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| A projection calibration method of landslide particles image recognition and its application |
| YANG Zheng1，CUI Shenghua2，QIN Liang3，GUO Ning1，XU Xiangning4，MENG Minghui3，XIANG Guoping4，YANG Qingwen2 |
(1. School of Civil and Hydraulic Engineering，Xichang University，Xichang，Sichuan 615000，China；2. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection，Chengdu University of Technology，Chengdu，Sichuan 610059，China；3. Sichuan Huadi Construction Engineering Co. Ltd.，Chengdu，Sichuan 610081，China；4. 405 Geological Brigade of Sichuan
Bureau of Geology and Mineral Resources，Dujiangyan，Sichuan 611830，China) |
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Abstract Broken strata landslide is one of the typical disaster types in southwest mountainous area of China. The landslide material is mainly composed of broken particles and has strong fluidity and disaster-causing ability. The study of particle distributions in the landslide area is helpful to disaster range prediction and disaster prevention. Based on UAV photography and image recognition technology，this paper introduced the correction coefficient of the projection area，Ki，to realize non-uniform plane projection and deformation correction，aiming at the problem of particle projection deformation caused by the angle between the projection plane and the terrain，and so as to obtain the statistical characteristics of particles more accurately. Taking the Aerzhai landslide in Longxi Township，Wenchuan County on April 8，2018 as an example，the number of landslide particles，location parameters，projection areas and correction areas were obtained by the proposed method. The characteristics of the landslide particle size and the particle spatial distribution，the longitudinal and transverse motion patterns of the landslide，the spatial distribution of particles in vertical and horizontal directions，the crushing and sorting of particles during longitudinal motion，the potential energy driving characteristics and the inertia advantage of huge particles were analyzed. The results show that the accumulation area of Aerzhai landslide has higher proportion of small particles and better sorting than the sliding source area. With increasing the moving distance，the proportion of small particles increases and the sorting becomes better. The motion of huge particles with a ratio of 2.4% has significant potential energy driving characteristics，and the distance of movement is farther than that of small particles. At the same time，huge particles also have obvious inertial advantage，concentrated in the central area of landslide accumulation.
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[1] 王 品，徐则民. 头寨大型高速远程滑坡碎屑流堆积体的粒度组成[J]. 山地学报，2013，31(6)：745–752.(WANG Pin，XU Zemin. The grain size composition of Touzhai rock-avalanche deposits[J]. Journal of Mountain Science，2013，31(6)：745–752.(in Chinese))
[2] HSÜ K. J. Catastrophic debris streams(sturzstroms) generated by rockfalls[J]. Geological Society of America Bulletin，1975，86(1)：129–140.
[3] DAVIES T R H. Spreading of rock avalanche debris by mechanical fluidization[J]. International Journal of Rock Mechanics and Mining Sciences，1982，15(1)：9–24.
[4] KENT P E. The transport mechanism in catastrophic rock falls[J]. Journal of Geology，1966，74(1)：79–83.
[5] 王光谦，倪晋仁. 颗粒流研究评述[J]. 力学与实践，1992，(1)：7–9.(WANG Guangqian，NI Jinren. Research overview on particle flow[J]. Mechanics in Engineering，1992，(1)：7–9.(in Chinese))
[6] EISBACHER G. H. Cliff collapse and rock avalanches(sturzstroms) in the Mackenzie Mountains，northwestern Canada[J]. Canadian Geotechnical Journal，2011，16(2)：309–334.
[7] SASSA K. Special lecture：geotechnical model for the motion of landslides：Proc 5th International Symposium on Landslides，Lausanne，10–15 July 1988 V1，P37–55. Publ Rotterdam：A A Balkema，1988[J]. International Journal of Rock Mechanics and Mining Sciences and Geomechanics Abstracts，1989，26(2)：88.
[8] MELOSH H. J. Acoustic fluidization[J]. American Scientist，1978，71(B13)：158–168.
[9] DAVIES T R H，MCSAVENEY M J，HODGSON K A. A fragmentation-spreading model for long-runout rock avalanches[J]. Canadian Geotechnical Journal，1999，36(6)：1 096–1 110.
[10] WANG Y F，CHENG Q G，ZHU Q. Surface microscopic examination of quartz grains from rock avalanche base facies[J]. Canadian Geotechnical Journal，2015，52(2)：167–181.
[11] 王玉峰，程谦恭，朱 圻. 汶川地震触发高速远程滑坡–碎屑流堆积反粒序特征及机制分析[J]. 岩石力学与工程学报，2012，31(6)：1 089–1 106.(WANG Yufeng，CHENG Qiangong，ZHU Qi. Inverse grading analysis of deposit from rock avalanches triggered by Wenchuan earthquake[J]. Chinese Journal of Rock Mechanics and Engineering，2012，31(6)：1 089–1 106.(in Chinese))
[12] MITCHELL T，SMITH S，ANDERS M，et al. Catastrophic emplacement of giant landslides aided by thermal decomposition：Heart Mountain，Wyoming[J]. Earth and Planetary Science Letters，2015，411：199–207.
[13] WANG Y F，DONG J J，CHENG Q G. Velocity‐dependent frictional weakening of large rock avalanche basal facies：Implications for rock avalanche hypermobility?[J]. Journal of Geophysical Research：Solid Earth，2017，122(3)：1 648–1 676.
[14] WANG Y F，CHENG Q G，LIN Q W，et al. Insights into the kinematics and dynamics of the Luanshibao rock avalanche(Tibetan Plateau，China) based on its complex surface landforms[J]. Geomorphology，2018，317：170–183.
[15] 姜 云，尹金平. 华蓥山溪口滑坡—碎屑流[J]. 地质灾害与环境保护，1992，(2)：51–58.(JIANG Yun，YIN Jinping. Huayingshan Xikou landslide—debris flow[J]. Journal of Geological Hazards and Environment Preservation，1992，(2)：51–58.(in Chinese))
[16] 郝明辉，许 强，杨兴国，等. 高速滑坡–碎屑流颗粒反序试验及其成因机制探讨[J]. 岩石力学与工程学报，2015，34(3)：472– 479.(HAO Minghui，XU Qiang，YANG Xingguo，et al. Physical modeling tests on inverse grading of particles in high speed landslide debris[J]. Chinese Journal of Rock Mechanics and Engineering，2015，34(3)：472–479.(in Chinese))
[17] HUANG Y，ZHANG W，XU Q，et al. Run-out analysis of flow-like landslides triggered by the Ms 8.0 2008 Wenchuan earthquake using smoothed particle hydrodynamics[J]. landslides，2012，9(2)：275–283.
[18] CROSTA G B，FRATTINI P，FUSI N. Fragmentation in the Val Pola rock avalanche，Italian Alps[J]. Journal of Geophysical Research- Earth Surface，2007，112(F1)：F1006.
[19] 赵 岩，郑娇玉，郭 鹏，等. ImageJ软件在泥石流固体颗粒分析中的应用[J]. 兰州大学学报：自然科学版，2015，51(6)：877–881.(ZHAO Yan，ZHENG Jiaoyu，GUO Peng，et al. Applications of the JmageJ software in analysis of solid grains in a debris flow gully[J]. Journal of Lanzhou University：Natural Sciences，2015，51(6)：877–881.(in Chinese))
[20] 陈 达，许 强，郑 光，等. 基于颗粒识别分析系统的碎屑流堆积物颗粒识别和统计方法研[J]. 水文地质工程地质，2021，48(1)：60–69.(CHEN Da，XU Qiang，ZHENG Guang，et al. Particle identification and statistical method of rock avalanche accumulation body based on Particle Analysis System[J]. Hydrogeology and Engineering Geology，2021，48(1)：60–69.(in Chinese))
[21] 彭双麒，许 强，李骅锦，等. 基于高精度图像识别的堆积体粒径分析[J]. 工程地质学报，2019，27(6)：1 290–1 301.(PENG Shuangqi，XU Qiang，LI Huajin，et al. Grain size distribution analysis of landslide deposits with reliable image identification[J]. Journal of Engineering Geology，2019，27(6)：1 290–1 301.(in Chinese))
[22] 彭双麒，许 强，郑 光，等. 白格滑坡–碎屑流堆积体颗粒识别与分析[J]. 水利水电技术，2020，51(2)：144–154.(PENG Shuangqi，XU Qiang，ZHENG Guang，et al. Recognition and analysis of deposit body grain of Baige Landslide-Debris Flow[J]. Water Resources and Hydropower Engineering，2020，51(2)：144–154.(in Chinese))
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2022, Vol. 41 
