Results 131 to 140 of about 2,677,857 (208)

Changes in Magnitude and Shifts in Timing of the Latvian River Annual Flood Peaks

Atmosphere
Climate change is expected to significantly impact temperature and precipitation, as well as snow accumulations and melt in mid-latitudes, including in the Baltic region, ultimately affecting the quantity and seasonal distribution of streamflow.
Elga Apsīte, Didzis Elferts, Jānis Lapinskis, Agrita Briede, Līga Klints   +4 more
doaj   +1 more source

Potential of Mussel Habitat Enhancement to Alleviate Eutrophication in Nutrient‐Enriched Estuaries

Ecological Management &Restoration, Volume 26, Issue 2, May 2025.
ABSTRACT Through altered freshwater flow regimes and excessive anthropogenic nutrient input, many estuaries around the world are showing signs of eutrophication. As shellfish can alleviate some of these issues through their water filtration capacity, shellfish habitat restoration efforts have increased markedly in the past decade. This study quantifies,
Alan Cottingham, Andrew Bossie, Fiona Valesini, Charles Maus, Sorcha Cronin‐O'Reilly, James R. Tweedley, Eve Galimany   +6 more
wiley   +1 more source

Channel Steepness Biases and Nonsteady Erosion in Landscapes Evolving Under Cyclical Climate

Geophysical Research Letters, Volume 52, Issue 8, 28 April 2025.
Abstract Changes in climate through time obscure tectonic signals in topography. Here, we derive expressions describing how accurately channel steepness reflects tectonics and substrate erodibility when the modern discharge proxy used to calculate channel steepness (a proxy for fluvial relief) does not equal the effective discharge defining fluvial ...
J. A. Wolpert, L. M. Schoenbohm
wiley   +1 more source

Stream Nutrient Load and Concentration Estimation From Minimal Measurements

Geophysical Research Letters, Volume 52, Issue 8, 28 April 2025.
Abstract High‐resolution measurements of nutrients in rivers are vital to assess water quality and catchment material balances. Yet, such measurements are often cost‐prohibitive. To improve sampling efficiency, data‐driven sparse sensing (DSS) is proposed to recover high‐resolution nutrient time‐series from sparse flow and concentration measurements ...
Wasif Bin Mamoon, Kun Zhang, Mitul Luhar, Anthony J. Parolari   +3 more
wiley   +1 more source

Effects of climate variability and/or land use dynamics on the hydrological balance of the Cavally river catchment at Toulepleu, West Africa

Journal of Water and Climate Change
The study focuses on assessing the individual and combined impacts of climate variability and land use change on hydrological responses. The results indicate that the basin, urban area, cropland, degraded forest, and open forest shows an increasing trend,
Blé Anouma Fhorest Yao, Gneneyougo Emile Soro, Isaac Larbi, Andrew Manoba Limantol, Bi Tié Albert Goula   +4 more
doaj   +1 more source

Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning [PDF]

arXiv
To track rapid changes within our water sector, Global Water Models (GWMs) need to realistically represent hydrologic systems' response patterns - such as baseflow fraction - but are hindered by their limited ability to learn from data. Here we introduce a high-resolution physics-embedded big-data-trained model as a breakthrough in reliably capturing ...
arxiv  

River Floods Under Wetter Antecedent Conditions Deliver Coarser Sediment to the Coast

Geophysical Research Letters, Volume 52, Issue 8, 28 April 2025.
Abstract Increasing hydrologic volatility—more extreme rain, and larger variations between wet and dry years—has become apparent in some regions, but few data exist to determine how intensifying hydrologic extremes affect sedimentary systems. Using uniquely high‐resolution records of fluvial suspended sediment and coastal morphology, we quantify ...
Amy E. East, Alexander G. Snyder, Andrew W. Stevens, Jonathan A. Warrick, David J. Topping, Matthew A. Thomas, Andrew C. Ritchie   +6 more
wiley   +1 more source

Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments [PDF]

arXiv
In recent years, climate extremes such as floods have created significant environmental and economic hazards for Australia. Deep learning methods have been promising for predicting extreme climate events; however, large flooding events present a critical challenge due to factors such as model calibration and missing data.
arxiv  

Evidence of Kolmogorov like scalings and multifractality in the rainfall events [PDF]

arXiv
In this paper we present a detailed statistical analysis related to the characterization of the spatial and temporal fluctuations present in the rainfall patterns of North-East region ($26.05^{\circ}N-26.95^{\circ}N$, $88.05^{\circ}E-94.95^{\circ}E$) of India using half hourly rainfall data over the last 20 years for the range 2001-2020. We analyze the
arxiv  

Warming leads to both earlier and later snowmelt floods over the past 70 years. [PDF]

Nat Commun
Guo Y, Yang Y, Yang D, Zhang L, Zheng H, Xiong J, Ruan F, Han J, Liu Z.   +8 more
europepmc   +1 more source