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在“
自然资源管理
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命中:
39
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1.
Methods to correct and compute confidence and
prediction
interval
s of models neglecting sub-parameterization heterogeneity - From the ideal toward practice
作者:
Steen Christensen sc@geo.au.dk
关键词:
Heterogeneous media
;
Regression
;
Confidence
interval
;
Prediction
interval
;
Correction factor
;
Estimating weights during the regression
刊名:Advances in Water Resources
年:2017
2.
Lower Upper Bound Estimation Method Considering Symmetry for Construction of
Prediction
Interval
s in Flood Forecasting
作者:
Hairong Zhang
;
Jianzhong Zhou
;
Lei Ye
;
Xiaofan Zeng…
关键词:
Prediction
interval
;
Symmetry
;
Artificial neural networks
;
Uncertainty
;
Flood forecasting
;
Shuffled complex evolution
刊名:Water Resources Management
出版者:Springer Netherlands
年:2015
3.
Probabilistic
Prediction
for Monthly Streamflow through Coupling Stepwise Cluster Analysis and Quantile Regression Methods
作者:
Y. R. Fan
;
G. H. Huang
;
Y. P. Li
;
X. Q. Wang
;
Z. Li
关键词:
Monthly streamflow
prediction
;
Data
;
driven
;
Stepwise cluster analysis
;
Uncertainty
;
Water resources
刊名:Water Resources Management
出版者:Springer Netherlands
年:2016
4.
Production of solar radiation bankable datasets from high-resolution solar irradiance derived with dynamical downscaling Numerical Weather
prediction
model
作者:
Yassine Charabia
;
yassine@squ.edu.om
;
Adel Gastlib
;
adel.gastli@qu.edu.qa
;
Sultan Al-Yahyaic
;
s.alyahyai@gmail.com
关键词:
Bankable datasets
;
Downscaling
;
Numerical weather
prediction
;
Solar radiation
刊名:Energy Reports
年:2016
5.
Short-Term
Prediction
s of Hydrological Events on an Urbanized Watershed Using Supervised Classification
作者:
M. G. Erechtchoukova
;
P. A. Khaiter
;
S. Saffarpour
刊名:Water Resources Management
出版者:Springer Netherlands
年:2016
6.
Data-driven methods to improve baseflow
prediction
of a regional groundwater model
作者:
Tianfang Xu
;
txu3@illinois.edu" class="auth_mail" title="E-mail the corresponding author
;
Albert J. Valocchi
关键词:
Statistical learning
;
Baseflow
;
Predictive error
刊名:Computers & Geosciences
年:2015
7.
A PCM-based stochastic hydrological model for uncertainty quantification in watershed systems
作者:
Y. R. Fan
;
W. Huang
;
G. H. Huang
;
K. Huang…
关键词:
Uncertainty
;
Probabilistic collocation method
;
Hydrologic model
;
Monte Carlo
;
Water resources
刊名:Stochastic Environmental Research and Risk Assessment (SERRA)
出版者:Springer Berlin / Heidelberg
年:2015
8.
Methodological approach for the analysis of groundwater quality in the framework of the Groundwater Directive
作者:
Juan Grima
;
Juan Antonio Luque-Espinar
;
Juan Angel Mejía…
关键词:
Water Framework Directive
;
River basin management
;
Groundwater
;
Impact assessment
;
Resources
;
Sustainability
;
Water resources
刊名:Environmental Earth Sciences
出版者:Springer Berlin Heidelberg
年:2015
9.
Uncertainties in assessing hydrological drought using streamflow drought index for the upper Yangtze River basin
作者:
Xingjun Hong
;
Shenglian Guo
;
Yanlai Zhou…
关键词:
Hydrological drought
;
Streamflow drought index
;
Sampling uncertainty
;
Bootstrap method
刊名:Stochastic Environmental Research and Risk Assessment (SERRA)
出版者:Springer Berlin / Heidelberg
年:2015
10.
Nonstationarity of Hydrological Records and Recent Trends in Trend Analysis: A State-of-the-art Review
作者:
Mehmetcik Bayazit
关键词:
Nonstationarity
;
Trend analysis
;
Climate change
;
Statistical significance
;
Frequency analysis
;
Return period
;
Risk
;
Hydrological design
刊名:Environmental Processes
出版者:Springer International Publishing
年:2015
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