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 |
DOI | 10.3390/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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