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Drought Risk Management in Reflect Changing of Meteorological Conditions
Drought Risk Management in Reflect Changing of Meteorological Conditions
Autore Walega Andrzej
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (264 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato extensive green roofs
climate change
summer drought
urban vegetation
phytomass
fertilizer
biodiversity
blue green infrastructure
pan evaporation
ANN
WANN
SVM-RF
SVM-LF
Pusa station
drought
SPI
run theory
Sen's estimator
Mann-Kendall
Wadi Cheliff Basin
water stress
soil moisture
atmospheric evaporative demand
eddy covariance
gross primary productivity
meteorological drought
agricultural drought
atmospheric circulation
elementary circulation mechanism (ECM)
information entropy
atmospheric blocking
hydrological drought
trends
central Poland
lotic systems
refuge habitats
fish
risk management
forecasting
ARIMA
Standardized Precipitation Evapotranspiration Index (SPEI)
mitigation
atmospheric drought
forest drought
Carpathian Mts
beech
vertical climate zones
Copernicus Sentinel-1
electrical resistivity tomography
expansive clay
InSAR
shrink-swell risk
SMOS surface soil moisture
wavelet analysis
precipitation
precipitation deficit
climatic water balance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566482303321
Walega Andrzej  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
Autore Kisi Ozgur
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (238 p.)
Soggetto topico Research & information: general
Soggetto non controllato groundwater
artificial intelligence
hydrologic model
groundwater level prediction
machine learning
principal component analysis
spatiotemporal variation
uncertainty analysis
hydroinformatics
support vector machine
big data
artificial neural network
nitrogen compound
nitrogen prediction
prediction models
neural network
non-linear modeling
PACF
WANN
SVM-LF
SVM-RF
Govindpur
streamflow forecasting
Bayesian model averaging
multivariate adaptive regression spline
M5 model tree
Kernel extreme learning machines
South Korea
uncertainty
sustainability
prediction intervals
ungauged basin
streamflow simulation
satellite precipitation
atmospheric reanalysis
ensemble modeling
additive regression
bagging
dagging
random subspace
rotation forest
flood routing
Muskingum method
extension principle
calibration
fuzzy sets and systems
particle swarm optimization
EEFlux
irrigation performance
CWP
water conservation
NDVI
water resources
Daymet V3
Google Earth Engine
improved extreme learning machine (IELM)
sensitivity analysis
shortwave radiation flux density
sustainable development
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557448103321
Kisi Ozgur  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui