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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 electronic resource (174 p.) |
| Soggetto topico | Environmental science, engineering & technology |
| Soggetto non controllato |
Urban pollution
Street canyon Nitrate aerosol CFD Air quality open burning biomass burning sugarcane crops environmental assessment air quality modeling chemical reaction model urban canyon radiation mesoscale models reactive pollutants Community Multiscale Air Quality (CMAQ) East Asia Tokyo SO42- stabilized Criegee intermediates (SCI) wildfire plume rise smoke modeling large eddy simulation emissions dispersion WRF-SFIRE RxCADRE RePLaT-Chaos large-scale atmospheric advection chaotic advection stretching rate escape rate education CMAQ PM10 atmospheric reanalysis PM2.5 PM2.5 components three-dimensional chemical transport model model inter-comparison urban scale secondary particles WRF-Chem visibility eastern China neural network algorithm IMPROVE |
| 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 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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