top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Advances in Evaporation and Evaporative Demand
Advances in Evaporation and Evaporative Demand
Autore Tegos Aristoteles
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (214 p.)
Soggetto topico Research & information: general
Soggetto non controllato evapotranspiration
machine learning
local
spatial
subhumid climate
agricultural drought
drought characteristics
evapotranspiration deficit index
parameter sensitivity
temporal scale sensitivity
water stress anomaly
interception
linear storage model
evaporation
cover crop
water balance
faba bean
GK2A/AMI
artificial neural network
Korean Peninsula
CWSI
UAV
remote sensing
micrometeorological data
spatial IRT measurements
crop irrigation scheduling and management
infrared radiometer sensors
real-time data analysis
water reservoir
regression
observed data
ERA5-Land data
R language
precipitation
drought
Mann-Kendall
trend analysis
actual evapotranspiration
potential evapotranspiration
reference evapotranspiration
evaporation paradox
global dimming
wind stilling
forest fires
groundwater
stochastic simulation
marginal structure
long-range dependence
Hurst-Kolmogorov dynamics
RASPOTION
parametric model
hydrological calibration
evapotranspiration estimation
urban rain gardens
lysimeters
evapotranspiration models
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576879303321
Tegos Aristoteles  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
Autore Meng Xianyong
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (384 p.)
Soggetto non controllato sensitivity analysis
non-point source pollution models
reservoirs
operation rule
East Asia
climate variability
Qinghai-Tibet Plateau (TP)
potential evapotranspiration
precipitation
capacity distribution
GLUE
soil temperature
land use change
JBR
CFSR
Jinsha River Basin
impact
runoff
CMADS
hydrological modeling
aggregated reservoir
reanalysis products
Lijiang River
spatio-temporal
uncertainty
total nitrogen
Han River
streamflow simulation
meteorological
CMADS-ST
Erhai Lake Basin
uncertainty analysis
Biliuhe reservoir
hydrological
bayesian model averaging
blue and green water flows
SUFI-2
TMPA-3B42V7
statistical analysis
satellite-derived rainfall
streamflow
satellite-based products
Xiang River basin
SWAT hydrological simulation
PERSIANN-CDR
hydrological processes
SUFI2
CMADS dataset
ParaSol
hydrological modelling
accumulation
meteorological input uncertainty
soil moisture content
Yellow River
SWAT
Noah LSM-HMS
sediment yield
Yalong River
TRMM
Penman-Monteith
IMERG
PERSIANN
hydrological elements
freeze–thaw period
land-use change
parameter sensitivity
China
reservoir parameters
soil moisture
sloping black soil farmland
hydrological model
SWAT model
hydrologic model
ISBN 3-03921-236-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model
Record Nr. UNINA-9910346839103321
Meng Xianyong  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modeling and Optimal Operation of Hydraulic, Wind and Photovoltaic Power Generation Systems
Modeling and Optimal Operation of Hydraulic, Wind and Photovoltaic Power Generation Systems
Autore Li Chaoshun
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (212 p.)
Soggetto topico Research & information: general
Physics
Soggetto non controllato doubly-fed variable-speed pumped storage
Hopf bifurcation
stability analysis
parameter sensitivity
pumped storage unit
degradation trend prediction
maximal information coefficient
light gradient boosting machine
variational mode decomposition
gated recurrent unit
high proportional renewable power system
active power
change point detection
maximum information coefficient
cosine similarity
anomaly detection
thermal-hydraulic characteristics
hydraulic oil viscosity
hydraulic PTO
wave energy converter
pumped storage units
pressure pulsation
noise reduction
sparrow search algorithm
hybrid system
facility agriculture
chaotic particle swarms method
operation strategy
stochastic dynamic programming (SDP)
power yield
seasonal price
reliability
cascaded reservoirs
doubly-fed variable speed pumped storage power station
nonlinear modeling
nonlinear pump turbine characteristics
pumped storage units (PSUs)
successive start-up
‘S’ characteristics
low water head conditions
multi-objective optimization
fractional order PID controller (FOPID)
hydropower units
comprehensive deterioration index
long and short-term neural network
ensemble empirical mode decomposition
approximate entropy
1D–3D coupling model
transition stability
sensitivity analysis
hydro power
ISBN 3-0365-5838-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910637780603321
Li Chaoshun  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui