Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings
文献类型：期刊论文
| 作者 | Jia, Guoqiang1,2; Tang, Qiuhong1,2; Xu, Ximeng1 |
| 刊名 | LANDSLIDES
 |
| 出版日期 | 2019-10-12 |
| 页码 | 17 |
| 关键词 | Rainfall-induced landslides Satellite-based precipitation estimates Landslide warning Empirical rainfall thresholds Skill scores |
| ISSN号 | 1612-510X |
| DOI | 10.1007/s10346-019-01277-6 |
| 通讯作者 | Tang, Qiuhong(tangqh@igsnrr.ac.cn) |
| 英文摘要 | Satellite-based precipitation estimates (SPEs) show great promise for promoting landslide warning and mitigating landslide disaster risk with quasi-global coverage, near real-time monitoring, increasing spatial-temporal resolution, and accuracy. In this study, we evaluated the performances of four SPE products in detecting the initiation of rainfall-induced landslides globally using Hanssen-Kuiper (HK) skill score based on rainfall frequentist thresholds. The results show that SPEs can distinguish rainfall events responsible for landslides from those not related to landslides, suggesting that SPEs can capture rainfall conditions corresponding to landslide occurrence well and are of great use for landslide detecting. Further investigation indicates that performances at the global scale vary with products. CMORPH-3h V1 (HK = 0.43) and TMPA-3B42RT V7 (HK = 0.42) are superior to two other rainfall products with high HK values. Rainfall threshold establishment and evaluation for specific landslide types can improve SPEs' performances in landslide modeling with higher HK values compared to results based on all landslide records. Performances also vary spatially with HK values ranging from 0.1 to 0.9 at a spatial grid of 5 degrees x 5 degrees. Linear relationship analysis reveals the variation in mean annual precipitation can partially explain the heterogeneous spatial distribution of rainfall threshold parameters. These findings serve to promote the application of satellite-based rainfall data in landslide warnings. |
| WOS关键词 | TRIGGERED LANDSLIDES ; SHALLOW LANDSLIDES ; DURATION CONTROL ; THRESHOLDS ; SUSCEPTIBILITY ; SYSTEM ; DEFINITION ; INITIATION ; INTENSITY ; HAZARD |
| 资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences[XDA20060402] ; National Natural Science Foundation of China[41425002] ; National Natural Science Foundation of China[41730645] ; National Natural Science Foundation of China[41790424] ; International Partnership Program of Chinese Academy of Sciences[131A11KYSB20170113] ; Newton Advanced Fellowship |
| WOS研究方向 | Engineering ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000492483700001 |
| 出版者 | SPRINGER HEIDELBERG |
| 资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; International Partnership Program of Chinese Academy of Sciences ; Newton Advanced Fellowship |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/131911]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tang, Qiuhong |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jia, Guoqiang,Tang, Qiuhong,Xu, Ximeng. Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings[J]. LANDSLIDES,2019:17. |
| APA | Jia, Guoqiang,Tang, Qiuhong,&Xu, Ximeng.(2019).Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings.LANDSLIDES,17. |
| MLA | Jia, Guoqiang,et al."Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings".LANDSLIDES (2019):17. |
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。