Mesoscale transport and dispersion of air pollutants from a few major point sources in the Mississippi Gulf coastal region is calculated using a coupled modeling system consisting of the atmospheric dynamical model WRF and the lagrangian particle model HYSPLIT. The sensitivity of the dispersion model results to the meteorological fields is studied by conducting an ensemble of simulations using ...

Abstract This paper reviewed the studies of livestock odour dispersion modeling including odor sources, odor emission rate, odor characteristics and measurements, odor dispersion modeling methods, and methods and results of adapting industrial air dispersion models for livestock odor dispersion simulations. The Gaussian plume models, Puff models, Fluctuating models and other models that have be...

We challenge the assumption that within-team variability in team efficacy is simply a methodological concern and statistical prerequisite. We do so by developing a theoretical model and research agenda for the study of dispersion in team efficacy. We construct a taxonomy that distinguishes four distinct forms of dispersion in team efficacy, discuss the antecedents to these forms of dispersion, ...

In this paper we investigate the relationship between price dispersion and inflation; we use weekly retail scanner data from 2009 to 2011 to measure price dispersion and inflation for several dairy products. We implement a linear model to investigate the linkage between price dispersion and consumer price indexes. As in the previous literature, we obtain mixed results with respect to the relati...

Nuclear magnetic relaxation dispersion (NMRD) measurements can provide valuable information about the dynamics and structure of macromolecular solutions and other complex fluids. A large number of 1H NMRD studies of water in concentrated protein solutions and in semisolid biological samples have been reported. The observed dispersion usually extends over a wide frequency range and then cannot b...

We calculate the antiferromagnetic spin wave dispersion in the half-filled (electronic density n = 1) Hubbard model for a two-dimensional square lattice, using the random phase approximation (RPA) in a broken symmetry (spin density wave) ground state. Our results for the spin wave dispersion, ω(q), are compared with high-resolution inelastic neutron scattering performed on La 2 CuO 4. The effec...

The dispersion coefficient tensor including off-diagonal components was introduced in the flow with secondary currents, which is called skewed shear flow dispersion SSFD coefficient tensor, in this paper. To observe the detailed effect of cross-dispersion terms in SSFD model on solute dispersion, mathematical analysis of eigenvalue problem with respect to the equation with SSFD coefficient tens...

This paper analytically studies queueing performance improvement with traffic dispersion. We model sources and paths between sources and destinations as generalized binary Markov sources and discrete-time queues, respectively. We suppose that random order dispersion is employed in packet network, and we examine the effect of random order dispersion on the asymptotic tail distribution of the que...

10 Because all models are a simplification of the phenomenon they aim to represent, it is 11 often more useful to estimate the probability of an event rather than a single “best” model 12 result. Previous air quality ensemble approaches have used computationally expensive 13 simulations of separately developed modeling systems. We present an efficient method 14 to generate ensembles with hundre...

Analysts need to do a better job of characterizing climate “surprises” — the low-probability but high-consequence scenarios — that are driving much of the international concern about climate change. Currently, most analyses rely on models or projections that assume “smooth behavior” — i.e., the climate responds slowly and predictably, gradually warming as atmospheric GHG concentrations increase...