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Journal articles on the topic 'Dispersion parameters'

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Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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1

Abdullah, Rasha A., Nada M. Saeed, Hussain Kh. Al Khalid, and Mohammed A. Razooqi. "Dispersion Parameters of Thin Cadmium Telluride Films at Different Thicknesses." International Journal of Scientific Research 2, no. 3 (June 1, 2012): 368–70. http://dx.doi.org/10.15373/22778179/mar2013/120.

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2

Pinker, R. T., and J. Z. Holland. "Dispersion Parameters over Forested Terrain." Journal of Applied Meteorology 27, no. 11 (November 1988): 1198–217. http://dx.doi.org/10.1175/1520-0450(1988)027<1198:dpoft>2.0.co;2.

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3

Qin, Xilin, Zhixian Gui, Fei Yang, and Yuanyuan Liu. "Anisotropic frequency-dependent characteristics of PP- and PS-waves in partially saturated double-porosity rocks." Journal of Geophysics and Engineering 18, no. 3 (June 2021): 355–68. http://dx.doi.org/10.1093/jge/gxab019.

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Abstract Most frequency-dependent AVO inversions are currently based on an approximate equation derived using an isotropic medium. However, actual reservoirs usually show anisotropy, such as shale reservoirs, tight sandstone reservoirs and fractured reservoirs. We propose a joint frequency-dependent AVO (JFAVO) inversion in an anisotropic medium based on a periodic layered double-porosity medium. This JFAVO will allow us to quantitatively study the influence of fluids on the dispersion of PP- and PS-wave velocities and anisotropic parameters. First, we used a double-porosity medium to analyse the frequency-dependent characteristics of velocities and anisotropy parameters. We found that the anisotropic parameters show obvious dispersions, similar to those of velocities. Then, we derived the JFAVO inversion based on Rüger's equation to extract the dispersion of velocities and anisotropic parameters. Finally, we analysed the stability and applicability of the inversion algorithm, and used three sets of models to analyse the sensitivity of dispersion properties to fluids. The numerical analysis results show that PP-wave velocity dispersion and anisotropic parameter δ dispersion are sensitive to fluids, whereas, the velocity dispersion of the PS-wave is not. When saturation exceeds 80%, the velocity dispersion and anisotropic parameter dispersion properties are not sensitive to fluids.

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4

Xu, Zheng, Yan Xue, and Zhihao Huang. "Dependence of Dispersion on Metamaterial Structural Parameters and Dispersion Management." Applied Sciences 8, no. 7 (June 28, 2018): 1057. http://dx.doi.org/10.3390/app8071057.

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5

Albornoz-Palma, Gregory, Daniel Ching, Andrea Andrade, Sergio Henríquez-Gallegos, Regis Teixeira Mendonça, and Miguel Pereira. "Relationships between Size Distribution, Morphological Characteristics, and Viscosity of Cellulose Nanofibril Dispersions." Polymers 14, no. 18 (September 14, 2022): 3843. http://dx.doi.org/10.3390/polym14183843.

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Rheological parameters of cellulose nanofibril dispersions (CNF) are relevant and commonly used as quality control for producing of this type of material. These parameters are affected by morphological features and size distribution of the nanofibrils. Understanding the effect of size distribution is essential for analyzing the rheological properties, viscosity control, performance of CNFs, and potential dispersion applications. This study aims at comprehending how the morphological characteristics of the CNFs and their size distribution affect the rheological behavior of dispersions. The CNF dispersions were fractionated by size, obtaining six fractions of each, which were analyzed for their morphology and rheology (viscosity, intrinsic viscosity). In the dilute region, the viscosity and intrinsic viscosity behavior of CNF dispersions are linear concerning the size distribution present in the dispersion. In the semi-dilute region, the size of the fibrils and the fiber aggregates have a relevant effect on the viscosity behavior of CNF dispersions, which are satisfactorily related (R2 = 0.997) using the rule of logarithmic additivity of the dispersion viscosities of size fractions.

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6

KOBAYASHI, Toshikatsu. "Interface Scientific Parameters for Pigment Dispersion." Journal of the Japan Society of Colour Material 78, no. 2 (2005): 64–71. http://dx.doi.org/10.4011/shikizai1937.78.64.

