60,926 research outputs found
THE CHANGING NATURE OF RURAL COMMUNITIES
Community/Rural/Urban Development,
Effective degrees of nonlinearity in a family of generalized models of two-dimensional turbulence
We study the small-scale behavior of generalized two-dimensional turbulence
governed by a family of model equations, in which the active scalar
is advected by the incompressible flow
. The dynamics of this family are characterized by the
material conservation of , whose variance is
preferentially transferred to high wave numbers. As this transfer proceeds to
ever-smaller scales, the gradient $\nabla\theta$ grows without bound. This
growth is due to the stretching term $(\nabla\theta\cdot\nabla)\u$ whose
``effective degree of nonlinearity'' differs from one member of the family to
another. This degree depends on the relation between the advecting flow $\u$
and the active scalar $\theta$ and is wide ranging, from approximately linear
to highly superlinear. Linear dynamics are realized when $\nabla\u$ is a
quantity of no smaller scales than $\theta$, so that it is insensitive to the
direct transfer of the variance of $\theta$, which is nearly passively
advected. This case corresponds to $\alpha\ge2$, for which the growth of
$\nabla\theta$ is approximately exponential in time and non-accelerated. For
$\alpha<2$, superlinear dynamics are realized as the direct transfer of
entails a growth in \nabla\u, thereby enhancing the production
of . This superlinearity reaches the familiar quadratic
nonlinearity of three-dimensional turbulence at and surpasses that
for . The usual vorticity equation () is the border line,
where \nabla\u and are of the same scale, separating the linear and
nonlinear regimes of the small-scale dynamics. We discuss these regimes in
detail, with an emphasis on the locality of the direct transfer.Comment: 6 journal pages, to appear in Physical Review
Extent of regretted sexual intercourse among young teenagers in Scotland: a cross sectional survey
No abstract available
Vortical control of forced two-dimensional turbulence
A new numerical technique for the simulation of forced two-dimensional turbulence (Dritschel and Fontane, 2010) is used to examine the validity of Kraichnan-Batchelor scaling laws at higher Reynolds number than previously accessible with classical pseudo-spectral methods,making use of large simulation ensembles to allow a detailed consideration of the inverse cascade in a quasi-steady state. Our results support the recent finding of Scott (2007), namely that when a direct enstrophy cascading range is well-represented numerically, a steeper energy spectrum proportional to k^(−2) is obtained in place of the classical k^(−5/3) prediction. It is further shown that this steep spectrum is associated with a faster growth of energy at large scales, scaling like t^(−1) rather than Kraichnan’s prediction of t^(−3/2). The deviation from Kraichnan’s theory is related to the emergence of a population of vortices that dominate the distribution of energy across scales, and whose number density and vorticity distribution with respect to vortex area are related to the shape of the enstrophy spectrum. An analytical model is proposed which closely matches the numerical spectra between the large scales and the forcing scale
SATMC: Spectral Energy Distribution Analysis Through Markov Chains
We present the general purpose spectral energy distribution (SED) fitting
tool SED Analysis Through Markov Chains (SATMC). Utilizing Monte Carlo Markov
Chain (MCMC) algorithms, SATMC fits an observed SED to SED templates or models
of the user's choice to infer intrinsic parameters, generate confidence levels
and produce the posterior parameter distribution. Here we describe the key
features of SATMC from the underlying MCMC engine to specific features for
handling SED fitting. We detail several test cases of SATMC, comparing results
obtained to traditional least-squares methods, which highlight its accuracy,
robustness and wide range of possible applications. We also present a sample of
submillimetre galaxies that have been fitted using the SED synthesis routine
GRASIL as input. In general, these SMGs are shown to occupy a large volume of
parameter space, particularly in regards to their star formation rates which
range from ~30-3000 M_sun yr^-1 and stellar masses which range from
~10^10-10^12 M_sun. Taking advantage of the Bayesian formalism inherent to
SATMC, we also show how the fitting results may change under different
parametrizations (i.e., different initial mass functions) and through
additional or improved photometry, the latter being crucial to the study of
high-redshift galaxies.Comment: 17 pages, 11 figures, MNRAS accepte
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The role of consumption in material reduction opportunities: the impact of product lifetime in supplying the UK steel demand
Most of the products purchased in the UK are manufactured in other countries. As a result, worldwide greenhouse gases (GHG) emissions released to manufacture all products purchased in the UK are significantly higher than the UK territorial emissions. More than one half of global industrial emissions result from the use of steel, cement, paper, plastics, and aluminium. In this paper, the UK consumption of products that embody these five materials is estimated. For steel, which is the most widely used among these five materials, consumption and accumulation patterns are examined across four product categories. The impact of steel product lifetime extension is examined for the UK as one option for material demand reduction at the consumption stage of the supply chain. Different levels of steel product lifetimes are simulated for the UK in 2050 and their impacts are examined in terms of UK steel production, implicit steel imports, and global carbon dioxide emissions. Steel product lifetime extension promotes a reduction in the need for steel imports, by reducing the demand for new steel, which leads to lower carbon dioxide emissions required to supply the UK steel demand. The results demonstrate the criticality of a focus on the consumption stage, since any interventions made towards demand reduction of end-use goods leads to material reduction across the supply chain
Generational research: between historical and sociological imaginations
This paper reflects on Julia Brannen’s contribution to the development of theory and methods for intergenerational research. The discussion is contextualised within a contemporary ‘turn to time’ within sociology, involving tensions and synergies between sociological and historical imagination. These questions are informed by a juxtaposition of Brannen’s four-generation study of family change and social historian Angela Davis’s exploration women and the family in England between 1945 and 2000. These two studies give rise to complementary findings, yet have distinctive orientations towards the status and treatment of sources, the role of geography in research design and limits of generalisatio
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