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科研机构
地理科学与资源研究所 [4]
内容类型
SCI/SSCI论文 [4]
发表日期
2016 [3]
2014 [1]
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Using pedotransfer functions to estimate soil hydraulic conductivity in the Loess Plateau of China
SCI/SSCI论文
2016
作者:
Zhao C. L.
;
Shao, M. A.
;
Jia, X. X.
;
Nasir, M.
;
Zhang, C. C.
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2016/12/16
Saturated soil hydraulic conductivity
Loess Plateau
Artificial neural
network
Multiple linear regression
Stability
artificial neural-networks
particle-size distribution
physical-properties
water conservation
bulk-density
prediction
inference
variables
patterns
systems
Pedotransfer Functions for Estimating Soil Bulk Density: A Case Study in the Three-River Headwater Region of Qinghai Province, China
SCI/SSCI论文
2016
作者:
Yi X. S.
;
Li, G. S.
;
Yin, Y. Y.
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2017/11/09
alpine soil
artificial neural network
multiple linear regression
organic carbon
soil depth
soil texture
artificial neural-network
water-retention curves
organic-matter
content
hydraulic conductivity
forest soils
ignition loss
carbon
classification
prediction
taxonomy
Pedotransfer Functions for Estimating Soil Bulk Density: A Case Study in the Three-River Headwater Region of Qinghai Province, China
SCI/SSCI论文
2016
作者:
Yi X. S.
;
Li, G. S.
;
Yin, Y. Y.
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2016/12/16
alpine soil
artificial neural network
multiple linear regression
organic carbon
soil depth
soil texture
artificial neural-network
water-retention curves
organic-matter
content
hydraulic conductivity
forest soils
ignition loss
carbon
classification
prediction
taxonomy
Prediction of Bulk Density of Soils in the Loess Plateau Region of China
SCI/SSCI论文
2014
Wang Y. Q.
;
Shao M. A.
;
Liu Z. P.
;
Zhang C. C.
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2014/12/24
Pedotransfer functions
Loessial soil
Artificial neural network
Multiple regression
Topography
saturated hydraulic conductivity
artificial neural-networks
pedotransfer functions
water retention
quality
conservation
attributes
parameters
regression
texture
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