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7

Mohamed El-Sayed, Ahmed Mohamed. "A New Approach for Dispersion Parameters." Journal of Applied Mathematics and Physics 04, no. 08 (2016): 1554–66. http://dx.doi.org/10.4236/jamp.2016.48165.

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8

Kolosko, Anatoly G., Eugeni O. Popov, Sergey V. Filippov, and Pavel A. Romanov. "Statistical dispersion of nanocomposite emission parameters." Journal of Vacuum Science & Technology B, Nanotechnology and Microelectronics: Materials, Processing, Measurement, and Phenomena 33, no. 3 (May 2015): 03C104. http://dx.doi.org/10.1116/1.4904738.

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9

Fokina, V. Yu, E. А. Kizima, I. V. Miheev, A. I. Ivankov, and V. M. Garamus. "STRUCTURAL PARAMETERS OF AQUEOUS COLLOIDAL DISPERSIONS OF FULLERENE C60." Bulletin of Dubna International University for Nature, Society, and Man. Series: Natural and engineering sciences, no. 4 (45) (December 30, 2019): 31–37. http://dx.doi.org/10.37005/1818-0744-2019-4-31-37.

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Two types of fullerene C60 water dispersions were investigated by a small-angle X-ray and neutron scattering. As a result, structural parameters of fullerene aggregates were obtained. The water dispersions were obtained by the solvent-exchange technique and by huge dilution of initial C60/Nmethylpyrrolidone solution. The structure organization of water dispersions is considered in respect to their technique preparation. It was shown that fullerene aggregates were characterized by highly polydispersity in size for all dispersions. In the case of son/nC60 dispersion it was found that fullerenes formed aggregates with a dense nucleus (namely a surface fractal) with a radius of 58 ± 1 nm and a fractal dimension of 2.3. In turn, the nmp/nC60 system was characterized by the branched aggregates with fractal dimension 1.5 and bimodal particle size distribution.

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10

Quinault, J. M., A. B. Mayhoub, and G. Deville Cavelin. "An atmospheric dispersion model with continuous vertical variation of dispersion parameters." Theoretical and Applied Climatology 58, no. 1-2 (1997): 113–27. http://dx.doi.org/10.1007/bf00867438.

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11

Liu, Xiong, Ajit Godbole, Cheng Lu, Guillaume Michal, and Philip Venton. "Optimisation of dispersion parameters of Gaussian plume model for CO2 dispersion." Environmental Science and Pollution Research 22, no. 22 (September 15, 2015): 18288–99. http://dx.doi.org/10.1007/s11356-015-5404-8.

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12

Jin, J., W. Kaewsakul, J. W. M. Noordermeer, W. K. Dierkes, and A. Blume. "MACRO- AND MICRO-DISPERSION OF SILICA IN TIRE TREAD COMPOUNDS: ARE THEY RELATED?" Rubber Chemistry and Technology 94, no. 2 (April 1, 2021): 355–75. http://dx.doi.org/10.5254/rct.20.80365.

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ABSTRACT The dispersion of rubber fillers, such as silica, can be divided into two categories: macro- and micro-dispersion. Both dispersions are important; however, to achieve the best reinforcement of rubber, micro-dispersion of silica is crucial. The common view is that these filler dispersions are strongly related. The micro-dispersion is understood as the consequence of the continuous breakdown of filler clusters from macro-dispersion. Yet, a large problem is that an objective unequivocal direct measurement method for micro-dispersion is not available. In this study, a set of parameters is defined that are anticipated to have an influence on the micro- as well as the macro-dispersion. Mixing trials are performed with varying silanization temperature and time, different amounts of silane coupling agent, and by using silicas with different structures and specific surface areas. The degrees of micro- and macro-dispersion are evaluated by measuring the Payne effect as an indirect method for micro-dispersion and using a dispergrader for quantitative measurement of macro-dispersion. The results show that the filler dispersion processes happen simultaneously but independently. These results are supported by earlier work of Blume and Uhrlandt, who stated as well that micro- and macro-dispersion are independent. The major influencing factors on micro- and macro-dispersion of silica are also identified.

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13

Gubashi, Karim R. "Using Hydraulic Parameters to Estimate Longitudinal Dispersion Coefficient in Open Channel." Tikrit Journal of Engineering Sciences 16, no. 1 (March 31, 2009): 42–62. http://dx.doi.org/10.25130/tjes.16.1.04.

