Artificial Intelligence Techniques in Hydrology and Water Resources Management

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

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