3D WebGIS-based platform for debris flow early warning: A case study

Jian, Huang; Huang, Runqiu; Ju, Nengpan; Liu, Fangzhou; He, Chuan

doi:10.1016/j.enggeo.2015.08.013

Cited by 51 publications

(26 citation statements)

References 28 publications

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“…Large earthquakes cause major disturbances to the patterns of erosion and sediment export from mountain belts (e.g. Keefer, 1994;Dadson et al, 2004;Hovius et al, 2011;Parker et al, 2011;Huang and Fan, 2013;Li et al, 2017). Thousands of landslides can be triggered by seismic shaking.…”

Section: Earthquake-induced Enhanced Landslidingmentioning

confidence: 99%

Two multi-temporal datasets that track the enhanced landsliding after the 2008 Wenchuan earthquake

Fan¹,

Scaringi²,

Domènech³

et al. 2019

Earth Syst. Sci. Data

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110

105

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Abstract. We release two datasets that track the enhanced landsliding induced by the 2008 Mw 7.9 Wenchuan earthquake over a portion of the Longmen Mountains, at the eastern margin of the Tibetan Plateau (Sichuan, China). The first dataset is a geo-referenced multi-temporal polygon-based inventory of pre- and coseismic landslides, post-seismic remobilisations of coseismic landslide debris and post-seismic landslides (new failures). It covers 471 km2 in the earthquake's epicentral area, from 2005 to 2018. The second dataset records the debris flows that occurred from 2008 to 2017 in a larger area (∼17 000 km2), together with information on their triggering rainfall as recorded by a network of rain gauges. For some well-monitored events, we provide more detailed data on rainfall, discharge, flow depth and density. The datasets can be used to analyse, on various scales, the patterns of landsliding caused by the earthquake. They can be compared to inventories of landslides triggered by past or new earthquakes or by other triggers to reveal common or distinctive controlling factors. To our knowledge, no other inventories that track the temporal evolution of earthquake-induced mass wasting have been made freely available thus far. Our datasets can be accessed from https://doi.org/10.5281/zenodo.1405489. We also encourage other researchers to share their datasets to facilitate research on post-seismic geological hazards.

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Section: Earthquake-induced Enhanced Landslidingmentioning

confidence: 99%

Two multi-temporal datasets that track the enhanced landsliding after the 2008 Wenchuan earthquake

Fan¹,

Scaringi²,

Domènech³

et al. 2019

Earth Syst. Sci. Data

Self Cite

110

105

View full text Add to dashboard Cite

show abstract

“…Data Discuss., https://doi.org/10.5194/essd-2018-105 , 2018Zhang et al, 2016;Zhang and Zhang, 2017). Research has been facilitated by the increased availability of frequent and high-resolution remote sensing images (Fan et al, 2018b), and by near real-time monitoring networks (Huang et al, 2015).…”

Section: Multi-temporal Inventorying Of Landslidesmentioning

confidence: 99%

“…We included data not only for catastrophic and well-studied 10 events (e.g., Tang et al, 2012;Xu et al, 2012), but also for smaller events that did not cause fatalities or heavy damage to the population and the infrastructure. We Geoenvironment Protection (SKLGP, Chengdu, China; see Huang et al, 2015). These data were all recorded by automatic rain gauges.…”

Section: Data Acquisition Structure Of the Dataset And Attributesmentioning

confidence: 99%

Two multi-temporal datasets to track the enhanced landsliding after the 2008 Wenchuan earthquake

Fan¹,

Scaringi²,

Yang³

et al. 2018

Preprint

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Abstract. We release two datasets that track the enhanced landsliding induced by the Mw 7.9 2008 Wenchuan earthquake over a portion of the Longmen mountains, at the eastern margin of the Tibetan plateau (Sichuan, China). The first dataset is a geo-referenced multi-temporal polygon-based inventory of pre- and coseismic landslides, post-seismic remobilisations of coseismic landslide debris, and post-seismic landslides (new failures). The inventory covers 462.5 km2 in the earthquake's epicentral area, from 2005 to 2015. The second dataset records the debris flows that occurred from 2008 to 2017 in a larger area (~ 17,000 km2), together with information on their triggering rainfalls recorded by a network of rain gauges. For some well-monitored event, we provide detailed information on rainfall, discharge, flow depth and density. The datasets can be used to analyse, at various scales, the patterns of enhanced landsliding caused by the earthquake. They can be compared to inventories relative to past or new earthquakes or other triggers to reveal common or distinctive controlling factors. To our knowledge, no other inventories that track the temporal evolution of earthquake-induced mass wasting have been made freely available thus far. Our datasets are available at https://doi.org/10.5281/zenodo.1405490. We also encourage other researchers to share their datasets to facilitate research on post-seismic geological hazards.

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“…For this purpose, the history events about rainfall with debris-flow occurrences and non-occurrences have been collected during the initial research, unfortunately, none of those data has any pore-water pressure information. Even though several years have already passed under the real-time monitoring system, there are still limited available data for this research (Huang et al 2015a). …”

Section: Methodsmentioning

confidence: 99%

A preliminary study on the comprehensive threshold for debris-flow early warning

Xue

Jian

2016

Preprint

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Debris-flows not only cause a great loss of property, but also kill and injure people every rainy season in the mountainous regions of China. In order to reduce hazard and risk, several methods of assessing rainfall thresholds have been provided at present, based on statistical models. However, the limited rainfall data with debris-flow occurrence or non-occurrence makes threshold analyses very difficult. This paper, therefore, presented a kind of comprehensive threshold consisting of pore-water pressure from Terzaghi theory, and rainfall factors from frequent usage for predicting debris-flow occurrence. Rainfall and pore pressure data has been collected in a number of locations in Wenjiagou gully to assess critical rainfall and pore pressure values for debris flow initiation. The three-level early warning criteria (Zero, Attention, and Warning) has been adopted and the corresponding judgement conditions has been defined based on monitoring data in a real-time way. Finally, it is suggested that the combination of these two critical values might be a useful approach in a warning system for safeguarding of population in debris-flow prone areas.

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3D WebGIS-based platform for debris flow early warning: A case study

Cited by 51 publications

References 28 publications

Two multi-temporal datasets that track the enhanced landsliding after the 2008 Wenchuan earthquake

Two multi-temporal datasets that track the enhanced landsliding after the 2008 Wenchuan earthquake

Two multi-temporal datasets to track the enhanced landsliding after the 2008 Wenchuan earthquake

A preliminary study on the comprehensive threshold for debris-flow early warning

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