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A comparative analysis of previous theoretical and empirical equations is applied to evaluate their behavior in predicting dispersion coefficient in open channel. A new simplified method for predicting dispersion coefficients using hydraulic parameters is developed. A nonlinear multiple regression method is prepared to derive a new equation of dispersion coefficient. This equation is proven to be superior in explaining dispersion coefficient of open channel more precisely, as compared to existing equations. Keywords: Longitudinal dispersion, hydraulic parameters, dispersion coefficients.

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14

Dursun, Tolga. "Effects of Projectile and Gun Parameters on the Dispersion." Defence Science Journal 70, no. 2 (March 9, 2020): 166–74. http://dx.doi.org/10.14429/dsj.70.14922.

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Main battle tanks constitute one of the most powerful fire powers for the armoured land forces. To use this very high fire power efficiently, the dispersion of shot impacts becomes crucial. Dispersion is affected by the aerodynamic factors, gun-projectile interactions, projectile and gun dependent factors, manufacturing tolerances and environmental factors. The change in aerodynamic factors and environmental conditions varies the aerodynamic forces applied on the projectile and this affects the dispersion characteristics of the projectile. In this study, the effects of the changes in recoil stiffness, gun support stiffness, projectile muzzle velocity and manufacturing tolerances of projectile forward/rear bourrelet diameters on the dispersion for 120 mm L44 and L55 calibre guns are investigated. Armour piercing fin stabilised discarding sabot type projectile is used in the analysis. Statistical dispersion analyses including interior ballistic, in-bore balloting and exterior ballistic analyses are conducted using PRODAS ballistic software. According to the results, it is determined that the decrease in projectile/bore clearance (forward/rear bourrelet diameter) results in improved dispersion of ammunition. The 10% changes from the nominal recoil stiffness and the vertical support stiffness values have negligible effects on the dispersion. In addition, the results show that muzzle velocity variations influence the dispersion in vertical direction substantially. Using the procedure applied in this study, it is shown that different clearance conditions can be analysed and most suitable tolerances may be determined taking into consideration of both the gun system performance and manufacturability.

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15

Journal, Baghdad Science. "Dispersion Parameters of Copper Sulphate Doped PMMA." Baghdad Science Journal 7, no. 1 (March 7, 2010): 162–67. http://dx.doi.org/10.21123/bsj.7.1.162-167.

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Films of PMMA and copper sulphate doped PMMA have been prepared by casting method. Absorbance and transmittance spectra were recorded in the wavelength range (300-900) nm in order to calculate, single oscillator energy, dispersion energy, average oscillator strength, the refractive index at infinite wavelength, M-1 and M -3 moments of the optical spectra, it was found that all these parameters were effected by doping.

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16

Suchkov, N. M., and Yu S. Tarasov. "On uniform permutations with finite dispersion parameters." Proceedings of the Steklov Institute of Mathematics 285, S1 (June 2014): 163–68. http://dx.doi.org/10.1134/s0081543814050186.

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17

Grevstad, Nels. "Simultaneous estimation of negative binomial dispersion parameters." Statistics & Probability Letters 81, no. 12 (December 2011): 1751–55. http://dx.doi.org/10.1016/j.spl.2011.07.020.

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18

Toyoda, Taro. "The optical dispersion parameters in WO3thin films." Journal of Applied Physics 63, no. 10 (May 15, 1988): 5166–68. http://dx.doi.org/10.1063/1.340420.

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19

Mikiporis, Yu A., and A. V. Antonov. "Selecting the parameters of hydrodynamic dispersion units." Russian Engineering Research 28, no. 4 (April 2008): 305–6. http://dx.doi.org/10.3103/s1068798x08040059.

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20

Beven, Keith J., D. Ed Henderson, and Alison D. Reeves. "Dispersion parameters for undisturbed partially saturated soil." Journal of Hydrology 143, no. 1-2 (March 1993): 19–43. http://dx.doi.org/10.1016/0022-1694(93)90087-p.

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21

Schaal, Christoph, Miriam Krautter, and Michael Hanss. "Dispersion in Cylindrical Waveguides with Uncertain Parameters." PAMM 12, no. 1 (December 2012): 537–38. http://dx.doi.org/10.1002/pamm.201210257.

