Risk assessment of snowmelt-induced landslides based on GIS and an effective snowmelt model

Miao, Fasheng; Wu, Yiping; Li, Linwei; Liao, Kang; Zhang, Longfei

doi:10.1007/s11069-019-03693-2

Cited by 18 publications

(10 citation statements)

References 26 publications

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“…Snowmelt infiltration affects the moisture content of soils in seasonally cold regions, and extensive infiltration due to continuous snowmelt over long periods of thawing may trigger landslides [1][2][3][4][5][6][7][8] (Figure 1, from a study on a snowmelt estimation method for road management), which can result in significant loss of life and damage to public and private property. Therefore, the influence of snowmelt infiltration on the soil slope stability in seasonally cold regions cannot be ignored.…”

Section: Introductionmentioning

confidence: 99%

“…This issue is particularly significant for ensuring the safe operation and maintenance of the high-speed railways constructed in Northeast China, which is a typical seasonally cold region [9][10][11]. While some studies have reported on the occurrence of cutting slope failures due to snowmelt infiltration during the construction of high-speed railways [12], the majority of studies have been restricted to investigating the stability of soil slopes subjected to rainfall [13][14][15][16][17] and those within permafrost regions [7,18]. the majority of studies have been restricted to investigating the stability of soil slopes subjected to rainfall [13][14][15][16][17] and those within permafrost regions [7,18].…”

Section: Introductionmentioning

confidence: 99%

“…While some studies have reported on the occurrence of cutting slope failures due to snowmelt infiltration during the construction of high-speed railways [12], the majority of studies have been restricted to investigating the stability of soil slopes subjected to rainfall [13][14][15][16][17] and those within permafrost regions [7,18]. the majority of studies have been restricted to investigating the stability of soil slopes subjected to rainfall [13][14][15][16][17] and those within permafrost regions [7,18]. Moreover, the limited efforts focused on exploring the stability of soil slopes under the influence of snowmelt infiltration have relied typically on two-dimensional (2D) numerical analyses [3,5,7].…”

Section: Introductionmentioning

confidence: 99%

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Three-Dimensional Numerical Investigation on the Seepage Field and Stability of Soil Slope Subjected to Snowmelt Infiltration

Cong

Tang

Ling

et al. 2021

Water

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Cutting slope failures occur frequently along the high-speed railways in Northeast China during the construction due to snowmelt infiltration. This study addresses this issue by applying a three-dimensional numerical model. The influence of the depth of accumulated snow (ds), daily temperature variation (ΔT), and freeze-thaw (F-T) cycles on the seepage field and stability of cutting slopes is discussed. The results demonstrate that water seepage due to snowmelt infiltration primarily extends through the ground surface by about 10 m. The deep-seated instability is likely to occur under a prolonged and highly accumulated infiltration, while shallow failure is associated with intense, short-duration snowmelt infiltration. The maximum degree of saturation (Sr) and pore-water pressure (PWP) values are observed at the slope toe. Increasing ds and ΔT increase the Sr and PWP due to snowmelt infiltration and thereby decreases cutting slope stability. Compared to the ds and ΔT, the F-T cycle is more likely to cause slope failure. In addition, the F-T cycle also induces the reduction of soil strength and the crack propagation. Overall, the conducted study provided useful help toward the process of safer design for cutting slope along the high-speed railway in seasonally cold regions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Three-Dimensional Numerical Investigation on the Seepage Field and Stability of Soil Slope Subjected to Snowmelt Infiltration

Cong

Tang

Ling

et al. 2021

Water

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“…Various studies developed methods for snowmelt estimation (Berris & Harr, 1987; Matsuura, 1998; Matsuura, 2000; Matsuura et al, 2008; Matsuura et al, 2013; Okimura & Ichikawa, 1985; Singh et al, 1997; Williams et al, 1999). Recently, a risk assessment of snowmelt‐induced landslides has been presented (Miao et al, 2019) that uses an effective snowmelt model at slope scale. Though extensive research has been performed on diverse aspects of snowmelt, the complexity of snowmelt, soil thawing, and infiltration has hampered the development of regional scale prediction methods for spring soil slope failures, and no spatially distributed physically‐based numerical model is yet available.…”

