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Transport process, second-order effects

In addition to the limitations of the continuum approaches in being able to accurately represent transport processes under strongly nonequilibrium conditions, the formulation of physically meaningful boundary conditions may also be problematic. For the Euler equations, the boundary conditions at the vehicle surface must be adiabatic for energy and no slip for momentum. Use of the Navier-Stokes equations allows stipulation of isothermal temperature and slip velocity conditions. However, under strongly nonequilibrium conditions, these boundary conditions will fail to reproduce the physical behavior accurately. The situation for the Burnett equations is even worse since the required boundary conditions must include second order effects. [Pg.86]

PEST. This code ( 3) was developed within the framework of Rensselaer Polytechnic Institute s CLEAN (Comprehensive Lake Ecosystem Analyzer) model. It includes highly elaborated algorithms for biological phenomena, as described in this volume (44). For example, biotransformation is represented via second-order equations in bacterial population density (Equation 5) in the other codes described in this section PEST adds to this effects of pH and dissolved oxygen on bacterial activity, plus equations for metabolism in higher organisms. PEST allows for up to 16 compartments (plants, animals, etc.), but does not include any spatially resolved computations or transport processes other than volatilization. [Pg.36]

Many investigators consider neutralization as a poorly understood process in the gas phase. While in the best possible cases it may be considered as a homogeneous second-order process, detailed experimentation in specific cases sometimes fails to establish that (Freeman, 1968 Meisels, 1968). At low dose rates and low gas pressures, wall effects can be seen as a major inhibiting factor, as most neutralizations would then be expected to occur on the walls. Coating the wall with specific chemicals has not lead to a uniform conclusion. On the other hand, wall effects are also present at high dose rates. In such cases, and with gas pressure greater than about 0.1 atm, normal positive ions cannot reach the walls if the size of the vessel is 10 cm or more (Freeman, 1968). Even for electrons, it is hard. Large-scale convection is supposed to be the chief transport mechanism this, however, is difficult to establish experimentally. [Pg.127]

The terms oc(i,j)s and A(i,/)s collectively describe a kinetic coefficient for the coagulation or aggregation of suspended particles of sizes i and j. They have analogies with but are not identical to the terms a(p, c) and tj(p, c) used previously in describing the kinetics of particle deposition processes in porous media. Like q p, c), the term l i,j)s incorporates information about various processes of particle transport, although as used here hydrodynamic retardation is not considered. Unlike t/(p, c), X(iJ)s is not a ratio of fluxes. It is a rate coefficient that includes most physical aspects the second-order coagulation reaction. Like a(p, c), the term a(i, j)s incorporates chemical aspects of the interactions between two colliding solids however, as used here, the effects of hydrodynamic retardation are subsumed in ot(iJ)s. The term a(i,j)s is a ratio defined here as follows ... [Pg.459]

This chapter will explore the urban planning dimensions of the Olympics and world s fairs, with emphasis on several elements that tend to be ignored due to preoccupation with the event itself and not the preparation or after effects. First, the organization and preparation of the event usually takes specialized organizations and truncates existing development processes in order the meet the timelines for the event. Second, the massive scale of redevelopment associated with these events requires construction of event spaces and transportation infrastructure. Finally, postevent land use and the incorporation of the sites into the city will be discussed. Data for the paper are drawn from Olympics and world s fairs held during the past 50 years. [Pg.1046]


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Effective transport

Ordering processes

Second-order effects

Second-order processes

Transport effects

Transport processes

Transportation processes

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