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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 online resource (376 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive neuro-fuzzy inference system (ANFIS)
ANFIS ANN ANN-based models artificial intelligence artificial neural network artificial neural networks backtracking search optimization algorithm (BSA) bat algorithm bees algorithm big data classification and regression trees (CART) convolutional neural networks cultural algorithm data assimilation data forward prediction data scarce basins data science database decision tree deep learning disasters Dongting Lake early flood warning systems empirical wavelet transform ensemble empirical mode decomposition (EEMD) ensemble machine learning ensemble technique extreme event management extreme learning machine (ELM) flash-flood flood events flood forecast flood forecasting flood inundation map flood prediction flood routing flood susceptibility modeling forecasting Google Maps Haraz watershed high-resolution remote-sensing images hybrid & hybrid neural network hydrograph predictions hydroinformatics hydrologic model hydrologic models hydrometeorology improved bat algorithm invasive weed optimization Karahan flood lag analysis Lower Yellow River LSTM LSTM network machine learning machine learning methods method of tracking energy differences (MTED) micro-model monthly streamflow forecasting Muskingum model natural hazards & nonlinear Muskingum model optimization parameters particle filter algorithm particle swarm optimization phase space reconstruction postprocessing precipitation-runoff rainfall-runoff random forest rating curve method real-time recurrent nonlinear autoregressive with exogenous inputs (RNARX) runoff series self-organizing map self-organizing map (SOM) sensitivity soft computing St. Venant equations stopping criteria streamflow predictions superpixel support vector machine survey the Three Gorges Dam the upper Yangtze River time series prediction uncertainty urban water bodies water level forecast Wilson flood wolf pack algorithm |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
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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Remote Sensing of Precipitation: Volume 2 / Silas Michaelides
| Remote Sensing of Precipitation: Volume 2 / Silas Michaelides |
| Autore | Michaelides Silas |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (318 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
satellite radiance
WRF-Hydro meteorological radar QPE microstructure of rain TMPA evaluation precipitation volume matching CFSR GMI terminal velocity TRMM-TMPA surface rain intensity retrieval algorithm rain gauges tropical cyclone CMORPH T-Matrix Global Precipitation Measurement (GPM) statistical evaluation vertical air velocity heavy rainfall prediction GPM IMERG v5 Tianshan Mountains Red River Basin precipitation retrieval satellite precipitation PERSIANN-CCS validation network PEMW satellite rainfall estimate high latitude Cyprus GPM wet deposition CloudSat thundercloud GPS satellite remote sensing assessment numerical weather prediction mineral dust complex terrain mesoscale precipitation patterns GNSS meteorology lumped models satellites Southern China error analysis topography cloud scavenging radar reflectivity–rain rate relationship CHAOS RADOLAN hydrometeor classification TRMM thunderstorm CHIRPS satellite precipitation retrieval GPM/IMERG GSMaP bias correction Precise Point Positioning Mainland China supercooled droplets detection SEID Saharan dust transportation Huaihe River basin GPM Microwave Imager satellite TMPA 3B42RT forecast model quality indexes SEVIRI radiometer triple collocation satellite precipitation product Mandra synoptic weather types drop size distribution (DSD) Amazon Basin weather radar X-band radar downscaling precipitation rate neural networks rain rate CMIP GPM-era IMERG GR models weather typhoon satellite rainfall retrievals TRMM 3B42 v7 validation low-cost receivers rainfall retrieval techniques snowfall detection GPM satellite Zenith Tropospheric Delay 3B42 hurricane Harvey PERSIANN_CDR TRMM 3B42 V7 snow water path retrieval DPR satellite precipitation adjustment Peninsular Spain RMAPS daily rainfall estimations streamflow simulation regional climate models Red–Thai Binh River Basin Ensemble Precipitation (EP) algorithm cloud radar disdrometer TRMM-era TMPA hydrometeorology MSG radar data assimilation dust washout process runoff simulations geostationary microwave sensors radar topographical and seasonal evaluation goGPS XPOL radar TMPA 3B42V7 telemetric rain gauge harmonie model tropical storm rainfall linear-scaling approach Milešovka observatory precipitable water vapor heavy precipitation hydrological simulation reflectivity Ka-band Tibetan Plateau satellite rainfall estimates regional rainfall regimes Lai Nullah microwave scattering remote sensing pre-processing rainfall rate MSWEP climatology VIC model CMORPH_CRT IMERG single frequency GNSS PERSIANN flood-inducing storm climate models Pakistan precipitating hydrometeor data assimilation rainfall kriging with external drift dual-polarization quantitative precipitation estimates flash flood Satellite Precipitation Estimates gridded radar precipitation regional rainfall sub-regimes polar systems |
| ISBN |
9783039212880
3039212885 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346859903321 |
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Michaelides Silas
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||