Real-time monitoring and early warning of landslides at relocated Wushan Town, the Three Gorges Reservoir, China

Yin, Yueping; Wang, Hongde; Gao, Youlong; Li, Xiaochun

doi:10.1007/s10346-010-0220-1

Cited by 206 publications

(76 citation statements)

References 5 publications

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“…Almost every landslide has a basic water table or minimum water table (here starts at ∼ 29 kPa). It means the "drainage position" is higher than the "bedrock" (for other cases see Matsuura et al, 2008;Schulz et al, 2009;Yin et al, 2010). The relation between PWP i+1 and PWP i without rainfall infiltration is shown in Fig.…”

Section: Determining Change In Pore Water Pressure In the Modified Tamentioning

confidence: 97%

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A modified tank model including snowmelt and infiltration time lags for deep-seated landslides in alpine environments (Aggenalm, Germany)

Nie¹,

Krautblatter²,

Leith³

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. Deep-seated landslides are an important and widespread natural hazard within alpine regions and can have significant impacts on infrastructure. Pore water pressure plays an important role in determining the stability of hydrologically triggered deep-seated landslides. Based on a simple tank model structure, we improve groundwater level prediction by introducing time lags associated with groundwater supply caused by snow accumulation, snowmelt and infiltration in deep-seated landslides. In this study, we demonstrate an equivalent infiltration calculation to improve the estimation of time lags using a modified tank model to calculate regional groundwater levels. Applied to the deep-seated Aggenalm landslide in the German Alps at 1000-1200 m a.s.l., our results predict daily changes in pore water pressure ranging from −1 to 1.6 kPa, depending on daily rainfall and snowmelt, which are compared to piezometric measurements in boreholes. The inclusion of time lags improves the results of standard tank models by ∼ 36 % (linear correlation with measurement) after heavy rainfall and by ∼ 82 % following snowmelt in a 1-2-day period. For the modified tank model, we introduced a representation of snow accumulation and snowmelt based on a temperature index and an equivalent infiltration method, i.e. the melted snow-water equivalent. The modified tank model compares well to borehole-derived water pressures. Changes of pore water pressure can be modelled with 0-8 % relative error in rainfall season (standard tank model: 2-16 % relative error) and with 0-7 % relative error in snowmelt season (standard tank model: 2-45 % relative error). Here we demonstrate a modified tank model for deep-seated landslides which includes snow accumulation, snowmelt and infiltration effects and can effectively predict changes in pore water pressure in alpine environments.

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Section: Determining Change In Pore Water Pressure In the Modified Tamentioning

confidence: 97%

“…2.4), and time lag 2. The relationship between infiltration and water table is often proportional in slopes (Matsuura et al, 2008;Schulz et al, 2009;Thuro et al, 2010;Yin et al, 2010). Therefore, the conceptual equation of changed water table should be…”

Section: Monitoring Datamentioning

confidence: 99%

A modified tank model including snowmelt and infiltration time lags for deep-seated landslides in alpine environments (Aggenalm, Germany)

Nie¹,

Krautblatter²,

Leith³

et al. 2017

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…This proposed methodology focuses on the conventional monitoring module, since it is commonly used at the community level to produce a local and immediate warning communication. The conventional monitoring devices consist of the integration of various instruments to measure rainfall (rain gauge), to measure the ground movement (extensometer, tiltmeter, inclinometer, and pipe strain gauge), to measure the fluctuation of groundwater level and porewater pressure (piezometer), and survey stakes with or without a telemetry system (Thiebes and Glade, 2016;Yin et al, 2010). Each monitoring device sends designated information concerning the hazard level directly to the community and to the local control center.…”

Section: Installation Of Hazard Monitoring and Warning Services And Imentioning

confidence: 99%

An integrated methodology to develop a standard for landslide early warning systems

Fathani

Karnawati

Wilopo

2016

Nat. Hazards Earth Syst. Sci.

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Abstract. Landslides are one of the most widespread and commonly occurring natural hazards. In regions of high vulnerability, these complex hazards can cause significant negative social and economic impacts. Considering the worldwide susceptibility to landslides, it is necessary to establish a standard for early warning systems specific to landslide disaster risk reduction. This standard would provide guidance in conducting landslide detection, prediction, interpretation, and response. This paper proposes a new standard consisting of seven sub-systems for landslide early warning. These include risk assessment and mapping, dissemination and communication, establishment of the disaster preparedness and response team, development of an evacuation map, standardized operating procedures, installation of monitoring and warning services, and the building of local commitment to the operation and maintenance of the entire program. This paper details the global standard with an example of its application from Central Java, one of 20 landslide-prone provinces in Indonesia that have used this standard since 2012.

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“…Fiber optic sensing is an innovative and rapidly developing technology that has been successfully applied to performance monitoring in many fields such as civil engineering (Ansari 2007;Lu et al 2012), geohazards (Wang et al 2009;Yin et al 2010;Shi et al 2011;Habel et al 2014;Sun et al 2014), and energy industries (Arsenault et al 2013;Niewczas and McDonald 2007). Fiber optic sensors have some unique advantages over conventional sensors, including immunity to external electromagnetic (EM) perturbations, high precision, strong durability, and long service lives for long-term monitoring (Bao and Chen 2012).…”

Section: Introductionmentioning

confidence: 99%

Internal deformation monitoring for centrifuge slope model with embedded FBG arrays

Zhang

Bezuijen

et al. 2016

Landslides

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The fiber Bragg grating (FBG) sensing technology was utilized for internal deformation monitoring in a centrifuge test of soil slope. An array of FBG sensors were encapsulated into a sensing fiber with a diameter of 0.9 mm. A pullout test was designed to investigate the frictional behavior between the sensing fiber and soil. It was concluded that, for a certain value of overburden pressure, the fiber strain is equal to the strain of soil as long as the fiber strain is less than its peak value in the pullout test. The sensing fibers were embedded directly into a slope centrifuge model to monitor the internal strain distribution and its variation. It can be found that the horizontal sensors were stretched extremely and the vertical sensors were compressed distinctly near a potential slip surface. Thus, it is possible to evaluate the soil internal deformation as well as the failure of the slope model by using FBG sensing technology. This is verified by a comparison between the results of FBGs and that of a numerical simulation. According to these preliminary results, discussions and recommendations for further research are presented.

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Real-time monitoring and early warning of landslides at relocated Wushan Town, the Three Gorges Reservoir, China

Cited by 206 publications

References 5 publications

A modified tank model including snowmelt and infiltration time lags for deep-seated landslides in alpine environments (Aggenalm, Germany)

A modified tank model including snowmelt and infiltration time lags for deep-seated landslides in alpine environments (Aggenalm, Germany)

An integrated methodology to develop a standard for landslide early warning systems

Internal deformation monitoring for centrifuge slope model with embedded FBG arrays

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