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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究... [11]
采集方式
OAI收割 [11]
内容类型
SCI/SSCI论... [11]
发表日期
2016 [3]
2015 [1]
2014 [1]
2012 [2]
2011 [1]
2010 [3]
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共11条,第1-10条
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内容类型:SCI/SSCI论文
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Selection of relevant input variables in storm water quality modeling by multiobjective evolutionary polynomial regression paradigm
SCI/SSCI论文
OAI收割
2016
作者:
Creaco E.
;
Berardi, L.
;
Sun, S. A.
;
Giustolisi, O.
;
Savic, D.
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2017/11/09
calibration data selection
neural-network models
resources
applications
turbidity measurements
sensitivity
performance
algorithms
prediction
loads
epr
Selection of relevant input variables in storm water quality modeling by multiobjective evolutionary polynomial regression paradigm
SCI/SSCI论文
OAI收割
2016
作者:
Creaco E.
;
Berardi, L.
;
Sun, S. A.
;
Giustolisi, O.
;
Savic, D.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2016/12/16
calibration data selection
neural-network models
resources
applications
turbidity measurements
sensitivity
performance
algorithms
prediction
loads
epr
Designing an Experiment to Investigate Subpixel Mapping as an Alternative Method to Obtain Land Use/Land Cover Maps
SCI/SSCI论文
OAI收割
2016
作者:
Ge Y.
;
Jiang, Y.
;
Chen, Y. H.
;
Stein, A.
;
Jiang, D.
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2017/11/09
subpixel mapping
downscaling
land use/land cover
experimental design
markov-random-field
remote-sensing imagery
hopfield neural-network
shifted images
sensed imagery
pixel
constraints
dependence
resolution
pattern
Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications
SCI/SSCI论文
OAI收割
2015
作者:
Song X. M.
;
Zhang, J. Y.
;
Zhan, C. S.
;
Xuan, Y. Q.
;
Ye, M.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2015/12/09
Global method
Hydrological model
Parameter optimization
Sensitivity
analysis
Uncertainty analysis
complex environmental-model
distributed watershed models
artificial
neural-network
groundwater-flow system
rainfall-runoff models
uncertainty analysis
parameter sensitivity
morris method
identifiability analysis
correlated parameters
The intensity change of urban development land: Implications for the city master plan of Guangzhou, China
SCI/SSCI论文
OAI收割
2014
Gong J. Z.
;
Chen W. L.
;
Liu Y. S.
;
Wang J. Y.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2014/12/24
Land-use intensity
Urban development land
City master plan
Guangzhou
driving forces
policy
management
complexity
landscape
region
impact
A high-accuracy method for filling voids and its verification
SCI/SSCI论文
OAI收割
2012
Yue T. X.
;
Chen C. F.
;
Li B. L.
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2012/09/04
shuttle radar topography
digital elevation models
interpolation
methods
srtm
mission
height
validation
altimetry
density
Assessment of debris flow hazards using a Bayesian Network
SCI/SSCI论文
OAI收割
2012
作者:
Liang W. J.
;
Zhuang D. F.
;
Jiang D.
;
Pan J. J.
;
Ren H. Y.
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2014/12/24
Debris Flow Hazard
Bayesian Network
Hazard Assessment
Chinese
Mainland
Shallow Landslide Susceptibility
Artificial Neural-networks
Hong-kong
Natural Slopes
Lantau Island
Water-quality
Gis
Prediction
Mountains
Inventory
Mapping runoff based on hydro-stochastic approach for the Huaihe River Basin, China
SCI/SSCI论文
OAI收割
2011
作者:
Xia J.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2012/06/08
kriging method
hydro-stochastic
runoff
water balance
Huaihe River
Basin
united-states
streamflow
interpolation
precipitation
elevation
rainfall
Assessment of Catastrophic Risk Using Bayesian Network Constructed from Domain Knowledge and Spatial Data
SCI/SSCI论文
OAI收割
2010
Li L. F.
;
Wang J. F.
;
Leung H.
;
Jiang C. S.
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2012/06/08
Bayesian network
domain knowledge
risk analysis
spatial data mining
gis
Skin cancer incidence is highly associated with ultraviolet-B radiation history
SCI/SSCI论文
OAI收割
2010
Chang N. B.
;
Feng R.
;
Gao Z. Q.
;
Gao W.
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2012/06/08
UV-B
UV exposure
Skin cancer incidence
Skin cancer risk
Melanoma
risk
Satellite data
Nimbus-7/TOMS
Regional variation
Spatiotemporal
analysis
Environmental health
melanoma risk
uv-radiation
northern
models