Results 81 to 90 of about 410,436 (413)
Reducing Surface Wetness Leads to Tropical Hydrological Cycle Regime Transition [PDF]
, 2021 Earth's modern climate is characterized by wet, rainy deep tropics, however paleoclimate and planetary science have revealed a wide range of hydrological cycle regimes connected to different external parameters. Here we investigate how surface wetness affects the tropical hydrological cycle.
arxiv +1 more source
, 2010 When applied to wetlands, the science of hydrology is concerned with how the storage and movement of water into and out of a wetland affects the plants and animals, and the soils on which they grow.
Campbell, David I.
core +1 more source
Applied Economic Perspectives and Policy, EarlyView.Abstract Extreme weather events are worsening the fragile rural infrastructure in the United States, impacting trade flows of agricultural products. The Mississippi River, vital for transporting agricultural commodities, reached historic lows during the 2022 and 2023 fall harvests, increasing transportation costs and lowering crop prices.
James L. Mitchell, Hunter D. Biram
wiley +1 more source
Topographic thresholds for gully head formation in badlands
Earth Surface Processes and Landforms, Volume 47, Issue 15, Page 3558-3587, December 2022., 2022 Gully topographic threshold model was extended to badlands, on the basis of data collected in the Mediterranean environment in Italy and Spain, characterized by diversified climatic, lithological, geological and anthropogenic settings. Criteria for the attribution of curve number values has been more objectively defined in order to reduce arbitrariness
Mauro Rossi +4 more
wiley +1 more source
The global hydrology education resource [PDF]
, 2011 This article is a selective overview of a range of contemporary teaching resources currently available globally for university hydrology educators, with an emphasis on web-based resources.
Bardsley, W. Earl +1 more
core +1 more source
Particle saltation trajectories in supercritical open channel flows: Roughness effect
Earth Surface Processes and Landforms, Volume 47, Issue 15, Page 3588-3610, December 2022., 2022 This study investigates single particle trajectories in supercritical open channel flows under different hydraulic and roughness conditions. Therefore, it helps to get a better understanding on the mechanics and prediction of bedrock incision and hydro‐abrasion occurring in steep bedrock rivers and hydraulic structures.
Dila Demiral +3 more
wiley +1 more source
Scientific Reports, 2022 We use a national citizen science monitoring scheme to quantify how agricultural intensification affects honeybee diet breadth (number of plant species).
Ben A. Woodcock +15 more
doaj +1 more source
Automated Detection of Hillforts in Remote Sensing Imagery With Deep Multimodal Segmentation
Archaeological Prospection, EarlyView.ABSTRACT Recent advancements in remote sensing and artificial intelligence can potentially revolutionize the automated detection of archaeological sites. However, the challenging task of interpreting remote sensing imagery combined with the intricate shapes of archaeological sites can hinder the performance of computer vision systems.
Daniel Canedo +7 more
wiley +1 more source
Earth Surface Processes and Landforms, Volume 47, Issue 15, Page 3611-3628, December 2022., 2022 The loess provenance areas of the Ebro and Móra basins are mainly the fluvial terraces of the Middle and Lower Ebro River, respectively, according to the analyses of very heavy minerals and particle size. The wind transport distances are relatively short (<100 km).
José M. Plata +7 more
wiley +1 more source
A Bayesian Surveillance Model to Track Variable Rainfall-Runoff Responses for Small Watersheds [PDF]
arXiv, 2021 Understanding dynamics of hydrological responses is essential in producing skillful runoff forecast. This can be quantitatively done by tracking changes in hydrology model parameters that represent physical characteristics. In this study, we implement a Bayesian estimation method in continuously estimating hydrology model parameters given observations ...
arxiv