Results 91 to 100 of about 7,970 (210)

What Controls the Spatial Variation in Thermal Sensitivity in a Cascades River Basin During an Extreme Heat Year?

Hydrological Processes, Volume 40, Issue 10, October 2026.
Graphical equation showing five significant predictors of thermal sensitivity derived from the top‐performing multiple linear regression (MLR) model. ABSTRACT Increasing stream temperatures resulting from climate change and consequent detrimental impacts on temperature‐dependent aquatic species have signalled the need to better understand how different
Savannah Milburn, Michael Krochta, Heejun Chang   +2 more
wiley   +1 more source

Evaluating GRACE‐Derived Total Water Storage Anomalies as an Indicator of Growing‐Season Streamflow Drought Frequency in the Eastern United States

Hydrological Processes, Volume 40, Issue 10, October 2026.
Streamflow droughts have been widely studied but their connection to groundwater storage anomalies is largely unknown. This study fills that knowledge gap and determines that areas with a greater drought occurrence and interannual variability are strongly correlated with total water storage anomalies. Correlations are similar for gages within different
Abigail Dischner, Darren Ficklin, Grace Carlson, Seth Adelsperger, Taehee Hwang, Zhiying Li   +5 more
wiley   +1 more source

Improving Streamflow Prediction Using Multiple Hydrological Models and Machine Learning Methods

Water 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, Urmin Vegad, Anuj Kushwaha, Vimal Mishra   +3 more
doaj   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, Volume 75, Issue 4, Page 1574-1591, Otober 2026.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Agricultural tile drains increase the susceptibility of streams to longer and more intense streamflow droughts

Environmental Research Letters
Streamflow droughts are receiving increased attention worldwide due to their impact on the environment and economy. One region of concern is the Midwestern United States, whose agricultural productivity depends on subsurface pipes known as tile drains to
Seth R Adelsperger, Darren L Ficklin, Scott M Robeson, Margaret A Zimmer, John C Hammond, Damon M Hall, J P Gannon   +6 more
doaj   +1 more source

Spatial and Temporal Patterns of Extreme Hourly Rainfall in the Hawaiian Islands

International Journal of Climatology, Volume 46, Issue 12, October 2026.
The extreme rainfall trends in Hawaiʻi were revealed by hourly rainfall data: Across islands, Kauaʻi and Hawaiʻi Island had larger events at a return period. Annual maximum series of 15 gauges showed significant positive trends. While extreme rainfall trends show increases or decreases regionally, the trends varied with rainfall duration.
Maxime Gayte, Yu‐Fen Huang, Yinphan Tsang, Pao‐Shin Chu, Thomas W. Giambelluca, Hanpei Zhang   +5 more
wiley   +1 more source

Validation of a Particle Image Velocimetry Algorithm Through Comparative Field and Laboratory Analysis

River Research and Applications, Volume 42, Issue 8, Page 1654-1672, October 2026.
ABSTRACT Flow velocity measurement is fundamental to hydrological and hydraulic studies, providing essential data for streamflow estimation and river dynamics analysis. Traditional in situ methods like propeller gauges and acoustic Doppler current profilers are accurate but intrusive and labour‐intensive, while non‐intrusive image processing methods ...
Ghazaleh Nassaji Matin, Gareth Bradbury, Alan Puttock, Kirsty Frith, Diego Panici   +4 more
wiley   +1 more source

Application of a Presumptive Standards Approach to Evaluate Environmental Flows in a Highly Regulated River Basin

River Research and Applications, Volume 42, Issue 8, Page 1736-1754, October 2026.
ABSTRACT The presumptive standards approach to environmental flows offers a method to develop interim guidelines for ecological and social‐cultural flow needs. The approach is based on deriving acceptable percent‐of‐flow limits based on naturalised flows (the absence of depletion or alteration of flow), and it can be an effective precursor to a full ...
Jennifer Lento, Wendy A. Monk, Fuad Yassin, Mustakim Ali, Hayley Carlson, Saman Razavi, Timothy D. Jardine   +6 more
wiley   +1 more source

Modification of the Madeira River morphology following large hydropower projects detected by satellite data

River, Volume 5, Issue 3, Page 369-387, August 2026.
Abstract Estimating suspended sediment concentration (SSC) in river channels is essential for understanding hydro‐sedimentological processes, managing water quality, and conserving aquatic ecosystems. This study evaluated different empirical equations to estimate SSC in the lower Madeira River and analyzed its hydro‐sedimentary dynamics based on MODIS ...
Matheus Silveira de Queiroz, Rogério Ribeiro Marinho, Paulo Rodrigo Zanin, Andre Luis Martinelli Real dos Santos, Jean‐Michel Martinez, Naziano Pantoja Filizola Junior   +5 more
wiley   +1 more source

Climate Change Increases Water Scarcity Risks and Adaptation Needs in China

Earth's Future, Volume 14, Issue 10, October 2026.
Abstract Increasing droughts are exacerbating the imbalance between water supply and demand, complicating efforts to secure reliable water and food supplies for key sectors. However, limited understanding of how water use responds to drought constrains effective risk management and climate adaptation.
Yuqian Zhang, Yunhe Yin, Mijia Yin, Xuezheng Zong   +3 more
wiley   +1 more source