Results 111 to 120 of about 7,730 (244)

Potential Warming‐Induced Changes in Stream Water Sources Between Proglacial and Non‐Glacial Streams, South‐Central Alaska

open access: yesHydrological Processes, Volume 40, Issue 8, August 2026.
Land cover and elevation are shown to influence the proportion of stream source waters across glacial and non‐glacial streams. Groundwater makes up a large proportion of both early season and late season flow in most glacial and non‐glacial streams, while the timing of snow and ice melt is driven by the presence or absence of a glacier within the ...
H. K. Richardson   +5 more
wiley   +1 more source

November streamflow

open access: yesEos, Transactions American Geophysical Union, 1985
It was a wet November for much ot the United States, and 25 of the nation's key index stream‐gaging stations reported new record high flows for the month, according to the U.S. Geological Survey (USGS). USGS hydrologists said 96% of the key index stations reported streamflows that were in the normal or above‐normal range. Only 12 stations, most of them
openaire   +1 more source

Tides of the Midland: From Groundwater Into the River

open access: yesHydrological Processes, Volume 40, Issue 8, August 2026.
Tides in a river that is NOT influenced by the ocean, is not in the coastal area and is more than 300 m above sea level are caused by groundwater tides. As the phases of the Moon change, the amplitudes of the streamwater oscillations vary synchronously with those of gravitational acceleration.
Andrei‐Emil Briciu
wiley   +1 more source

Streamflow

open access: yes, 2017
Ian Watson, Alister D. Burnett
openaire   +2 more sources

Coupling Machine Learning and Physically Based Hydrological Models for Reservoir-Based Streamflow Forecasting

open access: yesRemote Sensing
High-accuracy streamflow forecasting with long lead times can help promote the efficient utilization of water resources. However, the construction of cascade reservoirs has allowed the evolution of natural continuous rivers into multi-block rivers.
Benjun Jia, Wei Fang
doaj   +1 more source

February streamflow

open access: yesEos, Transactions American Geophysical Union, 1984
Streamflows increased dramatically in the Northeast and were well above average in the upper Mississippi River basin and the western mountain states during February, according to the regular month‐end check on the nation's water resources by the U.S. Geological Survey (USGS).
openaire   +1 more source

Effects of Climate Change on Ecologically Sensitive Flows in the Goulburn River Basin, Australia

open access: yesHydrological Processes, Volume 40, Issue 8, August 2026.
Freshwater ecosystems face growing threats from climate change and river regulation, which alter natural flow regimes and jeopardise ecological integrity. Our study integrates a SWAT model with ecologically sensitive flow metrics to assess how projected changes in streamflow under future climate scenarios may affect river ecosystem function.
Sudeep Banad   +4 more
wiley   +1 more source

Degradation of Seasonally Frozen Ground in the Three–River Source Region and Its Correlation Impact Within Precipitation–Runoff Process

open access: yesInternational Journal of Climatology, Volume 46, Issue 10, August 2026.
This study reveals how climate change alters the water cycle in the Three Rivers Source region by degrading its important ‘solid groundwater’ (seasonally frozen ground). We found that runoff response varies by watershed and the role of permafrost decreases sharply, making water supply more dependent on rainfall and becoming increasingly vulnerable ...
Chenchen Ren   +6 more
wiley   +1 more source

Using Machine Learning to Predict Phytoplankton Blooms in the Salish Sea

open access: yesEarth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Strong phytoplankton blooms occur every spring in the Salish Sea, but vary significantly, spatially and temporally. Natural variability and climate change make the prediction of the bloom challenging, as they affect both atmospheric drivers and nutrient interactions that contribute to the growth of phytoplankton. Understanding these drivers is
Ilias Bougoudis   +3 more
wiley   +1 more source

Improving Streamflow Prediction Using Multiple Hydrological Models and Machine Learning Methods

open access: yesWater Resources Research
Streamflow prediction is crucial for flood monitoring and early warning, which often hampered by bias and uncertainties arising from nonlinear processes, model parameterization, and errors in meteorological forecast.
Hiren Solanki   +3 more
doaj   +1 more source

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