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11.
Elizabeth Burke Watson Cathleen Wigand Earl W. Davey Holly M. Andrews Joseph Bishop Kenneth B. Raposa 《Estuaries and Coasts》2017,40(3):662-681
Tidal salt marsh is a key defense against, yet is especially vulnerable to, the effects of accelerated sea level rise. To determine whether salt marshes in southern New England will be stable given increasing inundation over the coming decades, we examined current loss patterns, inundation-productivity feedbacks, and sustaining processes. A multi-decadal analysis of salt marsh aerial extent using historic imagery and maps revealed that salt marsh vegetation loss is both widespread and accelerating, with vegetation loss rates over the past four decades summing to 17.3 %. Landward retreat of the marsh edge, widening and headward expansion of tidal channel networks, loss of marsh islands, and the development and enlargement of interior depressions found on the marsh platform contributed to vegetation loss. Inundation due to sea level rise is strongly suggested as a primary driver: vegetation loss rates were significantly negatively correlated with marsh elevation (r 2?=?0.96; p?=?0.0038), with marshes situated below mean high water (MHW) experiencing greater declines than marshes sitting well above MHW. Growth experiments with Spartina alterniflora, the Atlantic salt marsh ecosystem dominant, across a range of elevations and inundation regimes further established that greater inundation decreases belowground biomass production of S. alterniflora and, thus, negatively impacts organic matter accumulation. These results suggest that southern New England salt marshes are already experiencing deterioration and fragmentation in response to sea level rise and may not be stable as tidal flooding increases in the future. 相似文献
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Abstract The parameter ranges relevant to propagating oceanic eddies are explored with a view to simplifying the equation sets previously used to simulate such eddies. The reduced gravity shallow-water model is used as a starting point. We consider eddies whose width is of the same order as, or somewhat larger than, the Rossby deformation radius. Two model equations emerge from these scalings, both permitting modon solutions and easy numerical integration. Both, too, give fair simulations of the shallow-water model, but disagree in details. Using another approach, an ad hoc vortex model is used to predict the path of an eddy. This also gives a fair but not perfect simulation of the one-layer results. It appears that the only ideal way to reproduce primitive equation results accurately is to use the primitive equations themselves. 相似文献
13.
Liquid-tracer measurements in industrial flotation banks have indicated extensive backmixing between adjacent cells in those banks where there are no weirs between the individual cells. The effect that this backmixing has upon metallurgical performance is examined for both rougher-scavenger and recleaner banks in an industrial zinc circuit. The main effects are decreased recovery of valuable mineral and increased concentrate flows from the later cells in the bank. These effects are more detrimental to the performance of the rougher-scavenger bank than that of the recleaner bank.The performance of a bank in the presence of backmixing is measured by detailed sampling at steady state. This is compared with estimates of its performance without backmixing provided by simulations using a first-order flotation rate model with rate coefficients determined from plant sampling. 相似文献
14.
Frank Hill Piet Martens Keji Yoshimura Joseph Gurman Joseph Hourclé George Dimitoglou Igor Suárez-Solá Steve Wampler Kevin Reardon Alisdair Davey Richard S. Bogart Karen Q. Tian 《Earth, Moon, and Planets》2009,104(1-4):315-330
The Virtual Solar Observatory (VSO) has been developed to allow researchers, educators, and the general public to access data and images from the major sources of on-line solar data. The VSO substantially reduces the effort required to locate disparate data sets, and removes the need for the user to locate the data and learn multiple interfaces. The VSO provides a single interface to about 60 geographically distributed data sets including space- and ground-based sources. These data sets incorporate several physical variables including magnetic field, intensity, Doppler velocity, etc., and all wavelengths from X-ray to radio. All layers of the sun, from the interior to the corona, are included. In this paper we describe the system and present the interface that the user will encounter. We also discuss future enhancements planned for the system. 相似文献
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E. B. Watson A. J. Oczkowski C. Wigand A. R. Hanson E. W. Davey S. C. Crosby R. L. Johnson H. M. Andrews 《Climatic change》2014,125(3-4):501-509
In the Northeastern U.S., salt marsh area is in decline. Habitat change analysis has revealed fragmentation, displacement of high marsh by low marsh species, and marsh drowning, while development of adjacent uplands limits upslope migration. Measures of marsh vegetation loss for eight sites in Rhode Island and New York between ca.1970 and 2011 indicate that substantial loss has occurred over past decades, with higher loss rates found for lower elevation salt marshes. Using inundation experiments, field surveys, and LiDAR datasets, we developed an elevation-productivity relationship for Spartina alterniflora specific to the U.S. Northeast, and located current salt marsh orthometric heights on this curve. We estimate that 87 % of Northeastern salt marshes are located at elevations where growth is limited by inundation. By manipulating water column nutrients, precipitation, and elevation, we further found that altered precipitation regime was associated with significant reductions in biomass, and that nutrient enrichment adversely impacts organic matter accumulation and peat formation. These results provide evidence that Northeastern U.S. marshes are vulnerable to the effects of accelerated sea level rise, and that neither precipitation changes, nor cultural eutrophication, will contribute positively to long-term salt marsh survival. 相似文献
17.
