中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An innovative approach to evaluate debris flow scale-activity across diverse aridity zones: Fusion of image recognition and geomorphometric analysis

文献类型:期刊论文

作者Jiang, Zhenni6,7; Wang, Jiao5,7; Zhang, Guotao3,4; Cui, Peng7; Yang, Can6,7; Zhang, Yifan6,7; Zhang, Bo7; Li, Chaoyue3,4; Wang, Hao7; Liu, Jie1,2
刊名CATENA
出版日期2025-03-01
卷号250页码:16
关键词Debris flow Hazard evaluation Image recognition Geomorphological analysis Arid region
ISSN号0341-8162
DOI10.1016/j.catena.2025.108753
英文摘要

Debris flows, which can be ferocious in mountainous regions, have been increasingly rampant in arid areas, threatening nearby residents and properties. Inadequate high-quality data, labor-intensive image interpretation, inefficient field surveys, and traditional singular-variable analyses underscore the necessity for an integrative and efficient approach to evaluate debris flow scales and activities. Thus, an integrative debris flow scale-activity assessment methodology is developed, composed of parameters commonly studied and those feasible for extraction from accessible sources, leveraging dynamic avulsion of fans with distinct morphometry and boulder visibility in images. Resultantly, channel number, fan size, maximum critical shear stress, and debris flow event frequency are acquired as potential index parameters via geomorphometric analysis and image segmentation. The composite index generation, established based on these parameters and principal component analysis, is highly effective and accurate, benefiting from program efficiency, interpretation-based error control, parameter validation, and data preservation. Comprehensively, three types of debris flow processes were identified in the study region, distinguished by water content and sediment composition. Parameter and index results reveal considerable spatial-temporal disparities, complex relationships, and clustering patterns (Moran's I = 0.08) across debris flow and aridity types owing to environmental variances. The index (degree) exhibits an increasing-decreasing transition from low-index hyper-concentrated flows to high-index debris floods and debris flows and declines to less impactful debris floods as aridity decreases due to different sediment and water discharge and source. Generally, high indices tend to concentrate in the southern and glacierized northern valleys, exhibiting medium impact ranges, high maximum critical shear stress, and dynamic channel activities regarding channel quantities and event frequencies. Hence, the results correlate with debris flow formation criteria and mechanisms, suggesting a reliable composite indicator for debris flow assessment and providing guidance for debris-flow risk mitigation.

WOS关键词CHALK CLIFFS ; ITALIAN ALPS ; MAGNITUDE ; INITIATION ; PREDICTION ; MODEL ; CLASSIFICATION ; CATCHMENT ; SUSCEPTIBILITY ; VEGETATION
资助项目National Natural Science Foundation of China[42101088] ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK0906] ; Outstanding young talents-young scientific and technologically innovative talents[2023TSYCCX0108] ; Xinjiang Communications Investment Group's 2023 leading talent science and technology project[XJJTZKXFWCG2023120476] ; Research Fund of Xinjiang Transportation Planning, Survey and Design Institute[KY202312102303] ; [U20A20112]
WOS研究方向Geology ; Agriculture ; Water Resources
语种英语
WOS记录号WOS:001418177500001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP) ; Outstanding young talents-young scientific and technologically innovative talents ; Xinjiang Communications Investment Group's 2023 leading talent science and technology project ; Research Fund of Xinjiang Transportation Planning, Survey and Design Institute
源URL[http://ir.imde.ac.cn/handle/131551/58752]  
专题成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
通讯作者Wang, Jiao
作者单位1.Minist Transport, Key Lab Highway Engn Technol Arid & Desert Reg, Urumqi 83001, Peoples R China
2.Xinjiang Transportat Planning Survey & Design Inst, Urumqi 830006, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
5.China Pakistan Joint Res Ctr Earth Sci, CAS HEC, Islamabad 45320, Pakistan
6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
7.Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
推荐引用方式
GB/T 7714
Jiang, Zhenni,Wang, Jiao,Zhang, Guotao,et al. An innovative approach to evaluate debris flow scale-activity across diverse aridity zones: Fusion of image recognition and geomorphometric analysis[J]. CATENA,2025,250:16.
APA Jiang, Zhenni.,Wang, Jiao.,Zhang, Guotao.,Cui, Peng.,Yang, Can.,...&Yang, Zhiwei.(2025).An innovative approach to evaluate debris flow scale-activity across diverse aridity zones: Fusion of image recognition and geomorphometric analysis.CATENA,250,16.
MLA Jiang, Zhenni,et al."An innovative approach to evaluate debris flow scale-activity across diverse aridity zones: Fusion of image recognition and geomorphometric analysis".CATENA 250(2025):16.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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