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Ecosystem health assessment in debris flow-prone areas: A case study of Bailong River Basin in China
期刊论文
Journal of Cleaner Production, 2022, 卷号: 357
Authors:
Zhou, Yanyan
;
Yue, DX(岳东霞)
;
Li, Shuangying
;
Liang, Geng
;
Chao, Zengzu
;
Zhao, Yan
;
Meng, XM(孟兴民)
Favorite
  |  
View/Download:15/0
  |  
Submit date:2022/07/01
Catchments
Cluster analysis
Debris
Decision making
Ecosystems
Health
Hierarchical systems
Land use
Rivers
Runoff
Bailong river basin
Debris flows
Ecological health
Ecosystem health
Ecosystem services
Health assessments
Health indices
Regional differences
River basins
Spatial correlations
Ecosystem health assessment in debris flow-prone areas: A case study of Bailong River Basin in China
期刊论文
JOURNAL OF CLEANER PRODUCTION, 2022, 卷号: 357
Authors:
Zhou, Yanyan
;
Yue, DX(岳东霞)
;
Li, Shuangying
;
Liang, Geng
;
Chao, Zengzu
;
Zhao, Yan
;
Meng, XM(孟兴民)
Favorite
  |  
View/Download:13/0
  |  
Submit date:2022/07/25
Ecosystem health
Ecosystem services
Debris flow
Bailong River Basin
Ecosystem health assessment in debris flow-prone areas: A case study of Bailong River Basin in China
期刊论文
JOURNAL OF CLEANER PRODUCTION, 2022, 卷号: 357
Authors:
Zhou, Yanyan
;
Yue, DX(岳东霞)
;
Li, Shuangying
;
Liang, Geng
;
Chao, Zengzu
;
Zhao, Yan
;
Meng, XM(孟兴民)
Favorite
  |  
View/Download:14/0
  |  
Submit date:2022/07/01
Ecosystem health
Ecosystem services
Debris flow
Bailong River Basin
考虑优势流作用的降雨入渗边坡可靠度分析
期刊论文
岩土力学, 2022, 期号: 08, 页码: 1-12
Authors:
姚云琦
;
曾润强
;
马建花
;
孟祥沛
;
王鸿
;
张宗林
;
孟兴民
Favorite
  |  
View/Download:12/0
  |  
Submit date:2022/07/01
无限边坡模型
降雨入渗
双重渗透模型
边坡可靠度
蒙特卡洛模拟
Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China
期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 12
Authors:
Zhou, Yanyan
;
Yue, DX(岳东霞)
;
Liang, Geng
;
Li, Shuangying
;
Zhao, Yan
;
Chao, Zengzu
;
Meng, XM(孟兴民)
Favorite
  |  
View/Download:11/0
  |  
Submit date:2022/07/25
risk assessment
hazard
vulnerability
debris flows
Bailong River Basin
Probabilistic rainfall threshold of landslides in Data-Scarce mountainous Areas: A case study of the Bailong River Basin, China
期刊论文
CATENA, 2022, 卷号: 213
Authors:
Jiang, Wanyu
;
Chen, G(陈冠)
;
Meng, XM(孟兴民)
;
Jin, Jiacheng
;
Zhao, Yan
;
Lin, Linxin
;
Li, YJ(李亚军)
;
Zhang, Y(张毅)
Favorite
  |  
View/Download:16/0
  |  
Submit date:2022/07/01
Landslide rainfall threshold
Downscaling
Landslide susceptibility map
Bailong River Basin
Bayes' theorem
Characterization and quantitative evaluation of preferential infiltration in loess, based on a soil column field test
期刊论文
CATENA, 2022, 卷号: 213
Authors:
Ma, Jianhua
;
Zeng, Runqiang
;
Yao, Yunqi
;
Meng, XM(孟兴民)
;
Meng, Xiangpei
;
Zhang, Zonglin
;
Wang, H(王洪)
;
Zhao, Shufen
Favorite
  |  
View/Download:7/0
  |  
Submit date:2022/07/25
Loess
Soil column infiltration test
Preferential infiltration characteristics
Improved Green-Ampt model
Quantitative research
Characterization and quantitative evaluation of preferential infiltration in loess, based on a soil column field test
期刊论文
CATENA, 2022, 卷号: 213
Authors:
Ma, Jianhua
;
Zeng, Runqiang
;
Yao, Yunqi
;
Meng, XM(孟兴民)
;
Meng, Xiangpei
;
Zhang, Zonglin
;
Wang, H(王洪)
;
Zhao, Shufen
Favorite
  |  
View/Download:6/0
  |  
Submit date:2022/07/25
Loess
Soil column infiltration test
Preferential infiltration characteristics
Improved Green-Ampt model
Quantitative research
Graph-Represented Broad Learning System for Landslide Susceptibility Mapping in Alpine-Canyon Region
期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 12
Authors:
Xu, Lili
;
Chen, C. L. Philip
;
Qing, Feng
;
Meng, XM(孟兴民)
;
Zhao, Yan
;
Qi, Tianjun
;
Miao, Tianyao
Favorite
  |  
View/Download:12/0
  |  
Submit date:2022/07/25
landslide
alpine-canyon region
susceptibility mapping
Laplacian matrix
broad learning system
Zhouqu County
Extracting more features from rainfall data to analyze the conditions triggering debris flows
期刊论文
LANDSLIDES, 2022
Authors:
Zhao, Yan
;
Meng, XM(孟兴民)
;
Qi, Tianjun
;
Chen, G(陈冠)
;
Li, YJ(李亚军)
;
Yue, DX(岳东霞)
;
Qing, Feng
Favorite
  |  
View/Download:14/0
  |  
Submit date:2022/07/01
Debris flows
Rainfall features
Triggering conditions
Early warning