Risk assessment of snow disaster for trunk highway transportation in Shaanxi, China

Qi, Hongliang; Tian, Wei; Zhao, Fei

doi:10.1007/s11069-016-2584-6

Cited by 9 publications

(4 citation statements)

References 2 publications

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“…This process enabled the classification of snow disaster risks on arterial highways into five distinct grades. They proposed a distribution pattern for snow disaster risks in Shaanxi Province, with their findings closely aligning with actual circumstances [9]. Xu et al leveraged daily temperature and precipitation data from meteorological stations on the QTP to compile a snow disaster event dataset.…”

Section: Introductionmentioning

confidence: 86%

Snow Disaster Risk Assessment Based on Long-Term Remote Sensing Data: A Case Study of the Qinghai–Tibet Plateau Region in Xizang

Sun,

Miao,

Feng

et al. 2024

Remote Sensing

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The risk analysis and assessment of snow disasters are essential foundational tasks in natural disaster management and profoundly impact the scientific and precise formulation of disaster prevention, preparedness, and mitigation strategies. Employing the theory and methodology of snow disaster assessment, this research focuses on historical and potential snow disasters in the Qinghai–Tibetan Plateau (QTP) Region. Utilizing a long-time-series snow depth remote sensing dataset, we extracted six assessment indicators for historical snow disaster risk factors and potential snow disaster risk factors. We determined the weights of these six assessment indicators using the entropy weight method. Subsequently, we established a snow disaster assessment model to evaluate the grade distribution of snow disasters in the study area. This method can effectively solve the problem of the sparse data distribution of meteorological stations and reflect degrees of snow disaster risk on a large spatial scale. The findings reveal that areas with a relatively high snow disaster risk are primarily concentrated in the western part of the Ali Region, the central part of Chamdo, and near the border in Southern Xizang. Additionally, regions with a high frequency of snow disasters are predominantly located at the junction of Nagchu, Chamdo, and Nyingchi in the eastern part of Xizang. These results contribute valuable insights into the risk assessment of snow disasters and facilitate the development of effective strategies for disaster management in the region.

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Section: Introductionmentioning

confidence: 86%

Snow Disaster Risk Assessment Based on Long-Term Remote Sensing Data: A Case Study of the Qinghai–Tibet Plateau Region in Xizang

Sun,

Miao,

Feng

et al. 2024

Remote Sensing

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“…The risk of specific geohazards in the corridor should be considered in the decision of highway planning, and it can provide a reference for alternatives selection (Shang et al 2005;Qi et al 2017;Behnia and Blais-Stevens 2018;Zhao et al 2018). The types and distribution of geohazards in the corridor should also be analyzed to evaluate the construction difficulty and the investment scale from a macro perspective.…”

Section: Geohazards Assessment Indicatorsmentioning

confidence: 99%

Geohazards regionalization along highways in Shandong Province, China

Yang

Zhao

Cheng

2020

Geomatics, Natural Hazards and Risk

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The disturbance of the highway construction to the terrain and the natural environmental factors are the main causes of the geohazards along the highway. We collected geohazards along the highway in Shandong Province and put forward the comprehensive geohazard index to reflect the risk of geohazards along the highway. The index consists of an intensity index describing the development of geohazards and a sensitivity index describing the potential risk of geohazards. The article uses an incomplete additive language matrix to calculate the weight of each index and factor. Based on the Getis-Ord Gi Ã statistic tool, the spatial distribution of landslides and collapses, debris flows, ground collapses, and unstable slopes are analyzed, and the geohazard intensity index is calculated by spatial superposition. The relationship between slope gradient, rainfall, vegetation coverage, rock type and geohazards is analyzed, and the geohazard sensitivity index is calculated by spatial superposition. Based on the comprehensive geohazard index and geomorphological characteristics, Shandong Province is divided into 4 geohazard first-level regions and 11 geohazard second-level regions, providing a basis for highway planning and construction.

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“…However, the majority of risk assessment methods rely on a qualitative assessment approach, which usually requires experienced experts to judge items, such as the analytic hierarchy process (AHP) method [9] and index weight method [10]. Even some studies that claim to use quantitative risk assessment (QRA) methods [11][12][13] fail to quantify specific economic losses or casualties, particularly for railway engineering with complex facilities and exposure to multi-hazard risks.…”

Section: Introductionmentioning

confidence: 99%

Disaster Risk Assessment for Railways: Challenges and a Sustainable Promising Solution Based on BIM+GIS

Cao,

Lan,

2023

Sustainability

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Natural hazards constantly threaten the sustainable construction and operation of railway engineering facilities, making railway disaster risk assessment an essential approach to disaster prevention. Despite numerous studies that have focused on railway risk assessment, few have quantified specific damages, such as economic losses and human casualties. Meanwhile, the mechanism of impact damage from various disasters on railway facilities and the propagation of functional failure in railway systems have not been thoroughly summarized and addressed. Thus, it is essential to conduct effective quantitative risk assessments (QRAs) to facilitate the sustainable design, construction, and operation of rail infrastructure. This paper aimed to review and discuss the systematic development of risk assessment in railway engineering facilities. Firstly, we highlighted the importance of disaster QRA for railway facilities. Next, numerous limitations of QRA methods were concluded after conducting a comprehensive review of the risk assessment research applied to railway facilities, such as bridges, tunnels, and roadbeds. Furthermore, true QRA (TQRA) application in railway engineering has faced several significant challenges. Therefore, we proposed a promising TQRA strategy for railway engineering facilities based on the integration of building information modeling (BIM) and geographic information systems (GIS). The proposed BIM+GIS technology is expected to provide sustainable future directions for railway engineering QRA procedures.

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Risk assessment of snow disaster for trunk highway transportation in Shaanxi, China

Cited by 9 publications

References 2 publications

Snow Disaster Risk Assessment Based on Long-Term Remote Sensing Data: A Case Study of the Qinghai–Tibet Plateau Region in Xizang

Snow Disaster Risk Assessment Based on Long-Term Remote Sensing Data: A Case Study of the Qinghai–Tibet Plateau Region in Xizang

Geohazards regionalization along highways in Shandong Province, China

Disaster Risk Assessment for Railways: Challenges and a Sustainable Promising Solution Based on BIM+GIS

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