Role of rainfall temporal distribution on effective infiltration in the loess slope and prediction model
文献类型：期刊论文
| 作者 | Lin, Gan5; Lan, Hengxing3,4,5; Li, Ping2,5; Li, Langping1,4; Liu, Shijie5; Sun, Weifeng5 |
| 刊名 | ENGINEERING GEOLOGY
 |
| 出版日期 | 2024-06-01 |
| 卷号 | 335页码:12 |
| 关键词 | Rainfall temporal distribution Shallow landslides Rainfall infiltration depth Loess slope Prediction model |
| ISSN号 | 0013-7952 |
| DOI | 10.1016/j.enggeo.2024.107541 |
| 产权排序 | 2 |
| 英文摘要 | Rainfall is one of the main causes of landslides, particularly in the Loess Plateau. When rainfall occurs, rainfall thresholds can be used to predict whether it will cause landslides in monitoring and early-warning system. However, most rainfall thresholds are established based on constant rainfall processes. Therefore, this study takes the temporal distribution of rainfall into account in rainfall threshold studies and proposes four well-delineated temporal distribution types and an innovative three-step model. Rainfall thresholds are derived from 45 months of rainfall data and slope moisture data obtained through in-situ monitoring of the loess slope in Yan'an city, northwest China. Our analysis focuses on effective rainfall infiltration rather than shallow landslides as the monitoring index for thresholds. The results revealed a total of 189 rainfall events over the course of 45 months. Among these, 167 were classified as ineffective rainfall events with an infiltration depth of <10 cm, while 22 were categorized as effective rainfall events with an infiltration depth exceeding 10 cm, accounting for only 11.6% of the total. In this study, the temporal distribution of rainfall was classified into four types: transitory, constant, unimodal, and multimodal. Analysis of the monitoring data showed that transitory rainfall events were all effective, constant rainfall events were mostly effective (> 76%), unimodal rainfall events were 86.7% effective, and all multimodal rainfall events were effective, with the deepest infiltration depth. A three-step method was employed to establish thresholds for different types of rainfall. Firstly, cumulative rainfall exceeding 34 mm at a single time point was considered the most effective rainfall. Secondly, multimodal or constant rainfall with a constant value of A(c) > 3.5 mm/3 h and a peak value of A(p) > 9.5 mm/3 h was deemed the most effective rainfall. Lastly, a temperature difference T-r during rainfall below 7.7 degrees C was indicative of mostly ineffective rainfall. The model demonstrated an accuracy of 96%, as validated by existing monitoring data in the nearby loess area. This model has been demonstrated to be superior to previous model and is currently suitable for application in loess regions of China. |
| WOS关键词 | SHALLOW LANDSLIDES ; DURATION CONTROL ; INTENSITY ; STABILITY |
| 资助项目 | National Natural Science Foundation of China[42041006] ; National Natural Science Foundation of China[41927806] ; National Natural Science Foundation of China[41941019] ; Second Tibetan Plateau Scientific Expedition and Research (STEP) program[2019QZKK0904] ; Fundamental Research Funds for the Central Universities, CHD[300102262901] |
| WOS研究方向 | Engineering ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001294201000001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research (STEP) program ; Fundamental Research Funds for the Central Universities, CHD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/209160]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Lan, Hengxing |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Minist Educ, Water Cycle & Geol Environm Observat & Res Stn Loe, Zhengning 745300, Peoples R China 3.Changan Univ, Minist Nat Resources, Key Lab Ecol Geol & Disaster Prevent, Xian 710054, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Changan Univ, Sch Geol Engn & Geomat, Xian 710054, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin, Gan,Lan, Hengxing,Li, Ping,et al. Role of rainfall temporal distribution on effective infiltration in the loess slope and prediction model[J]. ENGINEERING GEOLOGY,2024,335:12. |
| APA | Lin, Gan,Lan, Hengxing,Li, Ping,Li, Langping,Liu, Shijie,&Sun, Weifeng.(2024).Role of rainfall temporal distribution on effective infiltration in the loess slope and prediction model.ENGINEERING GEOLOGY,335,12. |
| MLA | Lin, Gan,et al."Role of rainfall temporal distribution on effective infiltration in the loess slope and prediction model".ENGINEERING GEOLOGY 335(2024):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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