Lin³

2011

Nat. Hazards Earth Syst. Sci.

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Abstract. We developed a multi-scale OBIA (object-based image analysis) landslide detection technique to map shallow landslides in the Baichi watershed, Taiwan, after the 2004 Typhoon Aere event. Our semi-automated detection method selected multiple scales through landslide size statistics analysis for successive classification rounds. The detection performance achieved a modified success rate (MSR) of 86.5 % with the training dataset and 86 % with the validation dataset. This performance level was due to the multi-scale aspect of our methodology, as the MSR for single scale classification was substantially lower, even after spectral difference segmentation, with a maximum of 74 %. Our multi-scale technique was capable of detecting landslides of varying sizes, including very small landslides, up to 95 m 2 . The method presented certain limitations: the thresholds we established for classification were specific to the study area, to the landslide type in the study area, and to the spectral characteristics of the satellite image. Because updating site-specific and image-specific classification thresholds is easy with OBIA software, our multi-scale technique is expected to be useful for mapping shallow landslides at watershed level.

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“…The general circulation models (GCMs) are a possible attempt for estimating the future climate caused by the greenhouse gas. Numerous researchers used the GCMs and a landslide model for assessing the impact of climate change on the stability of slope [2]- [5], [8]- [12], [17]. Reference [12] analyzed the landslide activity change due to climate change, it was found that the return period of slope instability reduced in all the climate change scenarios because the higher temperature will tend to increase evapotranspiration and reduced effective precipitation.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Effect of Predicted Climate Change on Slope Stability in Northern Thailand: A Case of Doi Pui

Chaithong

Soralump

Pungsuwan

et al. 2017

GEOMATE

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Landslide is a natural disaster which occurs very often in mountainous areas. Climate is an important determinant on the amount of moisture in the ground, which is a key to the stability of soil slope. Therefore, climate change due to the global warming may affect the intensity of rainfall and the evaporation in the future and influences situation of slope stability in a long time. The purpose of this study is to propose a method for assessing the effect of climate change on slope stability using general circulation model (GCM). A method for predicting climate change impact on slope stability is to link the antecedent precipitation index (API), hydrological model, obtained through downscaling GCM to critical antecedent precipitation model. The GCM is downscaled using a dynamical technique to derive regional climate models. Then a statistical correlation is used to adjust for the basis of the regional climate model. The GCM used in this study is the ECHAM4/OPYC3 model. The analysis found that the trend of susceptibility to slope failure depends on the pattern of simulated rainfall and the recession constant of the antecedent precipitation index.

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The potential impact of climate change on typhoon-triggered landslides in Taiwan, 2010–2099

Cited by 111 publications

References 35 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

Landslide mapping with multi-scale object-based image analysis – a case study in the Baichi watershed, Taiwan

Assessing the Effect of Predicted Climate Change on Slope Stability in Northern Thailand: A Case of Doi Pui

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