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:108753 |
| 关键词 | Debris flow Hazard evaluation Image recognition Geomorphological analysis Arid region |
| ISSN号 | 0341-8162 |
| DOI | 10.1016/j.catena.2025.108753 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 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. |
| URL标识 | 查看原文 |
| WOS关键词 | CHALK CLIFFS ; ITALIAN ALPS ; MAGNITUDE ; INITIATION ; PREDICTION ; MODEL ; CLASSIFICATION ; CATCHMENT ; SUSCEPTIBILITY ; VEGETATION |
| WOS研究方向 | Geology ; Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001418177500001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/212364]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 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,2025,250:108753. |
| 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,250,108753. |
| 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):108753. |
入库方式： OAI收割
来源：地理科学与资源研究所
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