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Książki na temat „Time-varying flow”

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Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 20 lutego 2023

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Sprawdź 31 najlepszych książek naukowych na temat „Time-varying flow”.

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1

Ang, Andrew. How to discount cashflow with time-varying expected returns. Cambridge, Mass: National Bureau of Economic Research, 2003.

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2

Gelbard, Fred. Modeling one-dimensional radionuclide transport under time-varying fluid-flow conditions. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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3

Gelbard, Fred. Modeling one-dimensional radionuclide transport under time-varying fluid-flow conditions. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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4

Gelbard, Fred. Modeling one-dimensional radionuclide transport under time-varying fluid-flow conditions. Washington, D.C: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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5

Merritt, Michael L. Computation of the time-varying flow rate from an artesian well in central Dade County, Florida, by analytical and numerical simulation methods. Tallahasssee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

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6

Merritt, Michael L. Computation of the time-varying flow rate from an artesian well in central Dade County, Florida, by analytical and numerical simulation methods. Tallahasssee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

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7

Merritt, Michael L. Computation of the time-varying flow rate from an artesian well in central Dade County, Florida, by analytical and numerical simulation methods. Tallahasssee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

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8

Merritt, Michael L. Computation of the time-varying flow rate from an artesian well in central Dade County, Florida, by analytical and numerical simulation methods. Tallahasssee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

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9

Merritt, Michael L. Computation of the time-varying flow rate from an artesian well in central Dade County, Florida, by analytical and numerical simulation methods. Washington: U.S. G.P.O., 1997.

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10

Merritt, Michael L. Computation of the time-varying flow rate from an artesian well in central Dade County, Florida, by analytical and numerical simulation methods. Tallahasssee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

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11

Merritt, Michael L. Computation of the time-varying flow rate from an artesian well in central Dade County, Florida, by analytical and numerical simulation methods. Tallahasssee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

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12

Jafarpour, Saber, i Andrew D. Lewis. Time-Varying Vector Fields and Their Flows. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10139-2.

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13

Dwoyer, D. L., i M. Y. Hussaini, red. Stability of Time Dependent and Spatially Varying Flows. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4724-1.

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14

L, Dwoyer Douglas, Hussaini M. Yousuff, Institute for Computer Applications in Science and Engineering. i Langley Research Center, red. Stability of time dependent and spatially varying flows: Proceedings of the Symposium on the Stability of Time Dependent and Spatially Varying Flows, held August 19-23, at NASA Langley Research Center, Hampton, Virginia. New York: Springer-Verlag, 1987.

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15

United States. National Aeronautics and Space Administration., red. Visualizing time-varying phenomena in numerical simulations of unsteady flows. [Washington, DC: National Aeronautics and Space Administration, 1996.

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16

United States. National Aeronautics and Space Administration., red. Visualizing time-varying phenomena in numerical simulations of unsteady flows. [Washington, DC: National Aeronautics and Space Administration, 1996.

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17

United States. National Aeronautics and Space Administration., red. Visualizing time-varying phenomena in numerical simulations of unsteady flows. [Washington, DC: National Aeronautics and Space Administration, 1996.

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18

United States. National Aeronautics and Space Administration., red. Visualizing time-varying phenomena in numerical simulations of unsteady flows. [Washington, DC: National Aeronautics and Space Administration, 1996.

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19

Munawar, Achmad. Queue and delay at priority intersection with time-varying flow and capacity. Bradford, 1985.

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20

Bella, David Wayne. Flow visualization of time-varying structural characteristics of Dean vortices in a curved channel. 1988.

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21

Geological Survey (U.S.), red. Computation of the time-varying flow rate from an artesian well in central Dade County, Florida, by analytical and numerical simulation methods. Tallahasssee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

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22

Geological Survey (U.S.), red. Computation of the time-varying flow rate from an artesian well in central Dade County, Florida, by analytical and numerical simulation methods. Tallahasssee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

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23

1939-, Sieverding C. H., i European Commission. Directorate-General XII, Science, Research, and Development., red. Experimental and numerical investigation of time varying wakes behind turbine blades: Results of the Industrial and Material Technology Aeronautics Research Project AER2-CT92-0048, 1992-1996. Braunschweig/Wiesbaden: Vieweg, 1999.

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24

Lewis, Andrew D., i Saber Jafarpour. Time-Varying Vector Fields and Their Flows. Springer London, Limited, 2014.

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25

Lewis, Andrew D., i Saber Jafarpour. Time-Varying Vector Fields and Their Flows. Springer, 2014.

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26

Dwoyer, D. L. Stability of Time Dependent and Spatially Varying Flows: Proceedings of the Symposium on the Stability of Time Dependent and Spatially Varying Flows. Springer-Verlag, 1987.

