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Climate Variability and Climate Change Impacts on Land Surface, Hydrological Processes and Water Management / Yongqiang Zhang, Hongxia Li, Paolo Reggiani
| Climate Variability and Climate Change Impacts on Land Surface, Hydrological Processes and Water Management / Yongqiang Zhang, Hongxia Li, Paolo Reggiani |
| Autore | Zhang Yongqiang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (460 p.) |
| Soggetto topico | Environmental economics |
| Soggetto non controllato |
coal mining
climate variability DPR Korea runoff map Haihe River Basin compound extremes variation in percentage of flood-season precipitation precipitation Mongolia Budyko framework water pricing model land use change quantitative analysis coal mining concentrated watershed trends river discharge runoff water resources management karst cascade joint operation chart Time series model flood Yellow River Delta Three Gorges Project contribution and sensitivity analysis distributed hydrological model the Loess Plateau topsoil air temperature natural streamflow variation Xinjiang Yangtze River land surface change sustainable water management power operations plot scale temperature Large-scale climate indices Mann-Kendall test eco-region human activities water security inter-basin water transfer project water management average annual runoff predictions Selenga river basin quantile regression estuarine wetlands runoff changes TFPW-MK scenario simulation streamflow indicator snowfall to precipitation ratio multivariate distribution hydroclimatic analysis spatiotemporal change analysis evapotranspiration Three Gorges Dam hydrological simulation Lake Baikal basin CMIP5 dam hydrological processes GRACE SHM trend analysis land cover climate change highland agricultural field area water conflicts Pan evaporation hydrology large scale basin remote sensing Yellow River SWAT GIS WRF model hydrological drought Ethiopia benefits grid-based Weihe River Basin Reservoir inflow forecasting multiple regression model jackknife validation elasticity coefficient diffuse pollutant discharge streamflow reduction MATOPIBA agricultural frontier land use and climate change LULCC Climate variability HEC-RAS PUB simulated rainfall trends and patterns HRU-based rainfall-runoff experiments SWCM Ensemble empirical mode decomposition freshwater availability macro scale modeling Artificial intelligence model intra-annual climate change economics hydrological model Hydro-Informatic Modelling System (HIMS) drought SWAT model arid region land use/cover change litter layer Budyko equation flood control |
| ISBN |
9783039215089
3039215086 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367759603321 |
Zhang Yongqiang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
| Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications |
| Autore | Vitelli Massimo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (280 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive neuro-fuzzy inference systems
ANFIS artificial neural network artificial neural networks clear sky irradiance clustering-based PV fault detection COA complex network analysis data fusion deterioration deterministic optimization algorithm diffractive grating diffractive optical element double flames generation (DFG) strategy duty cycle environmental parameters fault prognosis feed-forward neural networks finite difference time domain genetic algorithm global horizontal irradiance global optimization gradient descent hot spot image processing implicit model solution integrated energy systems linear approximation long short-term memory LSTM cell machine learning mathematical modeling maximum power point tracking metaheuristic optimization algorithm moth-flame optimization MPPT algorithm multiple regression model national power system optical modelling parameter extraction partial shading particle swarm optimization-artificial neural networks performances evaluation persistent predictor photovoltaic array photovoltaic model photovoltaic module photovoltaic plants photovoltaic power prediction photovoltaic system photovoltaic systems photovoltaics publicly available weather reports PV fleet PV power prediction PVs power output forecasting recurrent neural networks renewable energy self-imputation sensor network series-parallel single stage grid connected systems single-diode model smart energy management solar cell optimization Solar cell parameters solar concentrator solar irradiation spectral beam splitting statistical method sustainable development thermal image two-diode model unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557297703321 |
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Vitelli Massimo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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