Automatic calculation method of material source volume for debris flow channels

doi:10.13474/j.cnki.11-2246.2025.1123

Abstract

Abstract: The calculation of debris flow material source volume is crucial for disaster risk assessment and the formulation of emergency response measures.Traditional volume measurement methods often rely on ground surveys or simple remote sensing analyses,which are time-consuming and lack sufficient accuracy,making them unsuitable for rapid response demands.This study proposes an automatic calculation method for debris flow source volume based on high-precision airborne LiDAR data.Firstly,digital elevation models and orthophotos are imported into Earth Survey software to obtain the basic vector files of debris flow channels.Secondly,B-spline curves of the material sources in debris flow channels are constructed using these files,and the predicted basal surface of the debris flow material sources is generated by fitting the basal surface.Finally,the source volume of the debris flow channels is calculated using calculus methods and compared with two-phase DEM differencing data to validate the accuracy.Using Youyi village in Luding county,Sichuan province as the study area,results show that for the 21 interpreted debris flow channels,9 are selected for validation,achieving an average accuracy of over 80%.This method provides robust support for disaster risk management and the development of emergency response plans.

Key words: airborne LiDAR, debris flow, source volume, automatic calculation, luding eart-hquake

CLC Number:

P237

XU Yingjie, DONG Xiujun, DENG Bo, QIU Chengyue. Automatic calculation method of material source volume for debris flow channels[J]. Bulletin of Surveying and Mapping, 2025, 0(11): 146-153.

References

[1] 许强.对地质灾害隐患早期识别相关问题的认识与思考[J].武汉大学学报(信息科学版),2020,45(11): 1651-1659.
[2] 游勇,吴积善,程尊兰.蒋家沟下游泥石流导流堤冲决原因及防治对策[J].灾害学,2001,16(2):15-18.
[3] 陈宁生,黄娜.普格县荞窝镇8.8泥石流灾害应急调查研究[J].山地学报,2018,36(3): 482-487.
[4] 崔鹏,马东涛,陈宁生,等.冰湖溃决泥石流的形成、演化与减灾对策[J].第四纪研究,2003,23(6): 621-628.
[5] 彭仕雄,陈卫东.泥石流危险性三要素评估方法[J].岩石力学与工程学报,2018,37(S1): 3542-3549.
[6] 杨志华,兰恒星,张永双,等.强震区震后地质灾害长期活动性研究综述[J].地质力学学报,2017,23(5): 743-753.
[7] 张友谊,袁亚东,顾成壮.震区泥石流物源储量评价方法综述[J].山地学报,2020,38(3): 394-401.
[8] 周必凡.泥石流防治指南[M].北京: 科学出版社,1991.
[9] HUNGR O,MCDOUGALL S,BOVIS M.Entrainment of material by debris flows[M]//Debris-flow Hazards and Related Phenomena.Berlin,Heidelberg: Springer,2007: 135-158.
[10] 乔建平,黄栋,杨宗佶,等.汶川地震极震区泥石流物源动储量统计方法讨论[J].中国地质灾害与防治学报,2012,23(2): 1-6.
[11] LIN C W,SHIEH C L,YUAN B D,et al.Impact of Chi-Chi earthquake on the occurrence of landslides and debris flows: example from the Chenyulan River watershed,Nantou[J].Engineering Geology,2004,71(1/2): 49-61.
[12] 唐川,丁军,梁京涛.汶川震区北川县城泥石流源地特征的遥感动态分析[J].工程地质学报,2010,18(1): 1-7.
[13] 梁京涛.高烈度地震区典型地质灾害遥感早期识别及震后演化特征研究[D].成都: 成都理工大学,2018.
[14] 董秀军,邓博,袁飞云,等.航空遥感在地质灾害领域的应用: 现状与展望[J].武汉大学学报(信息科学版),2023,48(12): 1897-1913.
[15] 马晓雪,吴中海,李家存.LiDAR技术在地质环境中的主要应用与展望[J].地质力学学报,2016,22(1): 93-103.
[16] 宋静园,刘洋,董秀军,等.“9.5”泸定地震人口密集区域同震滑坡空间分布规律[J/OL].地质科技通报,2023: 1-12.(2023-12-13).https://link.cnki.net/doi/10.19509/j.cnki.dzkq.tb20230619.
[17] 韩建锋,焦润成,南赟,等.基于D-InSAR技术的泸定地震形变场提取与震后灾害防治[J].城市地质,2023,18(1): 104-109.
[18] 刘小莎.植被茂密山区泥石流物源LiDAR精细识别与体积计算方法研究及应用[D].成都: 成都理工大学,2022.
[19] JABOYEDOFF M,CARREA D,DERRON M H,et al.A review of methods used to estimate initial landslide failure surface depths and volumes[J].Engineering Geology,2020,267: 105478.