Section: Introductionmentioning

confidence: 99%

A Sequentially Coupled Catchment‐Scale Numerical Model for Snowmelt‐Induced Soil Slope Instabilities

et al. 2020

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The frequency of snowmelt-induced soil slope instabilities is increasing in some seasonally cold regions because of climate change. Reliable hazard assessment and risk mitigation of snowmelt-induced landslides require physically-based prediction models. However, existing models either apply only at the slope scale or assume precipitation as the sole landslide trigger. In doing so, they neglect the complexity and coupled nature of the thermo-hydro-mechanical processes leading to slope instability in seasonally cold regions (such as snow accumulation and melting, infiltration and surface runoff, soil saturation, pore water pressure buildup and dissipation). Here, we present a spatially distributed and sequentially coupled numerical model to simulate snowmelt-induced slope instabilities at the catchment scale. The model accounts for temperature-dependent changes in the soil hydraulic behavior related to changes in water state by means of a routine implemented in a geographic information system. We verified the performance of the model using a case study of spring snowmelt-induced soil slope failures that occurred after the 2004 Mid-Niigata earthquake in Japan. Considering limitations and simplifications, the model was able to predict the triggering condition, magnitude, and spatial distribution of the snowmelt-induced landslides with a satisfactory degree of accuracy. We believe that the robustness and simplicity of our numerical approach make it suitable for implementation in early warning systems.Plain Language Summary Climate change is responsible for an increasing number of natural disasters in seasonally cold regions, where heavier snowfalls and sudden snowmelts can cause destructive landslides on hill slopes. These landslides are not easy to study because the mechanisms that trigger them are different from those of shallow landslides occurring in response to rainfall. Moreover, advanced models that incorporate the complex relations among rain, snow, temperature, soil freezing, melting, and slope stability at a detailed scale are still cumbersome and very demanding in terms of computational power. For these reasons, evaluating the risk to people and assets in seasonally cold regions is not straightforward, and existing models tend to underestimate it. In this paper, we propose a novel modeling strategy to study the stability of soil slopes under the influence of both snowmelt and rainfall at a regional scale. First, we explain the governing mechanisms of snowmelt-induced landslides; then, we present our strategy along with detailed explanations of the equations we use. We test our model by predicting a known case study (the snowmelt-induced landslides of 2005 in Niigata, Japan) and obtain a reasonably good result. This simple strategy could be applied in an early warning system for snowmelt-induced landslides.

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“…Snowfall can be identified by using a two-dimensional model, so that disaster risk reduction can be optimized (Nakamura et al, 2019). Snowmelt is affected by slopes and causes high infiltration (Miao et al, 2019). MODIS-based vegetation maps can be used to calculate the capacity and intensity of snow in a basin (Pyankov et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

The Application of Geographic Information System (GIS) and Remote Sensing in Quantifying Snow Cover and Precipitation in Kabul Basin

Zaman¹,

Khan²

2020

Geosfera Ind.

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Water Resources availability is very important to social and economic well-being of the people and has huge impacts on the socio-economic scenarios of a country. Precipitation and snow cover area assessment is some of the major inputs in hydrologic modelling and also for assessing and managing water resources in a basin. The change in the water availability in a basin has huge socio-economic impacts because of the water usage for food production, industries, and many others. The main aim of this study was to measure the snow cover area and precipitation from 2001 to 2015 in the Kabul basin. Moderate Resolution Image Spectroradiometer (MODIS) and Tropical Rainfall measuring Mission (TRMM) data were used to study snow cover area and precipitation respectively during 2001-2015. 8-day snow cover product for 15 years (January) was used to analyse the snow cover while monthly data of TRMM (3B43) were used to analyse the rainfall from 2001-2015. Different image processing techniques were applied on the data retrieved using GIS and Remote Sensing softwares. Initially, SCA was seen increasing, but during the last 3-4 years, it kept decreasing gradually. Rainfall was initially recorded as low, while later on, it was recorded high and reached the highest during 2010. Keywords: MODIS; Snow Cover; TRMM; Precipitation; Kabul Basin; Remote Sensing Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

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Risk assessment of snowmelt-induced landslides based on GIS and an effective snowmelt model

Cited by 18 publications

References 26 publications

Three-Dimensional Numerical Investigation on the Seepage Field and Stability of Soil Slope Subjected to Snowmelt Infiltration

Three-Dimensional Numerical Investigation on the Seepage Field and Stability of Soil Slope Subjected to Snowmelt Infiltration

A Sequentially Coupled Catchment‐Scale Numerical Model for Snowmelt‐Induced Soil Slope Instabilities

The Application of Geographic Information System (GIS) and Remote Sensing in Quantifying Snow Cover and Precipitation in Kabul Basin

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