Artificial Intelligence Techniques in Hydrology and Water Resources Management

The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food...

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Detalles Bibliográficos
Formato:	Online
Idioma:	inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	ANN roadside IoT sensors simulations of the gridded rainstorms 2D inundation simulation and real-time error correction weather types and features meteorological feature extraction artificial neural network self-organizing map (SOM) urban agriculture resource utilization efficiency urban northern Taiwan machine learning random forest regression analysis support vector machine threshold rainfall threshold runoff XGBoost stochastic rainfall generator Huff rainfall curve copula GeoAI artificial intelligence hydrological hydraulic fluvial water quality geomorphic modeling anomaly detection deep reinforcement learning telemetry water level time series ensemble multi-model ensemble precipitation forecasting persian gulf deep learning dam inflow RNN LSTM GRU hyperparameter rainfall time series artificial neural networks Multiple Linear Regression Chania CNN ELM temporary rivers hydrological extremes multivariate stochastic model autoregressive model Markov model daily temperature temperature generator Bayesian neural network forecasting uncertainty multi-step ahead forecasting probabilistic streamflow forecasting variational inference smart microclimate-control system (SMCS) system dynamics water–energy–food nexus agricultural resilience hydroinformatics hydrological modeling early warning uncertainty sustainability
Acceso en liña:	ONIX_20230623_9783036577852_141
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ONIX_20230623_9783036577852_141

Artificial Intelligence Techniques in Hydrology and Water Resources Management

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