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Source-oriented atmospheric

Source-oriented atmospheric dispersion modeling has been the major tool used in attributing ambient concentrations to source emissions. With the development of inexpensive and rapid chemical analysis techniques for dividing ambient and source particulate matter into its components has come another approach, the receptor model. [Pg.90]

The Gaussian Plume Model is the most well-known and simplest scheme to estimate atmospheric dispersion. This is a mathematical model which has been formulated on the assumption that horizontal advection is balanced by vertical and transverse turbulent diffusion and terms arising from creation of depletion of species i by various internal sources or sinks. In the wind-oriented coordinate system, the conservation of species mass equation takes the following form ... [Pg.285]

The solid-flame model, presented in Section 3.5.2, is more realistic than the point-source model. It addresses the fireball s dimensions, its surface-emissive power, atmospheric attenuation, and view factor. The latter factor includes the object s orientation relative to the fireball and its distance from the fireball s center. This section provides information on emissive power for use in calculations beyond that presented in Section 3.5.2. Furthermore, view factors applicable to fireballs are discussed in more detail. [Pg.176]

Source-dispersion and receptor-oriented models have a common physical basis. Both assume that mass arriving at a receptor (sampling site) from source j was transported with conservation of mass by atmospheric dispersion of source emitted material. From the source-dispersion model point of view, the mass collected at the receptor from source j, Mj, Is the dependent variable which Is equal to the product of a dispersion factor, Dj (which depends on wind speed, wind direction, stability, etc.) and an emission rate factor, Ej, 1. e. , ... [Pg.77]

Other factors of importance in atmospheric corrosion of zinc are (i) the distance from the ground (ii) orientation of the samples (iii) wind or rain shielding (iv) distance to the local contaminant sources (v) wind, radiation (vi) condensation and drying rate (vii) amount of contaminants and nature of corrosion products and (viii) seasonal variation of factors also should be considered. This shows the complexity of the problem of determining the atmospheric corrosion rates to a high degree of certainty. This uncertainty is exemplified by the observed corrosion rate of 0.6-3.8 pm/yr at 26 sites in rural area in Spain.95 The corrosion rate of 8.5 pm/yr observed on the zinc coating in an under-vehicle situation is comparable to severe marine atmospheric conditions.96... [Pg.285]

Neptune is the eighth planet from the Sun and about four times the size of Earth. Astronomers consider Neptune to form with Uranus a subgroup of the Jovian planets (Jupiter, Saturn, Uranus, and Neptune). Neptune and Uranus are similar in size, mass, periods of their rotation, the overall features of their magnetic fields, and ring systems. However they differ in the structure of their atmospheres (perhaps the more conspicuous features of Neptune s clouds are caused by its significant internal energy source, which Uranus lacks), the orientations of their rotation axes, and in their satellite systems. [Pg.506]

Pure and NaP-modified MnOx-catalysts were used in our study. Due to easy visualization by AFM, the MnOx layer was placed on a Si-wafer substrate (1 cm x 1 cm plate), by a reactive deposition technique. The sample preparation was carried out in a vacuum installation equipped with an resistance evaporator. Metallic manganese (99.8%) as a source and a Si wafer with a surface orientation (111) and resistivity of 7.5 ohm/cm as support, were used. During MnOx deposition, an oxygen partial pressure of ca 10 torr, in dynamic mode, was maintained. Before used for the catalytic purpose, MnOx samples were calcined in air at 700°C for 60min. In order to prepare the NaP-modified catalyst, the MnOx samples were impregnated in a diluted Na4P20 solution (5 wt %), dried and finally calcined at 500° C, in air during 30 min. The interaction with methane was performed in a quartz reactor in a methane atmosphere at 700° 5° C. [Pg.656]

Finally, the time that a specimen is wet depends on sunlight heating, prevailing winds, and specimen geometry. Specimen orientation is, therefore, much more critical in atmospheric galvanic corrosion testing. Standard orientations are specified in ASTM G 50 as 30° to the horizontal facing south or the nearest source of corrodent (the sea). [Pg.240]

After presenting an overview chapter and the fundamentals, the book focuses on instrumentation and ionization sources. It describes an ion-mobility-capable quadrupole time-of-flight mass spectrometer, the differential mobility analyzer, a cryogenic-temperature ion mobility mass spectrometer, the atmospheric solids analysis probe method, and laserspray ionization. In the final applications-oriented chapters, the contributors explore how homebuilt and commercial instruments using electrospray ionization and matrix-assisted laser desorption/ionization (MALDl) methods are employed to solve biological and synthetic issues. [Pg.361]

Discharge point of atmospheric releases must be located and oriented so that flammable concentrations do not reach ignition sources. [Pg.297]

The circulation of Earth s atmosphere is driven by heat from the Sim on the global scale, air circulation carries heat from warm equatorial regions to colder polar regions. The amount of power per unit area delivered by the Sun is called the solar constant and is approximately 1400 W/m, as measured on a unit area oriented perpendicular to the Sun s rays and located at Earth s mean distance from the Sun. This enormous rate of energy flow, averaged over Earth, dwarfs the combined output of all engines, power plants, industrial furnaces, and other anthropogenic heat sources. [Pg.338]


See other pages where Source-oriented atmospheric is mentioned: [Pg.419]    [Pg.166]    [Pg.16]    [Pg.126]    [Pg.1197]    [Pg.79]    [Pg.48]    [Pg.100]    [Pg.81]    [Pg.323]    [Pg.1273]    [Pg.1611]    [Pg.527]    [Pg.268]    [Pg.475]    [Pg.243]    [Pg.993]    [Pg.296]    [Pg.297]    [Pg.360]    [Pg.339]    [Pg.506]    [Pg.179]    [Pg.195]    [Pg.628]    [Pg.124]    [Pg.45]    [Pg.1]    [Pg.132]   
See also in sourсe #XX -- [ Pg.90 ]




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Atmospheric modeling, source-oriented

Atmospheric sources

Source-oriented

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