Results 271 to 280 of about 2,146,825 (374)

Impacts of a Century‐Old Urban Dam on Water Quality and Habitat Composition, Flint River, Flint, MI

open access: yesRiver Research and Applications, Volume 42, Issue 2, Page 432-443, February 2026.
ABSTRACT Dams significantly influence river ecosystems worldwide, fragmenting habitats, altering sediment transport, and reducing biodiversity. Urban rivers are especially vulnerable, where dams compound stressors such as channelization, pollution, and degraded riparian zones. In response, dam removals are a growing restoration tool globally.
Chloe J. Summers, Heather A. Dawson
wiley   +1 more source

Decomposing Lorenz and Concentration Curves*

open access: green, 2003
John A. Bishop   +2 more
openalex   +2 more sources

A Chebyshev Polynomial‐Based Wind Speed Profile Characterization Framework: Applications in Mesoscale Model Evaluation

open access: yesWind Energy, Volume 29, Issue 2, February 2026.
ABSTRACT This study presents a polynomial‐based wind speed profile characterization framework that approximates full vertical profiles using five physically meaningful Chebyshev polynomial coefficients. The framework captures key morphological features of wind profiles, including mean wind speed, vertical shear, curvature, inflection‐related behavior ...
Harish Baki, Sukanta Basu
wiley   +1 more source

Stress and Rock Failure Near Salt Bodies: Insights From Field Observations, Kinematic Modeling, and Mechanical Analysis Near Arches National Park, Paradox Basin, Utah

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 2, February 2026.
Abstract Salt's inherent weakness and capacity for ductile deformation create significant mechanical contrasts that locally perturb the stress field in surrounding rocks, often leading to deviations from regional tectonic stresses. Variations in local stress are a critical factor for wellbore stability, seal integrity, and fluid flow in subsurface ...
Lauren J. Reeher   +3 more
wiley   +1 more source

PrecipFusionNet: A Unified Deep Learning Model for Improving Numerical Precipitation Prediction

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Numerical weather prediction (NWP) often suffers from substantial biases when forecasting extreme rainfall. Traditional corrections tend to underuse spatial information, while deep learning approaches typically struggle with data imbalance for rare events.
Ziyi Zhang, Huiling Yuan
wiley   +1 more source

Evaluating the Performance of Uni‐ and Multivariate Bias Correction Techniques: Challenges in Preserving Temporal and Dependence Structures

open access: yesWater Resources Research, Volume 62, Issue 2, February 2026.
Abstract Global Climate Models (GCMs) are essential for simulating past and future climates but suffer from systematic biases and coarse resolution, limiting direct applications. Bias correction (BC) and downscaling, using dynamical or statistical methods, address these issues. Quantile mapping (QM)‐based BC is widely used, yet it distorts dependencies,
Sachidananda Sharma   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy