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Advances in Hydrologic Forecasts and Water Resources Management
Advances in Hydrologic Forecasts and Water Resources Management
Autore Chang Fi-John
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (272 p.)
Soggetto topico Research and information: general
Soggetto non controllato artificial intelligence
artificial neural networks
cascade hydropower reservoirs
cascade reservoirs
changing environments
climate change impacts
coupled models
dammed lake
data synthesis
data-scarce deglaciating river basin
degree of balance and approach
elastic-ball modification
elasticity coefficient
empirical mode decomposition
feasible search space
flood control
flood risk
flood-risk map
forecast evaluation
generalized likelihood uncertainty estimation
Generalized Likelihood Uncertainty Estimation (GLUE)
GloFAS-Seasonal
GR4J model
gravitational search algorithm
grey entropy method
highly urbanized area
Hushan reservoir
hydrodynamic modelling
hydrologic forecasting
impoundment operation
Internet of Things (IoT)
interval number
landslide
loss-benefit ratio of ecology and power generation
machine learning
machine learning model
Mahalanobis-Taguchi System
multi-objective optimal operation model
multi-objective optimization
multi-objective reservoir operation
NDVI
opposition learning
parameter uncertainty
Pareto-front optimal solution set
partial mutation
probabilistic forecast
random forest
recurrent nonlinear autoregressive with exogenous inputs (RNARX)
regional flood inundation depth
risk
Sequential Gaussian Simulation
signal-to-noise ratio
small and medium-scale rivers
Snowmelt Runoff Model
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
temporal transferability
Three Gorges Reservoir
time-varying parameter
TOPSIS
uncertainty
uncertainty analysis
Unscented Kalman Filter
urban hydrological model
urban stormwater
water resources management
western China
whole region perspective
Yangtze River
Yarlung Zangbo River
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557110703321
Chang Fi-John  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Biological Communities Respond to Multiple Human-Induced Aquatic Environment Change
Biological Communities Respond to Multiple Human-Induced Aquatic Environment Change
Autore Manca Marina
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (170 p.)
Soggetto topico Environmental economics
Soggetto non controllato adaptation
ammonium impact
aquatic insects
bioassessment
biodiversity
colonization
copepods
crustaceans
Cyanobacteria
Danjiangkou Reservoir
deep lake
distribution patterns of species
ecological resilience
endemic species
environmental change
environmental factor
EPT taxa
fossil Cladocera
freshwater pollution
functional diversity
generalized procrustes analysis
genetic variability
groundwater
high throughput sequencing
lab-microcosms
lake vulnerability
machine learning model
metabolism
multiple scale
multivariate analyses
nitrification
non-metric multi-dimensional scaling (NMDS)
nonmetric multidimensional scaling
paleolimnology
PCA
PERMANOVA
plankton
Planktothrix rubescens
porous aquifer
random forest model
respirometry
risk assessment
seasonality
small lakes
South-North Water Diversion Project
species conservation
stability
stable isotope analysis
Stable Isotopes Analysis
stream ecosystem
subalpine lakes
trophic degree
trophic gradient
trophic interactions
Tychonema bourrellyi
zooplankton
ISBN 3-03928-545-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404076403321
Manca Marina  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui