A hydrology-process based method for correlating debris flow density to rainfall parameters and its application on debris flow prediction
文献类型：期刊论文
| 作者 | Long Kui1,2; Zhang Shaojie1 ; Wei Fangqiang1; Hu Kaiheng1; Zhang Qun3; Luo Yu3
|
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2020-10 |
| 卷号 | 589页码:125124 |
| 关键词 | Debris flow Early warning Antecedent rainfall Rainfall intensity |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2020.125124 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Antecedent effective rainfall (Ar) and rainfall intensity (I) play an important role in the formation process of debris flow. Establishing Ar-I threshold curve of debris flow is hence of great importance for early warning purpose. However, conventional statistical models require sufficient observation data, which is not feasible for developing countries without adequate field observation stations. To this end, a hydrology-process based method is proposed to construct the Ar-I threshold. In this model, debris flow is considered as a soil-water mixture composed of solid and water, the loose solid sources contributing to debris flow is provided by the rainfall-induced shallow landslide, and the water is from rainfall-induced runoff. A necessity of having the characteristics of debris flow is that the density of water-soil mixture should approximate to the density of debris flow ranging from 1.2 to 2.3 g/cm(3). The value of 1.2 and 2.3 g/cm(3), which represent lower and upper borders of the density of debris flow, is used as the threshold for predicting debris flow. The task of the model is to find out the rainfall parameters that correlate with the border value of density and use the searched data of rainfall parameters to fit corresponding curves. Verification of the proposed threshold was conducted based on field observation data of Jiangjia Gully located in Yunnan Province, China, which indicates the false negative and false positive rates of the threshold are 26.7% and 15%, respectively. The precision of the threshold is evaluated as 82.6% by the Receiver Operator Characteristics method, which can provide a solution for debris flow early warning. |
| 电子版国际标准刊号 | 1879-2707 |
| 语种 | 英语 |
| WOS记录号 | WOS:000568830400012 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/46283]  |
| 专题 | 成都山地灾害与环境研究所_山地灾害与地表过程重点实验室 |
| 通讯作者 | Zhang Shaojie |
| 作者单位 | 1.Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; 2.University of Chinese Academy of Sciences, Beijing 100049, China; 3.Sichuan Institute of Land and Space Ecological Restoration and Geological Hazard Prevention, Chengdu 610041, China |
| 推荐引用方式 GB/T 7714 | Long Kui,Zhang Shaojie,Wei Fangqiang,et al. A hydrology-process based method for correlating debris flow density to rainfall parameters and its application on debris flow prediction[J]. JOURNAL OF HYDROLOGY,2020,589:125124. |
| APA | Long Kui,Zhang Shaojie,Wei Fangqiang,Hu Kaiheng,Zhang Qun,&Luo Yu.(2020).A hydrology-process based method for correlating debris flow density to rainfall parameters and its application on debris flow prediction.JOURNAL OF HYDROLOGY,589,125124. |
| MLA | Long Kui,et al."A hydrology-process based method for correlating debris flow density to rainfall parameters and its application on debris flow prediction".JOURNAL OF HYDROLOGY 589(2020):125124. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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