Comprehensive assessment of geological hazard safety along railway engineering using a novel method: a case study of the Sichuan-Tibet railway, China

Wang, Weidong; Han, Zheng

doi:10.1080/19475705.2019.1699606

Cited by 40 publications

(16 citation statements)

References 50 publications

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“…Based on K j v n 0i , K j v n 0 and K j (v 0 ), we can determine the rating of the evaluated risks. The calculating processes are the same, and we exemplified the calculation by determining the rating of the overall risk of the project s. It can be gained after the normalization using Equations (14) and (15).…”

Section: Determining the Ratings Of The Wsersmentioning

confidence: 99%

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A Comprehensive Assessment Approach for Water-Soil Environmental Risk during Railway Construction in Ecological Fragile Region Based on AHP and MEA

Chen

Wang

et al. 2020

Sustainability

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With China’s government facilitating railway projects, more railway lines inevitably pass through ecological fragile regions (EFRs). Railway construction activities in EFRs might cause detrimental impacts on the local water-soil environment (WSE), which is the basis of the local ecological system that if destroyed can induce secondary disasters. Studies on the WSE risk (WSER) during railway construction in EFRs are limited. As such, this study aims to offer preliminary insight into the WSER assessment of railway construction in EFRs. WSERs were identified firstly based on the literature review and field surveys, and thus a risk index framework for WSER assessment including 5 categories of WSERs and 16 second-order risks was established. Then a comprehensive quantitative assessment method was developed by integrating analytic hierarchy process (AHP) and matter-element analysis (MEA) to assess the overall WSERs of railway construction in EFRs. A case (i.e., the Mingan subproject of Hefei-Fuzhou railway) was selected to demonstrate and validate the developed approach. Results show that the proposed assessment approach can be applied to evaluate the WSERs during railway construction. In addition, the case study demonstrates that the risk of construction methods should be the key focus. Findings from this study enrich the knowledge body of sustainable railways and guide the project managers to conduct practical WSER assessment of railway construction.

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Section: Determining the Ratings Of The Wsersmentioning

confidence: 99%

“…Meanwhile, large scales of earthworks further decrease the stability of local mountains and hills, which may induce geological hazards such as landslides and debris flows. [15]. In summary, railway construction is likely to further strengthen the vulnerability of local WSE in EFRs.…”

Section: Introductionmentioning

confidence: 97%

A Comprehensive Assessment Approach for Water-Soil Environmental Risk during Railway Construction in Ecological Fragile Region Based on AHP and MEA

Chen

Wang

et al. 2020

Sustainability

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“…The LRM is a statistical model used to predict the probability of a categorical occurrence using one or more independent variables [47]. The purpose of LRM is to obtain the relationship between a dependent variable and multiple independent variables that have been identified.…”

Section: Lrmmentioning

confidence: 99%

Exploring the Impact of Multitemporal DEM Data on the Susceptibility Mapping of Landslides

Wang

Han

et al. 2020

Applied Sciences

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Digital elevation models (DEMs) are fundamental data models used for susceptibility assessment of landslides. Due to landscape change and reshaping processes, a DEM can show obvious temporal variation and has a significant influence on assessment results. To explore the impact of DEM temporal variation on hazard susceptibility, the southern area of Sichuan province in China is selected as a study area. Multitemporal DEM data spanning over 17 years are collected and the topographic variation of the landscape in this area is investigated. Multitemporal susceptibility maps of landslides are subsequently generated using the widely accepted logistic regression model (LRM). A positive correlation between the topographic variation and landslide susceptibility that was supported by previous studies is quantitatively verified. The ratio of the number of landslides to the susceptibility level areas (RNA) in which the hazards occur is introduced. The RNA demonstrates a general decrease in the susceptibility level from 2000 to 2009, while the ratio of the decreased level is more than fifteen times greater than that of the ratio of the increased level. The impact of the multitemporal DEM on susceptibility mapping is demonstrated to be significant. As such, susceptibility assessments should use DEM data at the time of study.

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“…The difficulty of constructing Sichuan-Tibet Railway is due to the steep terrain, complex geological settings, active tectonics and the numerous triggered natural hazards that exist in the southeastern Tibetan Plateau [1], [2]. In particular, the railway is often affected by the squeezed and uplifted plates, fragile geological conditions and rock fragmentation, and river erosion [3]. Landslides are typical natural hazards that occurred along the railway, resulting in frequent river blockage and flooding, which can directly affect the planning and construction of the railway [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Perception of Coseismic Landslide Migration Areas Along Sichuan–Tibet Railway

Shi¹,

Lü²

2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The geological conditions along Sichuan-Tibet Railway are complex, and frequently-occurred landslides have brought severe challenges to the railway construction. Therefore, a complete and accurate landslide perception can provide references for railway route selection and landslide risk governance. In this study, we utilized change vector analysis (CVA), principal component analysis (PCA) and independent component analysis (ICA) for change detection images (CDIs) generation, and then adopted the multi-threshold method to produce the training sample templates for landslides and non-landslides, respectively. The Markov Random Field (MRF) algorithm was further used to extract the optimal landslide objects. In particular, we tested the performance of the proposed approach using the Sentinel-2 datasets in a rapid perception of the co-seismic landslides for the Nyingchi event that occurred on 18 November 2017 and affected the railway construction. We further calculated completeness, correctness, accuracy, F1-score and Kappa coefficient, for a quantitative evaluation of landslide perception results. We found that the ICA-based change detection in MRF can extract landslides more completely and accurately. This study set up with the aim to assess the effectiveness and applicability of the proposed method in mapping landslide migration areas under complex geological conditions along the Sichuan-Tibet railway, which offers a comprehensively intelligent approach to supporting the hazard mitigation for a safe railway construction and operation.

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Comprehensive assessment of geological hazard safety along railway engineering using a novel method: a case study of the Sichuan-Tibet railway, China

Cited by 40 publications

References 50 publications

A Comprehensive Assessment Approach for Water-Soil Environmental Risk during Railway Construction in Ecological Fragile Region Based on AHP and MEA

A Comprehensive Assessment Approach for Water-Soil Environmental Risk during Railway Construction in Ecological Fragile Region Based on AHP and MEA

Exploring the Impact of Multitemporal DEM Data on the Susceptibility Mapping of Landslides

Intelligent Perception of Coseismic Landslide Migration Areas Along Sichuan–Tibet Railway

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