Uncovering the Spatiotemporal Evolution and Driving Factors of Flash Flood in the Qinghai-Tibet Plateau
文献类型：期刊论文
| 作者 | Li, Chaoyue5; Feng, Xinyu4; Zhang, Guotao5; Wang, Zhonggen3; Jin, Wen2; Li, Chengjie1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2026-03-26 |
| 卷号 | 18期号:7页码:996 |
| 关键词 | flash floods spatiotemporal evolution driving factors human activities Third Pole multi-source data and methods |
| DOI | 10.3390/rs18070996 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Highlights What are the main findings? Flash floods exhibit exponential growth, especially in the headwaters of the five major rivers. The seasonal movement trajectory of the center of gravity of flash floods is directional. Soil moisture content and human activities are the predominant drivers of flash flood occurrence. What are the implications of the main findings? This study provides a practical and reproducible blueprint for investigating flood dynamics from both natural and anthropogenic perspectives by integrating interpretable machine learning with Random Forest analyses. The results provide a scientific underpinning for understanding the mechanisms of flash flood generation in High Mountain Asia, advancing monitoring and early-warning research, and informing the implementation of disaster prevention and mitigation strategies.Highlights What are the main findings? Flash floods exhibit exponential growth, especially in the headwaters of the five major rivers. The seasonal movement trajectory of the center of gravity of flash floods is directional. Soil moisture content and human activities are the predominant drivers of flash flood occurrence. What are the implications of the main findings? This study provides a practical and reproducible blueprint for investigating flood dynamics from both natural and anthropogenic perspectives by integrating interpretable machine learning with Random Forest analyses. The results provide a scientific underpinning for understanding the mechanisms of flash flood generation in High Mountain Asia, advancing monitoring and early-warning research, and informing the implementation of disaster prevention and mitigation strategies.Abstract Frequent flash floods threaten human well-being, hydropower infrastructure, and ecosystems. However, the long-term evolution of flash flood patterns over recent decades remains insufficiently understood, particularly in data-scarce high-altitude regions. Using multi-source remote sensing data integrated with historical disaster records and field investigations, this study examined the spatiotemporal evolution and driving factors of flash floods across the Qinghai-Tibet Plateau (QTP). The results indicate that flash floods have increased exponentially, which may be influenced by disaster management policies, with peaks in July-August and frequent occurrences from April to September. The seasonal trajectory of the center of gravity of flash floods from April to September exhibited a clear directional pattern. Regions with the highest disaster density were concentrated in the headwaters of five major rivers, including the Yarlung Zangbo, Jinsha, Nu, Lancang, and Yellow Rivers. Shapley Additive Explanation (SHAP) and Random Forest analyses reveal that soil moisture, anthropogenic intensity, and seasonal runoff variability are the dominant driving factors. With ongoing socioeconomic development, intensified human activities have become a key contributor to the increasing frequency of flash floods. These findings highlight the value of remote sensing-based assessments for flash flood monitoring and early warning and provide scientific support for risk mitigation, loss reduction, and the advancement of water-related targets under the United Nations' Sustainable Development Goals. |
| URL标识 | 查看原文 |
| WOS关键词 | CLIMATE ; PREDICTION ; IMPACT |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001738938900001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221572]  |
| 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 | Zhang, Guotao |
| 作者单位 | 1.Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China 2.Minist Emergency Management, Natl Disaster Reduct Ctr China, Beijing 100124, Peoples R China; 3.Minist Emergency Management, Natl Inst Nat Disaster Prevent, Beijing 100085, Peoples R China; 4.Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China; 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Mt Hazards & Engn Resilience, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Li, Chaoyue,Feng, Xinyu,Zhang, Guotao,et al. Uncovering the Spatiotemporal Evolution and Driving Factors of Flash Flood in the Qinghai-Tibet Plateau[J]. REMOTE SENSING,2026,18(7):996. |
| APA | Li, Chaoyue,Feng, Xinyu,Zhang, Guotao,Wang, Zhonggen,Jin, Wen,&Li, Chengjie.(2026).Uncovering the Spatiotemporal Evolution and Driving Factors of Flash Flood in the Qinghai-Tibet Plateau.REMOTE SENSING,18(7),996. |
| MLA | Li, Chaoyue,et al."Uncovering the Spatiotemporal Evolution and Driving Factors of Flash Flood in the Qinghai-Tibet Plateau".REMOTE SENSING 18.7(2026):996. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。