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22

Rines, Kenneth J., Jubee Sohn, Margaret J. Geller, and Antonaldo Diaferio. "A Spectroscopic View of the JWST/GTO Strong Lensing Cluster A1489." Astrophysical Journal 930, no. 2 (May 1, 2022): 156. http://dx.doi.org/10.3847/1538-4357/ac67a8.

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Abstract We discuss a spectroscopic survey of the strong lensing cluster A1489 that includes redshifts for 195 cluster members along with central velocity dispersions for 188 cluster members. The caustic technique applied to the redshift survey gives the dynamical parameters M 200 = (1.25 ± 0.09) × 1015 M ⊙, R 200 = 1.97 ± 0.05 Mpc, and a cluster line-of-sight velocity dispersion of 1150 ± 72 km s−1 within R 200. These parameters are very similar to those of other strong lensing systems with comparably large Einstein radii. We use the spectroscopy and deep photometry to demonstrate that A1489 is probably dynamically active; its four brightest cluster galaxies have remarkably different rest-frame radial velocities. Like other massive strong lensing clusters, the velocity dispersion function for members of A1489 shows an excess for dispersions ≳250 km s−1. The central dispersions also provide enhanced constraints on future lensing models.

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23

Sharba, Khansaa Saleem. "Enhancement of Urbach Energy and Dispersion Parameters of Polyvinyl Alcohol with Kaolin Additive." NeuroQuantology 18, no. 3 (March 30, 2020): 66–73. http://dx.doi.org/10.14704/nq.2020.18.3.nq20152.

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24

Varma, Mohan M., and Satish Kumar P. "Formulation and Evaluation of Gliclazide Tablets Containing PVP-K30 and Hydroxypropyl-β-cyclodextrin Solid Dispersion." International Journal of Pharmaceutical Sciences and Nanotechnology 5, no. 2 (August 31, 2012): 1706–19. http://dx.doi.org/10.37285/ijpsn.2012.5.2.6.

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Gliclazide is an anti-diabetic drug. It is a BCS class-II (poorly water soluble) drug and its bioavailability is dissolution rate limited. The dissolution rate of the drug was enhanced by using the solid dispersion technique. Solid dispersions were prepared using PVP-K30 (polyvinylpyrrolidone) and hydroxypropyl-β-cyclodextrin (HP BCD) as the hydrophilic carriers. The solid dispersions were characterized by using DSC (Differential scanning calorimetry), XRD (X-ray diffractometry) and FTIR (Fourier transform infrared spectroscopy). Solid dispersions were formulated into tablets. The formulated tablets were evaluated for the quality control parameters and dissolution rates. The solid-dispersion tablets enhanced the dissolution rate of the poorly soluble drug. The optimized formulation showed a 3 fold faster drug release compared to the branded tablet. The XRD studies demonstrated the remarkable reduction in the crystallinity of the drug in the solid dispersion. The faster dissolution rate of the drug from the solid dispersion is attributed to the marked reduction in the crystallinity of the drug. The DSC and FTIR studies demonstrated the absence of the drug-polymer interaction.

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25

Durgut, Emrah, Mustafa Cinar, Mert Terzi, Ilgin Kursun Unver, Yildiz Yildirim, Feridun Boylu, and Orhan Ozdemir. "Effect of Blunging/Dispersion Parameters on Separation of Halloysite Nanotubes from Gangue Minerals." Minerals 12, no. 6 (May 28, 2022): 683. http://dx.doi.org/10.3390/min12060683.

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Clay minerals need to be dispersed with blungers before their utilization in the related industries due to their plastic properties, and size reduction is carried out in a wet medium. Clay minerals also contain impurities such as nonplastic materials in their structure. Mechanical dispersion parameters are important in the separation of clay group minerals (halloysite and kaolinite) from their typical non-clayey gangue minerals (quartz and goethite). In this study, the removal of impurities from halloysite ore obtained from Kızıldam, Turkey, was examined in terms of mechanical dispersion parameters, namely, feed size, blunging time and speed, pulp concentration, pulp temperature, and the aging process. The effect of these parameters on halloysite dispersion was determined by particle size, chemical, and mineralogical analysis, and optical and scanning electron microscope images. The results obtained from the studies of the mechanical dispersing and particle size distribution of the products indicated that the optimum dispersion parameters were determined as −10 mm feed size, 8 h, and 1000 rpm blunging time, and speed, 35% pulp concentration at 25 °C pulp temperature. Under these optimum conditions, a 72.3% amount of −38 μm clay product containing 35.6% of halloysite, 46.5% of kaolinite, 12.0% quartz, 1.9% goethite, 0.9% gibbsite, and 3.2% other minerals were obtained from the halloysite ore, having 30.5% of halloysite, 43.4% of kaolinite, 19.1% quartz, 2.9% goethite, 1.4% gibbsite, and 2.7% other minerals. In this study, it was understood that feed size, pulp concentration, blunging time, and speed were important parameters, while pulp temperature and the aging process had no significant effect on the mechanical dispersion of Kızıldam halloysite. In addition, impurities such as quartz and iron-bearing minerals were separated from the ore by blunging and sieving.

