Artificial Intelligence Techniques in Hydrology and Water Resources Management

• Andere auteurs: Chang, Fi-John (Redacteur), Chang, Li-Chiu (Redacteur), Chen, Jui-Fa (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Onderwerpen: 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
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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...