中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
成都山地灾害与环境... [18]
地理科学与资源研究所 [8]
地质与地球物理研究所 [8]
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期刊论文 [31]
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A refined method for the simulation of catchment rainfall-runoff based on satellite-precipitation downscaling
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2025, 卷号: 653, 页码: 15
作者:
Jian, Jihao
;
He, Siming
;
Liu, Wei
;
Liu, Shuang
;
Guo, Liping
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2025/03/24
Deep Learning
Precipitation Downscaling Model
Rainfall-induced Runoff Simulation
Terrain-based Attention Mechanism
Application of MICP in Water Stability and Hydraulic Erosion Control of Phosphogypsum Material in Slope
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2022, 卷号: 12, 期号: 4, 页码: 18
作者:
Tian, Yifan
;
Li, Zhiqing
;
Wang, Shuangjiao
;
Zhou, Yingxin
;
Li, Dandan
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/07/06
phosphogypsum
microbial-induced carbonate precipitation (MICP)
water stability
hydraulic erosion resistance
rainfall scouring test
The relationship of human activities and rainfall-induced landslide and debris flow hazards in Central China
期刊论文
OAI收割
NATURAL HAZARDS, 2021, 页码: 23
作者:
Sun, Liying
;
Ma, Bingjuan
;
Pei, Liang
;
Zhang, Xiaohang
;
Zhou, John L.
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/04/25
Human activities index
Flash flood
Rainfall-induced landslide hazard
Rainfall-induced debris flow hazard
Spatiotemporal variation
The relationship of human activities and rainfall-induced landslide and debris flow hazards in Central China
期刊论文
OAI收割
NATURAL HAZARDS, 2021, 页码: 23
作者:
Sun, Liying
;
Ma, Bingjuan
;
Pei, Liang
;
Zhang, Xiaohang
;
Zhou, John L.
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/04/25
Human activities index
Flash flood
Rainfall-induced landslide hazard
Rainfall-induced debris flow hazard
Spatiotemporal variation
Application and verification of a multivariate real-time early warning method for rainfall-induced landslides: implication for evolution of landslide-generated debris flows
期刊论文
OAI收割
LANDSLIDES, 2020, 页码: DOI: 10.1007/s10346-020-01402-w
作者:
Yang Zongji
;
Wang Liyong
;
Qiao Jianping
;
Uchimura Taro
;
Wang Lin
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2020/04/29
Early warning
Multivariate
Rainfall-induced landslide
Debris flows
Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings
期刊论文
OAI收割
LANDSLIDES, 2019, 页码: 17
作者:
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2020/05/19
Rainfall-induced landslides
Satellite-based precipitation estimates
Landslide warning
Empirical rainfall thresholds
Skill scores
Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings
期刊论文
OAI收割
LANDSLIDES, 2019, 页码: 17
作者:
Jia, Guoqiang
;
Tang, Qiuhong
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2020/05/19
Rainfall-induced landslides
Satellite-based precipitation estimates
Landslide warning
Empirical rainfall thresholds
Skill scores
Debris Flow Risk Assessment Based on a Water-Soil Process Model at the Watershed Scale Under Climate Change: A Case Study in a Debris-Flow-Prone Area of Southwest China
期刊论文
OAI收割
SUSTAINABILITY, 2019, 卷号: 11, 期号: 11, 页码: 15
作者:
Li, Qinwen
;
Lu, Yafeng
;
Wang, Yukuan
;
Xu, Pei
  |  
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2019/08/07
climate change
rainfall-induced debris flow
mechanism model
risk reduction management
Rainfall-induced slope collapse with coupled material point method
期刊论文
OAI收割
ENGINEERING GEOLOGY, 2018, 卷号: 239, 页码: 1-12
作者:
Vardon, P. J.
;
Wang, B.
;
Hicks, M. A.
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2018/12/29
Large deformations
Material point method
Rainfall-induced failure
Slope stability
Unsaturated soils
Clarifying the hydrological mechanisms and thresholds for rainfall-induced landslide: in situ monitoring of big data to unsaturated slope stability analysis
期刊论文
OAI收割
Bulletin of Engineering Geology and the Environment, 2018, 页码: DOI:10.1007/s10064-018-1295-5
作者:
Yang Zongji
;
Cai Huan
;
Shao Wei
;
Huang Dong
;
Uchimura Taro
  |  
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2018/05/23
Rainfall-induced Landslide
Hydrological Mechanism
Multivariate Thresholds
Early Warning
Unsaturated Condition
Big Data