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26

Shen, Xiang Wei, Xin Zhu Sang, Chong Xiu Yu, Jin Hui Yuan, and Cang Jin. "Analysis the Structure Parameters of the SOI Rib Waveguide." Advanced Materials Research 194-196 (February 2011): 674–78. http://dx.doi.org/10.4028/www.scientific.net/amr.194-196.674.

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With the different sizes of the structure parameters of the SOI(Silicon on Insulator) rib waveguide, the dispersion and the nonlinearity parameters are investiaged using the beam propagation method. It is found that for the same structure parameters, the dispersion and the nonlinearity parameter γ are different between the TE and TM modes. With the changing of the structure parameters the anomalous dispersion and the nonlinearity parameter γ can be up to 972 ps/km/nm and 1.065×106w-1.km-1in the wavelength region near 1550nm.The high anomalous dispersion and the nonlinearity parameter γ means it’s a good candidate to realize parametric amplification and wavelength conversion.

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27

Stehlík, Michal. "INFLUENCE OF THE AGE OF EPOXY DISPERSION ON THE EFFECTIVENESS OF PROTECTION OF CONCRETE SURFACES." Engineering Structures and Technologies 4, no. 2 (June 26, 2012): 37–44. http://dx.doi.org/10.3846/2029882x.2012.697538.

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The scope of this paper is to test stability and mechanical and chemical properties of a modern freshly mixed epoxy dispersion, and as a variant, of a dispersion which is two years old. During ageing, the dispersion particles probably agglomerate, which is tested by laser diffraction and by sedimentation in a cylinder. Physical-mechanical tests assess the appearance, drying speed and mechanical properties of the film. Chemical tests focus on assessing the resistance of films of dispersions of different ages to common chemicals and to chemical defrosting agents. It is possible to say that two years of dispersion storage lead to a considerable increase in the diameter of a certain number of dispersion particles with the subsequent effect of increasing the sedimentation speed. The hardened film of a two-year old dispersion dries faster, has a rougher surface, is softer, but on the other hand, is less elastic and its adhesive capacity to the substrate is worse. Its chemical resistance is decreased but its defrosting agent resistance remains good. Due to the two-year storage of the epoxy dispersion, most of the monitored parameters decrease, nevertheless, certain protection of concrete structures by a hardened film of such epoxy dispersions is possible.

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28

Vaykshnorayte, M. A., V. A. Vityazev, N. A. Vahnina, V. D. Shadrina, M. A. Torlopov, I. Y. Chukicheva, and A. V. Kuchin. "Influence of dibornol-HES on electrophysiological parameters in the period of restoration of blood flow in rabbit myocardium." Bulletin of Siberian Medicine 17, no. 4 (December 24, 2018): 6–15. http://dx.doi.org/10.20538/1682-0363-2018-4-6-15.

