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成都山地灾害与环境研... [2]
大连理工大学 [1]
深圳先进技术研究院 [1]
华南理工大学 [1]
武汉大学 [1]
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会议论文 [6]
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The Preliminary Research of Guojuanyan Debris Flow Characteristics and Prevention Measures Post-Earthquake
会议论文
Guangzhou, DEC 12-13, 2015
作者:
Yang Shun
;
Huang Hai
;
Pan Huali
;
Liu Jiankang
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浏览/下载:2/0
  |  
提交时间:2020/08/20
debris flow
formation conditions
activity characteristics
prevention measures
Hydrological Frequency Calculation Principle of Inconsistent Flood Series Based on Nonlinear Trend Analysis
会议论文
作者:
Li, Xi'nan
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浏览/下载:2/0
  |  
提交时间:2019/12/05
Formation conditions and risk evaluation of glacial debris flow disasters along International Karakorum Highway (KKH)
会议论文
Padua, 2011
作者:
Yang, Zhiquan
;
Zhu, Yingyan
;
Zou, D.H. Steve
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  |  
浏览/下载:19/0
  |  
提交时间:2018/11/08
2008 wenchuan earthquakes
3D laser scanning system
Assessment and monitoring
Debris flows
Development feature
Disaster prevention and mitigations
Field observations
Niujuan Gully
Analysis and dynamic simulation of urban rainstorm waterlogging
会议论文
Proceedings of SPIE - The International Society for Optical Engineering, v 7841, n 1, 2010, Sixth International Symposium on Digital Earth: Data Processing and Applications
作者:
Xingquan Liu
;
Wei Liu
;
Jinxing Hu
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浏览/下载:10/0
  |  
提交时间:2015/08/21
Optimal operation of a reservoir for flood control and recharging groundwater and its risk analysis
会议论文
9th International Symposium on River Sedimentation, Yichang, PEOPLES R CHINA
作者:
Zheng, DF
;
Wang, BD
;
Dong, SH
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浏览/下载:1/0
  |  
提交时间:2020/01/02
flood control
recharging groundwater
Stochastic dynamic programming
risk
frequency analysis
reservoir
Flood frequency analysis and calculation of the Bayesian model and parameters based on the Pareto distribution (EI收录)
会议论文
5th International Institute of Statistics and Management Engineering Symposium 2012: Data-Driven Management Science under Developing, IISMES 2012, Dalian City, China, July 20, 2012 - July 25, 2012
作者:
Li, Xierui[1]
;
Zhang, Lijie[2]
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浏览/下载:0/0
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提交时间:2019/04/15
Bayesian networks
Flood control
Management science
Pareto principle
Reliability analysis
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