Influence of open-source topographic data on basin-scale flash flood modelling in High Mountain Asia
文献类型：期刊论文
| 作者 | Li, Zhu2,5; Sang, Yan-Fang2,3,4,5; Singh, Vijay P.6; Wang, Yueling2,3,5; Xia, Xilin1; Zhang, Yichi2,3,5 |
| 刊名 | JOURNAL OF HYDROLOGY-REGIONAL STUDIES
 |
| 出版日期 | 2026-06-01 |
| 卷号 | 65页码:103396 |
| 关键词 | Flash flood Hydrodynamic modelling Open-source topographic data Early warning High mountain area |
| DOI | 10.1016/j.ejrh.2026.103396 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Study region A mountain basin in southern High Mountain Asia (HMA). Study focus HMA is susceptible to flash flood hazards, while the difficulty of topographic data acquisition challenges its flash flood modelling. Little attention has been paid to the influence of open-source topographic data on flash flood modelling in the region. In this study, the influences of four open-source topographic data used widely on flash flood modelling were explored. New hydrological insights for the region Results indicated significant influences of these open-source topographic data. The 30-m ASTER GDEM data with unreasonable results were not recommended. At the basin scale, results from 30-m SRTM, 12.5-m ALOS PALSAR and 30-m COP DEM data underestimated the maximum flood depth by -16.04% similar to -5.18%, and 30-m COP DEM data underestimated the maximum flood extent by -3.51% similar to -4.63%. The simulated maximum flood velocity and hydrodynamic force, as important disaster-causing mechanisms of flash floods, exhibited biases of -16.38% similar to 11.92% and -99.46% similar to -5.87%, respectively. At three infrastructure sections concerned, different qualities of three open-source topographic data caused inconsistent biases. The simulated temporal characteristics of the above indicators were consistently delayed by 1.23 similar to 180.22%. Such biases have significant influences on data-scarce basins in HMA, causing underestimated flash flood risk and delayed early warning. In-depth studies of topographic data fusion and bias correction are suggested to improve flash flood modelling. |
| URL标识 | 查看原文 |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001735024600001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221519]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Sang, Yan-Fang |
| 作者单位 | 1.Univ Birmingham, Sch Engn, Birmingham, England 2.Univ Chinese Acad Sci, Beijing 101407, Peoples R China; 3.Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards, Beijing 100085, Peoples R China; 4.Yarlung Zangbo Grand Canyon Water Cycle Monitoring & Res Stn, Linzhi 860000, Peoples R China; 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; 6.6848 Truxton Dr, Dallas, TX 75231, USA; |
| 推荐引用方式 GB/T 7714 | Li, Zhu,Sang, Yan-Fang,Singh, Vijay P.,et al. Influence of open-source topographic data on basin-scale flash flood modelling in High Mountain Asia[J]. JOURNAL OF HYDROLOGY-REGIONAL STUDIES,2026,65:103396. |
| APA | Li, Zhu,Sang, Yan-Fang,Singh, Vijay P.,Wang, Yueling,Xia, Xilin,&Zhang, Yichi.(2026).Influence of open-source topographic data on basin-scale flash flood modelling in High Mountain Asia.JOURNAL OF HYDROLOGY-REGIONAL STUDIES,65,103396. |
| MLA | Li, Zhu,et al."Influence of open-source topographic data on basin-scale flash flood modelling in High Mountain Asia".JOURNAL OF HYDROLOGY-REGIONAL STUDIES 65(2026):103396. |
入库方式： OAI收割
来源：地理科学与资源研究所
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