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Objective. Dibornol-HES, a water-soluble drug based on the derivative of 2,6-diisobornyl-4-methylphenol Dibornol conjugated with hydroxyethyl starch, can reduce the occurrence and severity of arrhythmias by preventive intravenous administration, but it is unknown whether the drug could reduce the myocardial arrhythmogenicity once ischemia has developed at the developed ischemia.Materials and methods. In the model of acute ischemia / reperfusion of the rabbit heart, the effect of Dibornol-HEC (80 mg/kg body weight of the animal) on the electrophysiological indices characterizing myocardial arrhythmogenicity (global and border dispersion of repolarization) was studied during the restoration of blood flow. In the model of acute ischemia / reperfusion with 64 unipolar epicardial leads, the activation-recovery intervals were measured and global and border dispersion of repolarization in the native rabbits (control group, n = 9) and in the rabbits treated by Dibornol-HES (on the 25th minute of occlusion, the experimental group, n = 6).Results. The introduction of Dibornol-HES did not lead to a change in the electrocardiographic parameters of rabbits. By the 30th minute of the coronary occlusion on the ECG in the animals of the control and the experimental groups, the intervals RR, QT, QTc were shortened (p < 0.05). In the animals of both groups by the 30th minute of coronary occlusion, the global dispersion of repolarization increased (p < 0.05), the boundary dispersion of repolarization also increased (p < 0.05), due to the decrease in the duration of the activation-recovery intervals in the ischemic zone (p < 0.05). During the 30-minute reperfusion the magnitude of the global dispersion of repolarization did not change in animals of the both groups, and the magnitude of the border dispersion of repolarization in the control rabbits decreased (p < 0.05), while in the rabbits treated by Dibornol-HES the border dispersion of repolarization did not changed.Conclusion. In rabbits of the experimental group, the values of the global and border dispersions of repolarization did not differ from those of the animals in the control group. Therefore, the administration to Dibornol-HES just prior to reperfusion does not lead to the decrease in the dispersion of repolarization increased as a result of acute ischemic myocardial damage.

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29

Y. Xing, H. Guo, J. Feddes, Z. Yu, S. Shewchuck, and B. Predicala. "Sensitivities of Four Air Dispersion Models to Climatic Parameters for Swine Odor Dispersion." Transactions of the ASABE 50, no. 3 (2007): 1007–17. http://dx.doi.org/10.13031/2013.23141.

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30

Lee, Dong-Hee, and Byoung-Cheol Jung. "The Effects of Dispersion Parameters and Test for Equality of Dispersion Parameters in Zero-Truncated Bivariate Generalized Poisson Models." Korean Journal of Applied Statistics 23, no. 3 (June 30, 2010): 585–94. http://dx.doi.org/10.5351/kjas.2010.23.3.585.

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31

Jiang, Tianhui, Lorenza Maddalena, Julio Gomez, Federico Carosio, and Alberto Fina. "Polyelectrolytes Enabled Reduced Graphite Oxide Water Dispersions: Effects of the Structure, Molecular Weight, and Charge Density." Polymers 14, no. 19 (October 4, 2022): 4165. http://dx.doi.org/10.3390/polym14194165.

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The polyelectrolyte (PE)-based water dispersion of graphene-related materials (GRMs) represents an interesting intermediate for the development of advanced materials by sustainable processes. Although the proof of concept has been demonstrated, there is a lack of knowledge for what concerns the effects of parameters typical of PEs such as functionalization, molecular weight, and charge density. In this work, we evaluate the effects of such parameters on the quality and long-term stability of reduced graphite oxide (rGO) dispersion in aqueous media prepared by ultrasound sonication in the presence of different PEs. Four PEs were evaluated: polyacrylic acid (PAA), branched poly(ethylenimine) (BPEI), sodium carboxymethyl cellulose (CMC), and poly(sodium 4-styrenesulfonic acid) (PSS). The prepared dispersions were thoroughly characterized by means of UV-visible spectroscopy, thermogravimetric analysis, dynamic light scattering, and Raman spectroscopy. The highest concentrations of rGO were achieved by BPEI with a molecular weight of 25,000 and 270,000 Da (33 and 26 µg/mL, respectively). For other PEs, the rGO concentration was found to be independent of the molecular weight. The PAA-based dispersions displayed the best through-time stability while yielding homogeneous dispersion with a smaller average size and narrower size distribution.

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32

Qin, Xilin, Zhixian Gui, Fei Yang, Yuanyuan Liu, Wei Jin, and Jian Xiong. "Prediction of sweet spots in tight sandstone reservoirs based on anisotropic frequency-dependent AVO inversion." Journal of Geophysics and Engineering 18, no. 5 (September 14, 2021): 664–80. http://dx.doi.org/10.1093/jge/gxab044.

