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在“
自然资源管理
”中,
命中:
26
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1.
Combined assimilation of streamflow and satellite soil moisture with the
particle
filter
and geostatistical modeling
作者:
Hongxiang Yan
;
yan2@pdx.edu" class="auth_mail" title="E-mail the corresponding author
;
Hamid Moradkhani hamidm@pdx.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Data assimilation
;
Particle
filter
;
Markov chain Monte Carlo
;
Soil moisture
;
Geostatistical modeling
;
ASCAT
刊名:Advances in Water Resources
年:2016
2.
Evaluating forecasting performance for data assimilation methods: The ensemble Kalman
filter
, the
particle
filter
, and the evolutionary-based assimilation
作者:
Gift Dumedah
;
Paulin Coulibaly
关键词:
Streamflow forecasting
;
Data assimilation
;
Evolutionary algorithms
;
The ensemble Kalman
filter
;
The
particle
filter
刊名:Advances in Water Resources
年:2013
3.
A multi-layer soil moisture data assimilation using support vector machines and ensemble
particle
filter
作者:
Zhongbo Yua
;
b
;
Di Liua
;
lenaliudi@163.com
;
Haishen Lü
a ;
Xiaolei Fua
;
Long Xianga
;
Yonghua Zhua
关键词:
Data assimilation
;
Support vector machines
;
Ensemble Kalman
filter
;
Particle
filter
;
Ensemble
particle
filter
刊名:Journal of Hydrology
年:2012
4.
Assessment of Impact of
Filter
Design Variables on Clogging in Stormwater Filters
作者:
Harpreet Singh Kandra (1) Ana Deletic (1) David McCarthy (1)
关键词:
Stormwater
;
Filter
s
;
Hydraulic conductivity
;
Clogging
;
Sediment treatment
;
Lifespan
刊名:Water Resources Management
年:2014
5.
Ensemble Kalman
filter
versus
particle
filter
for a physically-based coupled surface-subsurface model
作者:
Damiano Pasetto
;
Matteo Camporese
;
Mario Putti
关键词:
Surface/subsurface water interactions
;
CATHY Model
;
Bayesian uncertainty evaluation
;
Monte Carlo data assimilation
;
SIR
particle
filter
;
Ensemble Kalman
filter
刊名:Advances in Water Resources
年:2012
6.
Management outweighs climate change on affecting length of rice growing period for early rice and single rice in China during 1991-2012
作者:
Xuhui Wanga
;
b
;
c
;
xuhui.wang@pku.edu.cn
;
Philippe Ciaisb
;
Laurent Lic
;
Francois Rugetd
;
Nicolas Vuichardb
;
Nicolas Viovyb
;
Feng Zhoua
;
Jinfeng Change
;
Xiuchen Wub
;
Hongfang Zhaoa
;
Shilong Piaoa
;
slpiao@pku.edu.cn
关键词:
Length of growing period
;
Rice
;
Climate change
;
Crop management
;
ORCHIDEE-crop
;
China
刊名:Agricultural and Forest Meteorology
年:2017
7.
Hydrologic data assimilation using
particle
Markov chain Monte Carlo simulation: Theory, concepts and applications
作者:
Jasper A. Vrugta
;
b
;
jasper@uci.edu
;
Cajo J.F. ter Braakc
;
Cees G.H. Diksd
;
Gerrit Schoupse
关键词:
Particle
filter
ing
;
Bayes
;
Sequential Monte Carlo
;
Markov chain Monte Carlo
;
DREAM
;
Parameter and state estimation
刊名:Advances in Water Resources
年:2013
8.
Dual state-parameter estimation of root zone soil moisture by optimal parameter estimation and extended Kalman
filter
data assimilation
作者:
Haishen Lü
a ;
b
;
haishen2001@yahoo.com.cn
;
Zhongbo Yua
;
c
;
Yonghua Zhua
;
Sam Draked
;
Zhenchun Haoa
;
Edward A. Sudickyb
关键词:
Soil moisture content
;
Root zone
;
Richards’
;
equation
;
Optimal parameters and extended Kalman
filter
data assimilation method
;
Particle
swarm optimization algorithm
刊名:Advances in Water Resources
年:2011
9.
Self-cleaning filtration: A novel concept for rainwater harvesting systems
作者:
A. Silva Vieira
;
M. Weeber
;
E. Ghisi
关键词:
Water treatment
;
Self-cleaning
filter
;
Rainwater harvesting system
;
Water security
刊名:Resources, Conservation and Recycling
年:2013
10.
Location tracking in mobile ad hoc networks using
particle
filter
s
作者:
Rui Huang
;
Gergely V. Zá
;
ruba
关键词:
Ad hoc networks
;
MANET
;
Sensor networks
;
Localization
;
Particle
filter
;
Monte Carlo sampling
刊名:Journal of Discrete Algorithms
年:2007
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