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马克思主义、列宁主义、毛泽东思想、邓小平理论(7)
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在“
自然资源管理
”中,
命中:
23
条,耗时:小于0.01 秒
1.
Socio-economic factors influencing
mop
ane worm (Imbrasia belina) harvesting in Limpopo Province, South Africa
作者:
L. J. S. Baiyegunhi
;
B. B. Oppong
;
M. G. Senyolo
关键词:
NTFPs
;
Mop
ane worm
;
Harvesting
;
Livelihood
;
Conservation
;
South Africa
刊名:Journal of Forestry Research
出版者:Springer Berlin Heidelberg
年:2016
2.
Modeling a novel CCHP system including solar and wind renewable energy resources and sizing by a CC-
MOP
SO algorithm
作者:
Saman Soheylia
;
Mohamad Hossein Shafiei Mayamb
;
shafiei@buqaen.ac.ir
;
Mehri Mehrjooc
关键词:
CCHP system
;
Photovoltaic module
;
Wind turbine
;
Solid oxide fuel cell
;
Operation strategy
;
Constrained optimization
刊名:Applied Energy
年:2016
3.
Multiple objectives Pinch Analysis
作者:
G.S. Krishna Priya
;
Santanu Bandyopadhyay
;
santanu@me.iitb.ac.in
关键词:
Multiple objectives Pinch Analysis
;
Multiple resources
;
Multiple objectives prioritized cost
;
Water Pinch
;
Hydrogen Pinch
;
Carbon Pinch
;
Indian power sector
刊名:Resources, Conservation and Recycling
年:2017
4.
Uncertainty-averse TRANSCO planning for accommodating renewable energy in CO2 reduction environment
作者:
Chunyu ZHANG (1) Yi DING (1) Qi WANG (1) Yusheng XUE (2) Jacob 脴STERGAARD (1) 1. Center for Electric Power and Energy
;
Technical University of Denmark
;
2800
;
Kgs. Lyngby
;
Denmark 2. State Grid Electric Power Research Institute (SGEPRI)
;
Nanjing
;
210003
;
China
关键词:
CO2 reduction
;
Renewable energy
;
Uncertainty
;
Multi
;
objective planning
;
TRANSCO
;
MOP
SO
刊名:Journal of Modern Power Systems and Clean Energy
出版者:Springer Berlin Heidelberg
年:2015
5.
Multiobjective Calibration of Reservoir Water Quality Modeling Using Multiobjective Particle Swarm Optimization (
MOP
SO)
作者:
Abbas Afshar (1) Nasim Shojaei (2) (3) Mahdi Sagharjooghifarahani (2) (3)
关键词:
Multiobjective particle swarm optimization algorithm
;
Multiobjective calibration
;
Water quality modeling
;
Karkheh Reservoir
;
CE
;
QUAL
;
W2
刊名:Water Resources Management
年:2013
6.
Modelling the policies of optimal straw use for maximum mitigation of climate change in China from a system perspective
作者:
Guobao Song
;
gb.song@dlut.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Jie Song
;
Shushen Zhang
关键词:
ABC
;
ammonium bicarbonate
;
AS
;
ammonium sulfate
;
MAP
;
monoammonium phosphate
;
DAP
;
diammonium phosphate
;
SSP
;
single superphosphate
;
TSP
;
triple superphosphate
;
MOP
;
potassium chloride
;
SOP
;
potassium sulfate
;
Nmachine
;
nutrient use of straw returned to farmland by machinery
;
Fsilage
;
forage use of straw by silage technology
;
Fammonification
;
forage use of straw by ammonification technology
;
Funtreated
;
forage use of straw by direct feeding without treatment
;
Ppure
;
pure combustion for power
;
Pc
刊名:Renewable and Sustainable Energy Reviews
年:2016
7.
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
8.
The influence of litter quality and micro-habitat on litter decomposition and soil properties in a silvopasture system
作者:
G. Tripathia
;
101drgst@gmail.com
;
R. Deoraa
;
G. Singhb
;
singh_g_dr@yahoo.co.in
关键词:
Colophospermum
mop
ane
;
Grass land
;
Indian desert
;
Soil fauna
;
Nutrient turn over
;
Biochemical changes
刊名:Acta OEcologica
年:2013
9.
Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition
作者:
Wen-chuan Wang
;
Kwok-wing Chau
;
Dong-mei Xu
;
Xiao-Yun Chen
关键词:
Annual runoff forecasting
;
Hydrologic time series
;
Auto
;
regressive integrated moving average (ARIMA)
;
Ensemble empirical mode decomposition (EEMD)
;
Decomposition and ensemble
刊名:Water Resources Management
出版者:Springer Netherlands
年:2015
10.
Monthly streamflow forecasting using Gaussian Process Regression
作者:
Alexander Y. Suna
;
alex.sun@beg.utexas.edu" class="auth_mail
;
Dingbao Wangb
;
Xianli Xuc
;
d
关键词:
Gaussian Process Regression
;
Machine learning theory
;
Water/energy interactions
;
Probabilistic streamflow forecasting
;
Hydrologic similarity
刊名:Journal of Hydrology
年:16 April, 2014
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