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Air Pollution Modelling: Local-, Regional-, and Global-Scale Application
| Air Pollution Modelling: Local-, Regional-, and Global-Scale Application |
| Autore | Itahashi Syuichi |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (174 p.) |
| Soggetto topico | Environmental science, engineering & technology |
| Soggetto non controllato |
Air quality
air quality modeling atmospheric reanalysis biomass burning CFD chaotic advection chemical reaction model CMAQ Community Multiscale Air Quality (CMAQ) East Asia eastern China education emissions dispersion environmental assessment escape rate IMPROVE large eddy simulation large-scale atmospheric advection mesoscale models model inter-comparison n/a neural network algorithm Nitrate aerosol open burning PM10 PM2.5 PM2.5 components radiation reactive pollutants RePLaT-Chaos RxCADRE secondary particles smoke modeling SO42- stabilized Criegee intermediates (SCI) Street canyon stretching rate sugarcane crops three-dimensional chemical transport model Tokyo urban canyon Urban pollution urban scale visibility wildfire plume rise WRF-Chem WRF-SFIRE |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Air Pollution Modelling |
| Record Nr. | UNINA-9910557734303321 |
Itahashi Syuichi
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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 online resource (238 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
additive regression
artificial intelligence artificial neural network atmospheric reanalysis bagging Bayesian model averaging big data calibration CWP dagging Daymet V3 EEFlux ensemble modeling extension principle flood routing fuzzy sets and systems Google Earth Engine Govindpur groundwater groundwater level prediction hydroinformatics hydrologic model improved extreme learning machine (IELM) irrigation performance Kernel extreme learning machines M5 model tree machine learning multivariate adaptive regression spline Muskingum method n/a NDVI neural network nitrogen compound nitrogen prediction non-linear modeling PACF particle swarm optimization prediction intervals prediction models principal component analysis random subspace rotation forest satellite precipitation sensitivity analysis shortwave radiation flux density South Korea spatiotemporal variation streamflow forecasting streamflow simulation support vector machine sustainability sustainable development SVM-LF SVM-RF uncertainty uncertainty analysis ungauged basin WANN water conservation water resources |
| 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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