中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Analysis of Debris Flow Triggering Conditions for Different Rainfall Patterns Based on Satellite Rainfall Products in Hengduan Mountain Region, China

文献类型:期刊论文

作者Li, Jing1,2; Liu, Zhaofei1,2; Wang, Rui1,2; Zhang, Xingxing1,2; Liu, Xuan1,2; Yao, Zhijun1,2
刊名REMOTE SENSING
出版日期2022-06-01
卷号14期号:12页码:21
关键词satellite rainfall product debris flow rainfall threshold Hengduan Mountain region
DOI10.3390/rs14122731
通讯作者Liu, Zhaofei(zfliu@igsnrr.ac.cn)
英文摘要Rainfall is the main factor that induces debris flow. Satellite rainfall products provide a new source of data in terms of debris flow-triggering conditions to overcome the lack of rainfall data coverage from ground-based rainfall gauges in large-scale mountainous regions. In this study, the applicability of four satellite rainfall products (CMORPH, GPM, MSWEP, and PERSIANN) in the Hengduan Mountain region (HMR) was evaluated with reference to ground observation data from 2000 to 2020. The critical rainfall and rainfall thresholds under different rainfall patterns and warning levels that trigger debris flows were analyzed according to the empirical cumulative distribution function (ECDF) and cumulative probability. The results showed that CMORPH (comprehensive indicator score (CI = 0.72) and GPM (CI = 0.70) performed better in the simulation of daily rainfall sequence consistency and extreme rainfall conditions in the study area. CMORPH also had the highest reconstruction rate for correctly capturing rainfall events that triggered debris flows, with a value of 89%. Approximately half of the rainfall patterns that cause debris flows are antecedent-effective-rainfall-dominated. Both intraday-rainfall-dominated and intraday-antecedent-rainfall-balanced patterns were below 30%. There were evident differences in the critical rainfall for different rainfall patterns under the same warning level. By comparing the results of previous studies on rainfall thresholds, it is believed that the results of this study confirm the application of satellite rainfall products; in addition, the calculated rainfall thresholds can provide a reference for the early warning of debris flows in the HMR. In general, this work is of great significance to the prediction and early warning of debris flow hazards.
WOS关键词PRECIPITATION PRODUCTS ; SOIL-MOISTURE ; ANTECEDENT RAINFALL ; LANDSLIDE HAZARD ; RUNOFF MODELS ; THRESHOLDS ; UNCERTAINTY ; TEMPERATURE ; PREDICTION ; INITIATION
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23090302] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20060202]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000816107100001
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/180111]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Zhaofei
作者单位1.Chinese Acad Sci, 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
Li, Jing,Liu, Zhaofei,Wang, Rui,et al. Analysis of Debris Flow Triggering Conditions for Different Rainfall Patterns Based on Satellite Rainfall Products in Hengduan Mountain Region, China[J]. REMOTE SENSING,2022,14(12):21.
APA Li, Jing,Liu, Zhaofei,Wang, Rui,Zhang, Xingxing,Liu, Xuan,&Yao, Zhijun.(2022).Analysis of Debris Flow Triggering Conditions for Different Rainfall Patterns Based on Satellite Rainfall Products in Hengduan Mountain Region, China.REMOTE SENSING,14(12),21.
MLA Li, Jing,et al."Analysis of Debris Flow Triggering Conditions for Different Rainfall Patterns Based on Satellite Rainfall Products in Hengduan Mountain Region, China".REMOTE SENSING 14.12(2022):21.

入库方式: OAI收割

来源:地理科学与资源研究所

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