Geohazards and risk assessment along highway in Sichuan Province, China

Yang, Hong-zhi; Dong, J.C.; Guo, Xincheng

doi:10.1007/s11629-022-7500-9

Cited by 4 publications

(2 citation statements)

References 42 publications

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“…China's vast mountainous regions with complex geological structures experience a high frequency of geological disasters. With the rapid economic development, the mileage of mountain roads has surged, exacerbating challenges in highway slope management and maintenance due to their sheer number, small scale, and linear distribution along highways [1] . During the "14th Five-Year Plan" period, thousands of kilometers of roads are planned for construction or expansion in Zhejiang Province, leading to a proliferation of mountain road slopes.…”

Section: Introductionmentioning

confidence: 99%

Application of UAV 3D Point Cloud Data in Highway Slope Disaster Investigation

Xin,

Feng,

Yiqiang

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The safety and stability of highway slopes have always been critical concerns in highway management and maintenance. However, mountain road slopes, characterized by their small scale, large quantity, and complex geological conditions, pose challenges for effective deformation detection, putting significant pressure on highway management and maintenance. To address the difficulty in identifying hidden hazards of highway slopes in mountainous areas, this study proposes the use of unmanned aerial vehicle (UAV) closed-range photogrammetry technology for slope inspection. The M3C2 (Multiscale Model-to-Model Cloud Comparison) algorithm is employed to accurately calculate differences in multi-phase three-dimensional point cloud data, enabling the detection of overall slope deformation with centimeter-level precision. Field verification conducted on a highway slope in Qingtian County, Zhejiang Province, demonstrated the applicability of UAV 3D point cloud data in investigating highway slope hazards, thereby enhancing inspection efficiency and quality and providing technical support for highway management and maintenance.

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Section: Introductionmentioning

confidence: 99%

Application of UAV 3D Point Cloud Data in Highway Slope Disaster Investigation

Xin,

Feng,

Yiqiang

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…In the field of highway geohazard prevention and control, numerous scholars have primarily focused on conducting causal analyses of geomorphological events occurring on road slopes and mountainous highways. Such analyses have been conducted through theoretical investigations, on-site inspections, and expert scoring methodologies [9][10][11][12][13][14][15]. Leveraging GIS technology, several experts have conducted spatiotemporal distribution studies and risk assessments involving highway incidents such as rockfalls [16][17][18], debris flows [19][20][21], and landslides [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Spatio-Temporal Trends of Geomorphological Incidents Induced by Precipitation on Chinese Highways

Zhang,

Tian,

Song

2024

Atmosphere

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The spatiotemporal distribution of geomorphological incidents was examined in the present study, including the characteristics of obstruction distances and durations, by utilizing nationwide incident mitigation data and precipitation observation records from the period spanning 2019 to 2022. By comparing rainfall features over different temporal scales across various regions, the aim of the present study was to enhance the current comprehension of the patterns through which regional precipitation initiates incidents on highways by comparing rainfall characteristics over distinct temporal scales across diverse geographical areas. The findings indicate that: (1) The spatial distribution of highway incidents in China is significantly correlated with regional natural environments, predominantly concentrated in the southern parts of the country’s second and third topographical terraces. The temporal distribution closely aligns with annual and monthly precipitation patterns, with the majority of occurrences taking place from June to September. Further, notable disparities in the distribution of highway-related incidents were observed among counties across most provinces; (2) National highways experience a notably higher frequency of incidents than expressways and provincial roads, with most obstruction lengths concentrated within 1 km and durations predominantly under 3 days; (3) The probability of daily rainfall inducing highway incidents is distinctly higher than that of short-duration rainfall, with eastern and southern China experiencing significantly greater inducing precipitation volumes than other regions. The majority of areas are susceptible to incidents within a 3-day window following heavy rainfall or within 24 h after intense short-duration rainfall. Moreover, it is observed that incidents are more closely associated with extreme precipitation occurring within a single day; (4) There is a certain lag between the timing of incidents and the occurrence of extreme short-duration heavy rainfall, with the highest frequency of incidents coinciding with continuous rainfall periods of 3 to 6 days.

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Distribution law and susceptibility of geohazards across a gradient belt of the Western Sichuan Plateau

Li,

Wang,

et al. 2024

J. Mt. Sci.

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Geohazards and risk assessment along highway in Sichuan Province, China

Cited by 4 publications

References 42 publications

Application of UAV 3D Point Cloud Data in Highway Slope Disaster Investigation

Application of UAV 3D Point Cloud Data in Highway Slope Disaster Investigation

Exploring the Spatio-Temporal Trends of Geomorphological Incidents Induced by Precipitation on Chinese Highways

Distribution law and susceptibility of geohazards across a gradient belt of the Western Sichuan Plateau

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