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Simulation study of rockfall deposition based on UAV-PCAS-PFC: a case study on the rockfall deposition of Xiaomaopo in Kaiyang County

This study developed a rockfall simulation method based on the actual rock block accumulation size. The terrain data and orthophoto map were obtained based on post-event high-precision UAV aerial image data, and digital image processing methods were used to identify the rock block sizes of rockfall...

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Published in:Arabian journal of geosciences 2022-03, Vol.15 (6), Article 468
Main Authors: Xu, Jinxing, Yang, Genlan, Qin, Yigen, Liang, Feng
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creator Xu, Jinxing
Yang, Genlan
Qin, Yigen
Liang, Feng
description This study developed a rockfall simulation method based on the actual rock block accumulation size. The terrain data and orthophoto map were obtained based on post-event high-precision UAV aerial image data, and digital image processing methods were used to identify the rock block sizes of rockfall deposits. The sizes of the sedimentary rockfall blocks were recorded in a field survey. The distribution law of the rock block size was compared using field statistics and image recognition. Based on the topographic data and rock block accumulation size, a three-dimensional (3D) particle flow code was used to simulate the deposition process and characteristics of the rockfall. The research results showed that the distance of the rockfall deposit is approximately 480 m and the average width is approximately 86 m. Rockfall deposits were mainly composed of white and gray-white dolomite blocks, which were deposited along the slope in a strip shape with a deposition direction of 142°. The elevation of the upper deposit near the source area was 1290 m, and the elevation difference was 180 m. The rockfall deposit forms the main deposition area, secondary deposition area, and rockfall area. The deposits are mainly composed of small-sized rock blocks, and their rock block size generally obeys the inverse model. Along the stacking direction, the proportion of the small-sized rock blocks shows a decreasing trend. The proportions of medium-sized and large-sized rock blocks show a bimodal situation with two peaks, and the change curve is an irregular “M” shape. The simulation results showed that the slope movement process, from obvious deformation to sedimentation after instability, is about 22.5 s, and the main slip time is about 18.0 s. Along the depth direction, as the depth increases, the composition of small-sized rock blocks increases, while the composition of large-sized and medium-sized rock blocks decreases. However, a reverse granular hierarchical structure appears in the sediments. The research results are consistent with the actual accumulation status of rockfalls, and related research methods provide a reference for quantitative risk assessment of rockfalls.
doi_str_mv 10.1007/s12517-022-09740-w
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The terrain data and orthophoto map were obtained based on post-event high-precision UAV aerial image data, and digital image processing methods were used to identify the rock block sizes of rockfall deposits. The sizes of the sedimentary rockfall blocks were recorded in a field survey. The distribution law of the rock block size was compared using field statistics and image recognition. Based on the topographic data and rock block accumulation size, a three-dimensional (3D) particle flow code was used to simulate the deposition process and characteristics of the rockfall. The research results showed that the distance of the rockfall deposit is approximately 480 m and the average width is approximately 86 m. Rockfall deposits were mainly composed of white and gray-white dolomite blocks, which were deposited along the slope in a strip shape with a deposition direction of 142°. The elevation of the upper deposit near the source area was 1290 m, and the elevation difference was 180 m. The rockfall deposit forms the main deposition area, secondary deposition area, and rockfall area. The deposits are mainly composed of small-sized rock blocks, and their rock block size generally obeys the inverse model. Along the stacking direction, the proportion of the small-sized rock blocks shows a decreasing trend. The proportions of medium-sized and large-sized rock blocks show a bimodal situation with two peaks, and the change curve is an irregular “M” shape. The simulation results showed that the slope movement process, from obvious deformation to sedimentation after instability, is about 22.5 s, and the main slip time is about 18.0 s. Along the depth direction, as the depth increases, the composition of small-sized rock blocks increases, while the composition of large-sized and medium-sized rock blocks decreases. However, a reverse granular hierarchical structure appears in the sediments. 