Heat stability analysis of embankment on the degrading permafrost district in the East of the Tibetan Plateau, China

Li, Dongqing; Wu, Zhong Chao; Fang, Jianhong; Li, Yichi; Lu, Ningan

doi:10.1016/s0165-232x(98)00018-4

Cited by 27 publications

(6 citation statements)

References 3 publications

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“…The specific application that drove the development of this method, to determine the upper boundary conditions for a permafrost thermal model, provides a basis for the quantitative analysis of permafrost interaction with changing surface conditions. Compared with previous methods, including empirical relations (Li et al ., ; Lai et al ., ; Niu et al ., ) and theory‐based formulae (Greuell and Konzelmann, ; Ling and Zhang, ), the method presented here has the advantage of using physically based numerical models for global and regional climate, and using local observational data to calibrate model predictions prone to systematic error and biases. An important advantage of this approach is that it allows researchers to use GCM predictions of future climate change to assess likely changes in conditions at a site by downscaling through a RCM and regression equations.…”

Section: Discussionmentioning

confidence: 99%

“…Once a calibrated model has been developed for past or current conditions, either with or without engineering structures, an additional challenge in assessing the potential impacts of future climate scenarios is to construct sufficiently detailed time series of future climate parameters at the appropriate spatial scale to drive the model. In some past work, thermal changes in the upper boundary condition have been driven by a temperature change function using a constant warming rate (Kane et al ., ; Li et al ., ; Lai et al ., ; Wen et al ., ). In contrast, Sushama et al .…”

Section: Introductionmentioning

confidence: 99%

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A New Method to Determine the Upper Boundary Condition for a Permafrost Thermal Model: An Example from the Qinghai‐Tibet Plateau

Zhang

Min

et al. 2012

Permafrost & Periglacial

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Assessing possible permafrost degradation related to engineering projects, climate change and land use change is of critical importance for protecting the environment and in developing sustainable designs for vital infrastructure in cold regions. A major challenge in modelling the future degradation of permafrost is finding ways to constrain changes in the upper thermal boundary condition over time and space at appropriate scales. Here, we report on an approach designed to predict time series of air, ground surface and shallow ground temperatures at a spatial scale on the order of 102 m2 for engineering design of a railway or highway project. The approach uses a regional‐scale atmospheric model to downscale global climate model output, and then stepwise multiple regression to develop an equation that provides a best‐fit prediction of site‐specific observational data using bilinearly interpolated output from the atmospheric model. This approach bridges the scale difference between atmospheric climate models and permafrost thermal models, and allows for a wider range of factors to be used in predicting the thermal boundary condition. For a research site located in Beiluhe, China, close to the Qinghai‐Tibet Railway, a comparison of model predictions with observational data not used in the construction of the model shows that this method can be used with a high degree of accuracy to determine the upper boundary condition for a permafrost thermal model. Once a model is constructed, it can be used to predict future changes in boundary condition parameters under different greenhouse emission scenarios for climate change. Copyright © 2012 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Method to Determine the Upper Boundary Condition for a Permafrost Thermal Model: An Example from the Qinghai‐Tibet Plateau

Zhang

Min

et al. 2012

Permafrost & Periglacial

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“…Numerical methods can be used to simulate the freeze–thaw process of permafrost (Wei et al., 2021; Zhao et al., 2016), predict future permafrost distribution trends (Ni et al., 2021; Wu et al., 2018), and estimate active layer thickness (Pang et al., 2011; Qin et al., 2017; Wu et al., 2012). Many statistical–empirical models (Li et al., 1998; Zhang et al., 2008) and numerical models (Harlan, 1973; Riseborough et al., 2008; Taylor & Luthin, 1978) have been developed to study the relationship between temperature and stability in frozen soil or artificial earth and rock dams (Su et al., 2009; Wang et al., 2011). However, there are as yet few numerical modeling studies of moraine dams in cold and high‐altitude mountainous areas.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Freeze–Thaw and Melting of Buried Ice in Longbasaba Moraine Dam in the Central Himalayas Between 1959 and 2100 Using COMSOL Multiphysics

Wang

Zhang

et al. 2023

JGR Earth Surface

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“…Traditionally, field-scale inspections of soil engineering properties commonly utilize field observations and measurements on soil surfaces that require surveyors to walk along the entire structure, such as slope and embankment [13][14][15], in-situ monitoring techniques such as piezometers and clinometers [16,17], and destructive techniques such as excavation and drill-holes [18][19][20]. However, direct observation and monitoring with these methods remain expensive from both human and equipment resource perspectives, and the results are based on several single-point values, which may be unreliable and incomplete and, more importantly, may disturb the original soil pattern, resulting in less accurate evaluations.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Electric Resistivity Characteristics of Compacted Loess under Different Loads and Drying‐Wetting Cycles

Zhou

et al. 2021

Advances in Civil Engineering

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Densely compacted loess foundations of many man-made infrastructures are often exposed to various loads and extreme weathering processes (e.g., drying-wetting cycles), which significantly deteriorate their mechanical properties. Traditional methods applied to characterize soil engineering properties are primarily based on visual inspections, point sensors, or destructive approaches, the results of which often have relatively high costs and cannot provide large-area coverage. The electrical resistivity method is a reasonable alternative that provides a nondestructive, sensitive, and continuous evaluation of the soil physical properties. Thus, the relationships between electrical resistivity and soil strength should be understood, particularly for scenarios in which soils undergo significant loads and cycles of drying and wetting. In this study, a suite of laboratory tests simulating loads (consolidation tests, unconfined compression tests, and uniaxial cyclic unloading-reloading tests) and seasonal field conditions (drying-wetting cycle tests) were conducted to quantitatively assess their deterioration effects on the geophysical and geotechnical properties of compacted loess. The experimental results indicated that electric resistivity decreases with the increase in stress and then approaches a stable value after the stress becomes 200 kPa. During the uniaxial compression process, the electric resistivity corresponds to both the stress and strain of loess in real-time. The electrical resistivity of loess reflects plastic damage under uniaxial unloading-reloading tests, but it is deficient in representing the dissipated energy of loess. The electrical resistivity of loess samples increases as the number of drying-wetting cycles increases but decreases with increasing cycle numbers after stabilization under consolidation load. The electrical resistivity can effectively characterize the mechanical and deformation characteristics of loess samples under loads and drying-wetting cycles, exhibiting a certain potential for long-term monitoring of soil engineering properties.

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Heat stability analysis of embankment on the degrading permafrost district in the East of the Tibetan Plateau, China

Cited by 27 publications

References 3 publications

A New Method to Determine the Upper Boundary Condition for a Permafrost Thermal Model: An Example from the Qinghai‐Tibet Plateau

A New Method to Determine the Upper Boundary Condition for a Permafrost Thermal Model: An Example from the Qinghai‐Tibet Plateau

Simulation of Freeze–Thaw and Melting of Buried Ice in Longbasaba Moraine Dam in the Central Himalayas Between 1959 and 2100 Using COMSOL Multiphysics

Experimental Study on Electric Resistivity Characteristics of Compacted Loess under Different Loads and Drying‐Wetting Cycles

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