Kent R. Davey 《Astrophysics and Space Science》1983,95(1):47-63
After examining some of the background work relevant to double layers, the role constant current driven systems might play in the double layer formation is examined from two perspectives. First, a fluids analysis is considered via the method of characteristics. A density perturbation growth is predicted. Two model deficiencies, zero electron mass and lack of particle kinematics, suggest an improvement in the model via the Vlasov equation. This second model using the Vlasov equation still maintains a non-quasineutral posture. In addition to predicting the expected two-stream instability, the model also predicts a double layer-type electric field. 相似文献
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P. C. H. Martens G. D. R. Attrill A. R. Davey A. Engell S. Farid P. C. Grigis J. Kasper K. Korreck S. H. Saar A. Savcheva Y. Su P. Testa M. Wills-Davey P. N. Bernasconi N.-E. Raouafi V. A. Delouille J. F. Hochedez J. W. Cirtain C. E. DeForest R. A. Angryk I. De Moortel T. Wiegelmann M. K. Georgoulis R. T. J. McAteer R. P. Timmons 《Solar physics》2012,275(1-2):79-113
In Fall 2008 NASA selected a large international consortium to produce a comprehensive automated feature-recognition system for the Solar Dynamics Observatory (SDO). The SDO data that we consider are all of the Atmospheric Imaging Assembly (AIA) images plus surface magnetic-field images from the Helioseismic and Magnetic Imager (HMI). We produce robust, very efficient, professionally coded software modules that can keep up with the SDO data stream and detect, trace, and analyze numerous phenomena, including flares, sigmoids, filaments, coronal dimmings, polarity inversion lines, sunspots, X-ray bright points, active regions, coronal holes, EIT waves, coronal mass ejections (CMEs), coronal oscillations, and jets. We also track the emergence and evolution of magnetic elements down to the smallest detectable features and will provide at least four full-disk, nonlinear, force-free magnetic field extrapolations per day. The detection of CMEs and filaments is accomplished with Solar and Heliospheric Observatory (SOHO)/Large Angle and Spectrometric Coronagraph (LASCO) and ground-based Hα data, respectively. A?completely new software element is a trainable feature-detection module based on a generalized image-classification algorithm. Such a trainable module can be used to find features that have not yet been discovered (as, for example, sigmoids were in the pre-Yohkoh era). Our codes will produce entries in the Heliophysics Events Knowledgebase (HEK) as well as produce complete catalogs for results that are too numerous for inclusion in the HEK, such as the X-ray bright-point metadata. This will permit users to locate data on individual events as well as carry out statistical studies on large numbers of events, using the interface provided by the Virtual Solar Observatory. The operations concept for our computer vision system is that the data will be analyzed in near real time as soon as they arrive at the SDO Joint Science Operations Center and have undergone basic processing. This will allow the system to produce timely space-weather alerts and to guide the selection and production of quicklook images and movies, in addition to its prime mission of enabling solar science. We briefly describe the complex and unique data-processing pipeline, consisting of the hardware and control software required to handle the SDO data stream and accommodate the computer-vision modules, which has been set up at the Lockheed-Martin Space Astrophysics Laboratory (LMSAL), with an identical copy at the Smithsonian Astrophysical Observatory (SAO). 相似文献
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