Drought Risk Management in Reflect Changing of Meteorological Conditions |
Autore | Walega Andrzej |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (264 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
extensive green roofs
climate change summer drought urban vegetation phytomass fertilizer biodiversity blue green infrastructure pan evaporation ANN WANN SVM-RF SVM-LF Pusa station drought SPI run theory Sen's estimator Mann-Kendall Wadi Cheliff Basin water stress soil moisture atmospheric evaporative demand eddy covariance gross primary productivity meteorological drought agricultural drought atmospheric circulation elementary circulation mechanism (ECM) information entropy atmospheric blocking hydrological drought trends central Poland lotic systems refuge habitats fish risk management forecasting ARIMA Standardized Precipitation Evapotranspiration Index (SPEI) mitigation atmospheric drought forest drought Carpathian Mts beech vertical climate zones Copernicus Sentinel-1 electrical resistivity tomography expansive clay InSAR shrink-swell risk SMOS surface soil moisture wavelet analysis precipitation precipitation deficit climatic water balance |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566482303321 |
Walega Andrzej
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 |
Kisi Ozgur
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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