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27

Hussaini, M. Y., i D. L. Dwoyer. Stability of Time Dependent and Spatially Varying Flows: Proceedings of the Symposium on the Stability of Time Dependent and Spatially Varying Flows ... Langley Research Center, Hampton, Virginia. Springer, 2013.

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28

Wickerson, Erica. Myth. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198793274.003.0005.

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Streszczenie:
Mythology was of great interest to Mann and allusions to well-known myths appear in many guises across his works. It is also of interest in terms of narrative time. This chapter takes a selection of works in which Mann toys—to varying degrees of subtlety—with mythic tales, and explores the way in which nods to well-known mythological tales affect the subjective flow of time. I explore the different models presented in Felix Krull, Blood of the Walsungs, and Doctor Faustus, and compare these to Günter Grass’s The Tin Drum, a work that engages closely with Mann’s writing. This analysis illustrates the temporally stagnating effect of mythological repetition—at the level of both plot and story—as well as the instability caused by divergence from expectation.
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29

Stability of Time Dependent and Spatially Varying Flows: Proceedings of the Symposium on the Stability of Time Dependent and Spatially Varying Flows Held ... 19-23,1985 at NASA Langley Research Center. Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1987.

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30

Hussaini, M. Y., i D. L. Dwoyer. Stability of Time Dependent and Spatially Varying Flows: Proceedings of the Symposium on the Stability of Time Dependent and Spatially Varying Flows Held August 19-23, 1985, at NASA Langley Research Center, Hampton, Virginia. Springer London, Limited, 2013.

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31

Tibaldi, Stefano, i Franco Molteni. Atmospheric Blocking in Observation and Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.611.

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Streszczenie:
The atmospheric circulation in the mid-latitudes of both hemispheres is usually dominated by westerly winds and by planetary-scale and shorter-scale synoptic waves, moving mostly from west to east. A remarkable and frequent exception to this “usual” behavior is atmospheric blocking. Blocking occurs when the usual zonal flow is hindered by the establishment of a large-amplitude, quasi-stationary, high-pressure meridional circulation structure which “blocks” the flow of the westerlies and the progression of the atmospheric waves and disturbances embedded in them. Such blocking structures can have lifetimes varying from a few days to several weeks in the most extreme cases. Their presence can strongly affect the weather of large portions of the mid-latitudes, leading to the establishment of anomalous meteorological conditions. These can take the form of strong precipitation episodes or persistent anticyclonic regimes, leading in turn to floods, extreme cold spells, heat waves, or short-lived droughts. Even air quality can be strongly influenced by the establishment of atmospheric blocking, with episodes of high concentrations of low-level ozone in summer and of particulate matter and other air pollutants in winter, particularly in highly populated urban areas.Atmospheric blocking has the tendency to occur more often in winter and in certain longitudinal quadrants, notably the Euro-Atlantic and the Pacific sectors of the Northern Hemisphere. In the Southern Hemisphere, blocking episodes are generally less frequent, and the longitudinal localization is less pronounced than in the Northern Hemisphere.Blocking has aroused the interest of atmospheric scientists since the middle of the last century, with the pioneering observational works of Berggren, Bolin, Rossby, and Rex, and has become the subject of innumerable observational and theoretical studies. The purpose of such studies was originally to find a commonly accepted structural and phenomenological definition of atmospheric blocking. The investigations went on to study blocking climatology in terms of the geographical distribution of its frequency of occurrence and the associated seasonal and inter-annual variability. Well into the second half of the 20th century, a large number of theoretical dynamic works on blocking formation and maintenance started appearing in the literature. Such theoretical studies explored a wide range of possible dynamic mechanisms, including large-amplitude planetary-scale wave dynamics, including Rossby wave breaking, multiple equilibria circulation regimes, large-scale forcing of anticyclones by synoptic-scale eddies, finite-amplitude non-linear instability theory, and influence of sea surface temperature anomalies, to name but a few. However, to date no unique theoretical model of atmospheric blocking has been formulated that can account for all of its observational characteristics.When numerical, global short- and medium-range weather predictions started being produced operationally, and with the establishment, in the late 1970s and early 1980s, of the European Centre for Medium-Range Weather Forecasts, it quickly became of relevance to assess the capability of numerical models to predict blocking with the correct space-time characteristics (e.g., location, time of onset, life span, and decay). Early studies showed that models had difficulties in correctly representing blocking as well as in connection with their large systematic (mean) errors.Despite enormous improvements in the ability of numerical models to represent atmospheric dynamics, blocking remains a challenge for global weather prediction and climate simulation models. Such modeling deficiencies have negative consequences not only for our ability to represent the observed climate but also for the possibility of producing high-quality seasonal-to-decadal predictions. For such predictions, representing the correct space-time statistics of blocking occurrence is, especially for certain geographical areas, extremely important.
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