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The terrain data and orthophoto map were obtained based on post-event high-precision UAV aerial image data, and digital image processing methods were used to identify the rock block sizes of rockfall deposits. The sizes of the sedimentary rockfall blocks were recorded in a field survey. The distribution law of the rock block size was compared using field statistics and image recognition. Based on the topographic data and rock block accumulation size, a three-dimensional (3D) particle flow code was used to simulate the deposition process and characteristics of the rockfall. The research results showed that the distance of the rockfall deposit is approximately 480 m and the average width is approximately 86 m. Rockfall deposits were mainly composed of white and gray-white dolomite blocks, which were deposited along the slope in a strip shape with a deposition direction of 142°. The elevation of the upper deposit near the source area was 1290 m, and the elevation difference was 180 m. The rockfall deposit forms the main deposition area, secondary deposition area, and rockfall area. The deposits are mainly composed of small-sized rock blocks, and their rock block size generally obeys the inverse model. Along the stacking direction, the proportion of the small-sized rock blocks shows a decreasing trend. The proportions of medium-sized and large-sized rock blocks show a bimodal situation with two peaks, and the change curve is an irregular “M” shape. The simulation results showed that the slope movement process, from obvious deformation to sedimentation after instability, is about 22.5 s, and the main slip time is about 18.0 s. Along the depth direction, as the depth increases, the composition of small-sized rock blocks increases, while the composition of large-sized and medium-sized rock blocks decreases. However, a reverse granular hierarchical structure appears in the sediments. The research results are consistent with the actual accumulation status of rockfalls, and related research methods provide a reference for quantitative risk assessment of rockfalls.</description><subject>Accumulation</subject><subject>Area</subject><subject>Composition</subject><subject>Deformation</subject><subject>Deposits</subject><subject>Digital imaging</subject><subject>Direction</subject><subject>Dolomite</subject><subject>Dolostone</subject><subject>Earth and Environmental Science</subject><subject>Earth science</subject><subject>Earth Sciences</subject><subject>Elevation</subject><subject>Image processing</subject><subject>Object recognition</subject><subject>Original Paper</subject><subject>Research methods</subject><subject>Risk assessment</subject><subject>Rockfall</subject><subject>Rocks</subject><subject>Sediments</subject><subject>Shape</subject><subject>Simulation</subject><subject>Statistical methods</subject><subject>Structural hierarchy</subject><subject>Surveying</subject><subject>Three dimensional flow</subject><subject>Unmanned aerial vehicles</subject><issn>1866-7511</issn><issn>1866-7538</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kNtKAzEQhoMoWKsv4FXA62gOzSbrXVk8YcFCrXgXsrtJ3dpuarJL2QfwvY1dDzciDMzA_N8_zA_AKcHnBGNxEQjlRCBMKcKpGGG03QMDIpMECc7k_s9MyCE4CmGJcSKxkAPwPqvW7Uo3lathaNqyg85C74pXq1crWJqNC9VumetgShiH-fgJTbPxDE2vs0uoYREX32gNmxfzJx5dnyvt1tptHKxqeK-rTtcLmLm2brpjcBCBYE6--hDMr68es1s0ebi5y8YTVFCMJTLWCpEnxBYslxYLk4tEMi0EozknhuZmJEqbpERylsYXTWo4K_KU2liaWDYEZ73vxru31oRGLV3r63hS0YQJLlLCeVTRXlV4F4I3Vm18tda-UwSrz7hVH7eKcatd3GobIdZDIYrrhfG_1v9QH-cwhAw</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Xu, Jinxing</creator><creator>Yang, Genlan</creator><creator>Qin, Yigen</creator><creator>Liang, Feng</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>20220301</creationdate><title>Simulation study of rockfall deposition based on UAV-PCAS-PFC: a case study on the rockfall deposition of Xiaomaopo in Kaiyang County</title><author>Xu, Jinxing ; Yang, Genlan ; Qin, Yigen ; Liang, Feng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2008-eff77b61fc3b8f07eb7683a7732b51e2be47df6918539006e9e53cb92f92fa1f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accumulation</topic><topic>Area</topic><topic>Composition</topic><topic>Deformation</topic><topic>Deposits</topic><topic>Digital imaging</topic><topic>Direction</topic><topic>Dolomite</topic><topic>Dolostone</topic><topic>Earth and Environmental Science</topic><topic>Earth science</topic><topic>Earth Sciences</topic><topic>Elevation</topic><topic>Image processing</topic><topic>Object recognition</topic><topic>Original Paper</topic><topic>Research methods</topic><topic>Risk assessment</topic><topic>Rockfall</topic><topic>Rocks</topic><topic>Sediments</topic><topic>Shape</topic><topic>Simulation</topic><topic>Statistical methods</topic><topic>Structural hierarchy</topic><topic>Surveying</topic><topic>Three dimensional flow</topic><topic>Unmanned aerial vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Jinxing</creatorcontrib><creatorcontrib>Yang, Genlan</creatorcontrib><creatorcontrib>Qin, Yigen</creatorcontrib><creatorcontrib>Liang, Feng</creatorcontrib><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><jtitle>Arabian journal of geosciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Jinxing</au><au>Yang, Genlan</au><au>Qin, Yigen</au><au>Liang, Feng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simulation study of rockfall deposition based on UAV-PCAS-PFC: a case study on the rockfall deposition of Xiaomaopo in Kaiyang County</atitle><jtitle>Arabian journal of geosciences</jtitle><stitle>Arab J Geosci</stitle><date>2022-03-01</date><risdate>2022</risdate><volume>15</volume><issue>6</issue><artnum>468</artnum><issn>1866-7511</issn><eissn>1866-7538</eissn><abstract>This study developed a rockfall simulation method based on the actual rock block accumulation size. The terrain data and orthophoto map were obtained based on post-event high-precision UAV aerial image data, and digital image processing methods were used to identify the rock block sizes of rockfall deposits. The sizes of the sedimentary rockfall blocks were recorded in a field survey. The distribution law of the rock block size was compared using field statistics and image recognition. Based on the topographic data and rock block accumulation size, a three-dimensional (3D) particle flow code was used to simulate the deposition process and characteristics of the rockfall. The research results showed that the distance of the rockfall deposit is approximately 480 m and the average width is approximately 86 m. Rockfall deposits were mainly composed of white and gray-white dolomite blocks, which were deposited along the slope in a strip shape with a deposition direction of 142°. The elevation of the upper deposit near the source area was 1290 m, and the elevation difference was 180 m. The rockfall deposit forms the main deposition area, secondary deposition area, and rockfall area. The deposits are mainly composed of small-sized rock blocks, and their rock block size generally obeys the inverse model. Along the stacking direction, the proportion of the small-sized rock blocks shows a decreasing trend. The proportions of medium-sized and large-sized rock blocks show a bimodal situation with two peaks, and the change curve is an irregular “M” shape. The simulation results showed that the slope movement process, from obvious deformation to sedimentation after instability, is about 22.5 s, and the main slip time is about 18.0 s. Along the depth direction, as the depth increases, the composition of small-sized rock blocks increases, while the composition of large-sized and medium-sized rock blocks decreases. However, a reverse granular hierarchical structure appears in the sediments. The research results are consistent with the actual accumulation status of rockfalls, and related research methods provide a reference for quantitative risk assessment of rockfalls.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s12517-022-09740-w</doi></addata></record>
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subjects Accumulation
Area
Composition
Deformation
Deposits
Digital imaging
Direction
Dolomite
Dolostone
Earth and Environmental Science
Earth science
Earth Sciences
Elevation
Image processing
Object recognition
Original Paper
Research methods
Risk assessment
Rockfall
Rocks
Sediments
Shape
Simulation
Statistical methods
Structural hierarchy
Surveying
Three dimensional flow
Unmanned aerial vehicles
title Simulation study of rockfall deposition based on UAV-PCAS-PFC: a case study on the rockfall deposition of Xiaomaopo in Kaiyang County
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