Frontiers in Water | Water and Artificial Intelligence

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Journal notices

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Meet us at AGU in New Orleans 15th - 19th December

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Research Topic of the Month

Participatory and Just Governance: Empowering Local and Indigenous Communities is closing soon! If you require help submitting your article, contact the Water team at water@frontiersin.org.

Freshwater Lakes. Water supply problems and water deficit, ecology and environmental. Surface and groundwater pollution. Global drought crisis. Drink water safe. Forest lake, Wetland green background.

Article of the Month

Simultaneous adsorptive removal of Pb2+, Cd2+, Cu2+, and Zn2+ using raw Norway Spruce biomass: a low-cost and eco-friendly solution for wastewater treatment, published in July!

Drought and water crisis impact to agriculture fields, Corn crop drying and dead at farm metaphor world climate change and global warming

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Nature-based Solutions for Water Resilience under Climate Change. Do you have a paper to submit? Contact our journal team at Water@frontiersin.org.

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Water and Artificial Intelligence

Submit your research

Author guidelines

Editor guidelines

Peer review

Publishing fees

Journal notices

Meet us at AGU in New Orleans 15th - 19th December

Research Topic of the Month

Article of the Month

Call for Papers

Trending Article

Editors

chaopeng shen

ibrahim demir

guangtao fu

rudy gargano

Articles

Machine Learning Generated Streamflow Drought Forecasts for the Conterminous United States (CONUS): Developing and Evaluating an Operational Tool to Enhance Sub-seasonal to Seasonal Streamflow Drought Early Warning for Gaged Locations

Enhancing dissolved oxygen prediction in lake-reservoirs via a hybrid BO+SSA-driven backpropagation neural network

SMamba-KAN: an advanced temporal-nonlinear model for precise water level prediction

Core technologies for hydropower digitalization within the Energy Internet framework: a mini-review

Research Topics

Advances in Computational Fluid Dynamics and Artificial Intelligence for the Water Sector.

Advancing Machine Learning for Climate and Water Resilience: Techniques for Precipitation Forecasting

Integrating Values and Ethics when utilizing Artificial Intelligence and Machine Learning to support Water Management decisions

Hydrological Simulation and Uncertainty Analysis Methods Based on Data Assimilation and Deep Learning