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中国科学院地理科学与资源研究所机构知识库
KMS Institute Of Geographic Sciences And Natural Resources Research,CAS
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Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method
期刊论文
GEODERMA, 2020, 卷号: 369, 页码: 15
Authors:
Yang, Lin
;
Li, Xinming
;
Shi, Jingjing
;
Shen, Feixue
;
Qi, Feng
;
Gao, Binbo
;
Chen, Ziyue
;
Zhu, A-Xing
;
Zhou, Chenghu
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View/Download:27/0
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Submit date:2020/05/19
Conditioned Latin hypercube sampling
Soil mapping
Representativeness
Sample randomness
Utility of Vertically Integrated Liquid Water Content for Radar-Rainfall Estimation: Quality Control and Precipitation Type Classification
期刊论文
ATMOSPHERIC RESEARCH, 2020, 卷号: 236, 页码: 11
Authors:
Seo, Bong-Chul
;
Krajewski, Witold F.
;
Qi, Youcun
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View/Download:9/0
  |  
Submit date:2020/05/19
VIL
Weather radar
Precipitation
Classification
Wind farms
Soil mapping based on assessment of environmental similarity and selection of calculating samples
期刊论文
CATENA, 2020, 卷号: 188, 页码: 16
Authors:
Li, Yao
;
Zhang, Na
;
Li, Run-Kui
;
Liu, Cheng-Yu
;
Shen, Jing
;
Jing, Yong-Cai
Favorite
  |  
View/Download:9/0
  |  
Submit date:2020/05/19
Environmental contrast index
Enhancive predictive coefficient-based soil mapping (EPSM)
Member recruiting process
Uncertainty threshold
Soil-land inference model (SoLIM)
Soil property
Assessing the reliability, resilience and vulnerability of water supply system under multiple uncertain sources
期刊论文
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 252, 页码: 14
Authors:
Ren, Kang
;
Huang, Shengzhi
;
Huang, Qiang
;
Wang, Hao
;
Leng, Guoyong
;
Fang, Wei
;
Li, Pei
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  |  
View/Download:10/0
  |  
Submit date:2020/05/19
Uncertainty
Encounter risk
Synthetic runoff generator
Water resources management
Multi-objective trajectory optimization in planning for sequential activities across space and through time
期刊论文
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2020, 页码: 19
Authors:
Feng, Xin
;
Wang, Shaohua
;
Murray, Alan T.
;
Cao, Yuanpei
;
Gao, Song
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  |  
View/Download:10/0
  |  
Submit date:2020/05/19
Route planning
network analysis
sequential spatial optimization
Representing Model Uncertainty by Multi-Stochastic Physics Approaches in the GRAPES Ensemble
期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2020, 卷号: 37, 期号: 4, 页码: 328-346
Authors:
Xu, Zhizhen
;
Chen, Jing
;
Jin, Zheng
;
Li, Hongqi
;
Chen, Fajing
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  |  
View/Download:8/0
  |  
Submit date:2020/05/19
ensemble prediction
model uncertainty
stochastically perturbed parameterization
multi-stochastic physics approaches
Soil erosion topographic factor (LS): Accuracy calculated from different data sources
期刊论文
CATENA, 2020, 卷号: 187, 页码: 12
Authors:
Lu, Shaojuan
;
Liu, Baoyuan
;
Hu, Yaxian
;
Fu, Suhua
;
Cao, Qi
;
Shi, Yandong
;
Huang, Tingting
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View/Download:8/0
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Submit date:2020/05/19
DEM
LS factor
Computation error
Topographic data source
Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China
期刊论文
ATMOSPHERIC RESEARCH, 2020, 卷号: 234, 页码: 12
Authors:
Wang, Ning
;
Liu, Wenbin
;
Sun, Fubao
;
Yao, Zhihong
;
Wang, Hong
;
Liu, Wanqing
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  |  
View/Download:12/0
  |  
Submit date:2020/05/19
Satellite-based precipitation
Reanalysis-based precipitation
Error correction
Hydrological model
Xihe River Basin
The dynamic benefit compensation in a multi-reservoir system based on importance analysis
期刊论文
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 249, 页码: 12
Authors:
Chen, Yizhong
;
Li, Jing
;
Lu, Hongwei
;
Xia, Jun
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View/Download:9/0
  |  
Submit date:2020/05/19
Multi-reservoir system
Importance analysis
Benefit compensation
System reliability
Satisfaction degree
Permanent wilting point plays an important role in simulating winter wheat growth under water deficit conditions
期刊论文
AGRICULTURAL WATER MANAGEMENT, 2020, 卷号: 229, 页码: 15
Authors:
Yao, Ning
;
Li, Yi
;
Xu, Fang
;
Liu, Jian
;
Chen, Shang
;
Ma, Haijiao
;
Chau, Henry Wai
;
Liu, De Li
;
Li, Meng
;
Feng, Hao
;
Yu, Qiang
;
He, Jianqiang
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  |  
View/Download:9/0
  |  
Submit date:2020/05/19
Winter wheat
Water stress
Permanent wilting point
CERES-Wheat
DSSAT