Hydrological Forecasting Using AI
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Scope of this subject
This cluster of papers focuses on the application of machine learning methods, such as artificial neural networks, support vector machines, and wavelet analysis, in hydrological modeling and forecasting for water resources management. The papers cover topics including rainfall-runoff modeling, groundwater level forecasting, river flow prediction, and water quality modeling.
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Research vocabulary
precipitation forecasting; streamflow forecasting; hydrological forecasting; groundwater level prediction; water quality prediction; water level prediction; runoff prediction; monthly rainfall forecasting; river discharge prediction; daily streamflow forecasting; reservoir inflow forecasting; short-term precipitation forecasting; discharge prediction; dissolved oxygen prediction; inflow forecasting; meteorological inputs; monthly streamflow; M5 model tree; river water level prediction; daily rainfall prediction; monthly streamflow forecasting; river water level forecasting; monthly runoff prediction; daily rainfall forecasting; urban water demand forecasting
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No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.
Numeric address and provenance
Morton address: 36248718814610103 · morton4x16-v1
Coordinates: (3, 23, 2305, 11490). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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