938 research outputs found
Soil erosion assessment—Mind the gap
Accurate assessment of erosion rates remains an elusive problem because soil loss is strongly nonunique with respect to the main drivers. In addressing the mechanistic causes of erosion responses, we discriminate between macroscale effects of external factors—long studied and referred to as “geomorphic external variability”, and microscale effects, introduced as “geomorphic internal variability.” The latter source of erosion variations represents the knowledge gap, an overlooked but vital element of geomorphic response, significantly impacting the low predictability skill of deterministic models at field‐catchment scales. This is corroborated with experiments using a comprehensive physical model that dynamically updates the soil mass and particle composition. As complete knowledge of microscale conditions for arbitrary location and time is infeasible, we propose that new predictive frameworks of soil erosion should embed stochastic components in deterministic assessments of external and internal types of geomorphic variability.Key PointsSoil loss response to runoff is strongly controlled by “geomorphic internal variability”: microscale factors intrinsic to geomorphic systemPredictive skill of deterministic soil loss models at event scale is likely to remain poorErosion estimates must communicate uncertainty due to geomorphic external and internal types of variabilityPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/136017/1/grl55374-sup-0001-Supplementary.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/136017/2/grl55374.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/136017/3/grl55374_am.pd
Measurements of neutral gas fluxes under different plasma and divertor regimes in ASDEX Upgrade
EMC3-Eirene simulations of the spatial dependence of the tungsten divertor retention in ASDEX Upgrade
A possible role of radial electric field in driving parallel ion flow in scrape-off layer of divertor tokamaks
Effects of Needle Ice on Peat Erosion Processes During Overland Flow Events
Freeze‐thaw processes play a role in increasing erosion potential in upland areas, but their impact on overland flow hydraulics and fluvial erosion processes are not clearly established. We provide the first quantitative analysis demonstrating that needle ice production is a primary process contributing to upland peat erosion by enhancing peat erodibility during runoff events following thaw. To quantify the effects of needle ice on peat physical properties, overland flow hydraulics, and erosion processes, physical overland flow simulation experiments were conducted on highly frost‐susceptible blanket peat with and without needle ice processes. For each treatment, overland flow rates of 0.5, 1.0, and 2.0 L/min and slopes of 2.5° and 7.5° were applied. Peat erodibility, sediment concentration, and sediment yield were significantly increased in treatments subjected to needle ice processes. Median peat losses were nearly 6 times higher in peat blocks subject to needle ice processes than in peat blocks not subject to needle ice processes. Needle ice processes decreased mean overland flow velocities by 32–44% via increased hydraulic roughness and changes to surface microtopographic features, with microrills and headcut development. Needle ice processes increased the hydrodynamic force of shear stress by 55–85%. Erosion rates under needle ice processes exhibited a significant linear relationship with stream power. Our findings indicate that models of overland flow‐induced peat erosion would benefit from a winter component that properly accounts for the effects of needle ice processes on peat erodibility and erosion
3D modeling of the ASDEX Upgrade edge plasma exposed to a localized tungsten source by means of EMC3-Eirene
Discrepancy between modelled and measured radial electric fields in the scrape-off layer of divertor tokamaks: a challenge for 2D fluid codes?
Impurity seeding for tokamak power exhaust: from present devices via ITER to DEMO (invited paper)
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