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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
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (376 p.) |
| Soggetto non controllato |
natural hazards &
artificial neural network flood routing the Three Gorges Dam backtracking search optimization algorithm (BSA) lag analysis artificial intelligence classification and regression trees (CART) decision tree real-time optimization ensemble empirical mode decomposition (EEMD) improved bat algorithm convolutional neural networks ANFIS method of tracking energy differences (MTED) adaptive neuro-fuzzy inference system (ANFIS) recurrent nonlinear autoregressive with exogenous inputs (RNARX) disasters flood prediction ANN-based models flood inundation map ensemble machine learning flood forecast sensitivity hydrologic models phase space reconstruction water level forecast data forward prediction early flood warning systems bees algorithm random forest uncertainty soft computing data science hydrometeorology LSTM rating curve method forecasting superpixel particle swarm optimization high-resolution remote-sensing images machine learning support vector machine Lower Yellow River extreme event management runoff series empirical wavelet transform Muskingum model hydrograph predictions bat algorithm data scarce basins Wilson flood self-organizing map big data extreme learning machine (ELM) hydroinformatics nonlinear Muskingum model invasive weed optimization rainfall–runoff flood forecasting artificial neural networks flash-flood streamflow predictions precipitation-runoff the upper Yangtze River survey parameters Haraz watershed ANN time series prediction postprocessing flood susceptibility modeling rainfall-runoff deep learning database LSTM network ensemble technique hybrid neural network self-organizing map (SOM) data assimilation particle filter algorithm monthly streamflow forecasting Dongting Lake machine learning methods micro-model stopping criteria Google Maps cultural algorithm wolf pack algorithm flood events urban water bodies Karahan flood St. Venant equations hybrid & hydrologic model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
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Chang Fi-John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Integrated Water Resources Research : Advancements in Understanding to Improve Future Sustainability
| Integrated Water Resources Research : Advancements in Understanding to Improve Future Sustainability |
| Autore | Hubbart Jason A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (364 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
physical habitat
aquatic ecology stream health environmental flows land use hydrology hydroecology ecohydrology climate change Appalachia reforestation land use-land cover land-atmosphere coupling water quality environmental perceptions human dimensions spatial models socioeconomics urban watershed management municipal watershed water quality impairment collaborative adaptive management water resources urban watersheds endocrine disrupting chemical opioid pathway analysis ontology metabolomics decision-making logit regression farmer perceptions social networks public funds water conservation adoption good governance sanitation sustainability water supply water-saving agriculture Chinese provincial input efficiency three-stage DEA model environmental variables Boufakrane river watershed remote sensing LULCC water balances vulnerability total dissolved solids drinking water Appalachian Mountains streamflow sensitivity water security water balance partitioning Budyko Escherichia coli Suspended particulate matter Water quality Land use practices Watershed management basin hydrologic model reaeration rates stream metabolism watershed physicochemistry land use practices experimental watershed suspended particulate matter stream water temperature watershed management bacteria land-use practices environmental persistence saturated hydraulic conductivity pedotransfer function model validation Chesapeake Bay Watershed experimental watershed study human dimensions of water watershed modeling hydrological modeling water pollutants |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Integrated Water Resources Research |
| Record Nr. | UNINA-9910557598803321 |
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Hubbart Jason A
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Kisi Ozgur
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soil-Water Conservation, Erosion, and Landslide
| Soil-Water Conservation, Erosion, and Landslide |
| Autore | Chen Su-Chin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (392 p.) |
| Soggetto topico |
Technology: general issues
Environmental science, engineering & technology |
| Soggetto non controllato |
landslide
image classification spectrum similarity analysis extreme rainfall-induced landslide susceptibility model landslide ratio-based logistic regression landslide evolution Typhoon Morakot Taiwan vegetation community vegetation importance value root system soil erosion grey correlation analysis sediment yield RUSLE Lancang-Mekong River basin rainfall threshold landslide probability model debris flow Zechawa Gully mitigation countermeasures Jiuzhaigou Valley water erosion susceptibility Gaussian process climate change radial basis function kernel weighted subspace random forest extreme events extreme weather naive Bayes feature selection machine learning hydrologic model simulated annealing earth system science PSED Model loess ICU static liquefaction mechanical behavior pore structure alpine swamp meadow alpine meadow degradation of riparian vegetation root distribution tensile strength tensile crack soil management land cover changes Syria hillslopes gully erosion vegetation restoration soil erodibility land use bridge pier overfall scour landform change impact on pier shallow water equations wet-dry front outburst flood TVD-scheme MUSCL-Hancock method laboratory model test extreme rainfall rill erosion shallow landslides deep lip surface safety factor rainfall erosivity factor USLE R Deep Neural Network tree ring dendrogeomorphology landslide activity deciduous broadleaved tree Shirakami Mountains spatiotemporal cluster analysis landslide hotspots dam breach seepage overtopping seismic signal flume test breach model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566467403321 |
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Chen Su-Chin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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