Definition of an Operative Methodology for the Management of Rockfalls along with the Road Network

Giordan, Daniele; Cignetti, Martina; Godone, Danilo; Bertolo, Davide; Paganone, Marco

doi:10.3390/su13147669

Cited by 7 publications

(2 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to its unique natural scenery and cultural landscape, Taihang Grand Canyon Scenic Area (GCSA) is considered one of the "top ten most beautiful grand canyons in China", attracting more than four million tourists every year. Due to the unique geomorphic conditions in the Taihang GCSA, frequent rockfall events pose a major threat to the safe operation of the scenic spot [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Rockfall Hazard Assessment in the Taihang Grand Canyon Scenic Area Integrating Regional-Scale Identification of Potential Rockfall Sources

Zhan

Liu

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

Frequent rockfall events pose a major threat to the safe operation of the Taihang Grand Canyon Scenic Area (GCSA) in China. The traditional techniques for identifying potential rockfall sources and hazard assessment methods are often challenged in the alpine canyon landform. This study aims to establish an early identification framework for regional potential rockfall sources applicable to the canyon region and to assess rockfall hazards in potentially hazardous areas using unmanned aerial vehicle (UAV) photogrammetry. Specifically, by incorporating high-precision topographic information and geotechnical properties, the slope angle distribution method was used for static identification of potential rockfall sources. Moreover, SBAS-InSAR technology was used to describe the activity of potential rockfall sources. Finally, taking the key potentially hazardous area of the Sky City scenic spot as an example, the Rockfall Analyst tool was used to analyze the rockfall frequency, bounce height and energy characteristics based on the high-precision UAV 3D real scene model, and the analytic hierarchy process was introduced to achieve quantitative rockfall hazard assessment. The results show that the potential rockfall source areas in the Taihang GCSA is 33.47 km2 (21.47%), mainly distributed in strips on the cliffs on both sides of the canyon, of which the active rockfall source area is 2.96 km2 (8.84%). Taking the scenic spot of Sky City as example, the proposed UAV-based real scene modeling technology was proven to be able to quickly and accurately construct a 3D high-precision model of the canyon area. Moreover, the 3D rockfall simulation showed that the high-energy rockfall area was mainly distributed at the foot of the steep cliff, which mainly threatens the tourist distribution center below. The early identification and quantitative evaluation scheme of rockfall events proposed in this study can provide technical reference for the prevention and control of rockfall hazards in similar alpine valley areas.

show abstract

Section: Introductionmentioning

confidence: 99%

Rockfall Hazard Assessment in the Taihang Grand Canyon Scenic Area Integrating Regional-Scale Identification of Potential Rockfall Sources

Zhan

Liu

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Because human understanding of geological disasters is still in its infancy, many of these issues require further study. Most studies focus on geological hazard risk assessment, vulnerability assessment, susceptibility, geo-hazard monitoring, early warning, and disaster prevention control (e.g., [1][2][3][4][5][6][7][8][9][10]).…”

Section: Introductionmentioning

confidence: 99%

Differentiation Rule and Driving Mechanisms of Collapse Disasters in Changbai County

Qian

Zang

2022

Sustainability

View full text Add to dashboard Cite

The differentiation rule and driving mechanisms of collapse disasters in various regions are unclear, and the results from existing methods of research are not sufficiently scientific. To reveal the nature of collapse disasters, this study utilized data from the 1:50,000 geological disaster investigation results database, 1:50,000 topographic data, and TM images. Topography, human activity intensity, rock mass structure, hydrological conditions, vegetation status, and meteorological conditions were used as indicators in the DEA model to analyze their validity and to explore the differentiation law and driving mechanisms of the highway slope along the YaLu river, a location of frequent geological disasters in Changbai County. In the analysis process, each index was quantitatively graded, i.e., the number of disaster points corresponding to each index was used as an input index, and the number of disaster points and the scale and stability of disaster points corresponding to the graded quantitative index were used as the output indexes. The results of the analysis of the study area indicate that there are significant differences in geological disasters due to different regional characteristics. We carried out three evaluations and performed spatial superposition analysis of the indicators corresponding to the effective values and the regional collapse points. The driving factors of collapse disasters can be divided into three categories, namely the impact of human activities, rainfall, and gravity stress. The GIS analysis and mapping found that the collapse points located to the south of the Grand Canyon of Changbai County were primarily affected by rainfall. Additionally, the areas affected by activity intensity are mostly concentrated in county towns with concentrated populations and road slopes.

show abstract

Explainable Machine Learning Model for Rockfall Susceptibility Evaluation

Wen

Zhang

et al. 2023

Geo-Risk 2023

View full text Add to dashboard Cite

Definition of an Operative Methodology for the Management of Rockfalls along with the Road Network

Cited by 7 publications

References 51 publications

Rockfall Hazard Assessment in the Taihang Grand Canyon Scenic Area Integrating Regional-Scale Identification of Potential Rockfall Sources

Rockfall Hazard Assessment in the Taihang Grand Canyon Scenic Area Integrating Regional-Scale Identification of Potential Rockfall Sources

Differentiation Rule and Driving Mechanisms of Collapse Disasters in Changbai County

Explainable Machine Learning Model for Rockfall Susceptibility Evaluation

Contact Info

Product

Resources

About