Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings

doi:10.1007/s10346-019-01277-6

	Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings
	Jia, Guoqiang 1,2; Tang, Qiuhong 1,2; Xu, Ximeng 1
刊名	LANDSLIDES
	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.
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关键词	TRIGGERED LANDSLIDES ; SHALLOW LANDSLIDES ; DURATION CONTROL ; THRESHOLDS ; SUSCEPTIBILITY ; SYSTEM ; DEFINITION ; INITIATION ; INTENSITY ; HAZARD
WOS研究方向	Engineering ; Geology
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000492483700001
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
内容类型	期刊论文
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.