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Abstract The frequency-dependent amplitude-versus-offset (FAVO) method has become a practical method for fluid detection in sand reservoirs. At present, most FAVO inversions are based on the assumption that reservoirs are isotropy, but the application effect is not satisfactory for fractured reservoirs. Hence, we analyse the frequency variation characteristics of anisotropy parameters in tight sandstone reservoirs based on a new petrophysical model, and propose a stepwise anisotropic FAVO inversion method to extract frequency-dependent attributes from prestack seismic field data. First, we combine the improved Brie's law with the fine-fracture model to analyse frequency-dependent characteristics of velocities and Thomsen anisotropy parameters at different gas saturations and fracture densities. Then, we derive an anisotropic FAVO inversion algorithm based on Rüger's approximation formula and propose a stepwise anisotropic FAVO inversion method to obtain the dispersions of anisotropy parameters. Finally, we propose a method that combines the inversion spectral decomposition with the stepwise anisotropy FAVO inversion and apply it to tight sand reservoirs in the Xinchang area. We use P-wave velocity dispersion and anisotropy parameter ε dispersion to optimise favourable areas. Numerical analysis results show that velocity dispersion of the P-wave is sensitive to fracture density, which can be used for fracture prediction in fractured reservoirs. In contrast, anisotropic parameter dispersion is sensitive to gas saturation and can be used for fluid detection. The seismic data inversion results show that velocity dispersion of the P-wave and anisotropic parameter dispersion are sensitive to fractured reservoirs in the second member of Xujiahe Group, which is consistent with logging interpretation results.

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33

Kerschgens, Michael J., Christian Nölle, and Reinhard Martens. "Comments on turbulence parameters for the calculation of dispersion in the atmospheric boundary layer." Meteorologische Zeitschrift 9, no. 3 (August 29, 2000): 155–63. http://dx.doi.org/10.1127/metz/9/2000/155.

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34

Yu, Lei. "Calibration of Platoon Dispersion Parameters on the Basis of Link Travel Time Statistics." Transportation Research Record: Journal of the Transportation Research Board 1727, no. 1 (January 2000): 89–94. http://dx.doi.org/10.3141/1727-11.

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A calibration technique for platoon dispersion parameters for the widely used TRANSYT platoon dispersion model is presented. This technique calibrates platoon dispersion factor, travel time factor, and smoothing factor directly from the average link travel time and its standard deviation and can capture practically all of the roadway and traffic conditions in the field such as road grades, curvature, parking, opposing flow interference, traffic volume, and other sources of impedance. The technique is especially suited for applications in advanced traffic management system networks in which the required link travel time data could be obtained on a real-time basis. TRANSYT’s implementation of two scenarios is examined. The first scenario inputs the calibrated platoon dispersion parameter, with the result being that the smoothing factor used by TRANSYT is different from the calibrated parameter. The second scenario inputs a revised platoon dispersion factor, which is designed to make the smoothing factor used by TRANSYT identical to the calibrated parameter. This examination induces a recommendation that the TRANSYT input card or its internal calculation procedure for platoon dispersion be revised so that the average link travel time in the geometric distributed platoon dispersion model is consistent with those from the same model. The calibration of platoon dispersion parameters with field-collected link travel time data shows that platoon dispersion parameters are different for different standard deviations of link travel times even on the same street, and, therefore, the platoon dispersion parameters must be calibrated on a site-specific basis.

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35

Buligon, Lidiane, Gervásio A. Degrazia, Charles R. P. Szinvelski, and Antonio G. Goulart. "Algebraic Formulation for the Dispersion Parameters in an Unstable Planetary Boundary Layer: Application in the Air Pollution Gaussian Model." Open Atmospheric Science Journal 2, no. 1 (August 12, 2008): 153–59. http://dx.doi.org/10.2174/1874282300802010153.

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An alternative formulation for the dispersion parameters in a convective boundary layer is presented. The development consists of a simple algebraic relation for the dispersion parameters, originated from the fitting of experimental data, in which the turbulent velocity variances and the Lagrangian decorrelation time scales are derived from the turbulent kinetic energy convective spectra. Assuming homogeneous turbulence for elevated regions in an unstable planetary boundary layer (PBL), the present approach, which provides the dispersion parameters, has been compared to the observational data as well as to results obtained by classical complex integral formulations. From this comparison yields that the vertical and lateral dispersion parameters obtained from the simple algebraic formulas reproduce, in an adequate manner, the spread of contaminants released by elevated continuous source in an unstable PBL. Therefore, the agreement with dispersion parameters available by an integral formulation indicates that the hypothesis of using an algebraic formulation as a surrogate for dispersion parameters in the turbulent convective boundary layer is valid. In addition, the algebraic vertical and lateral dispersion parameters were introduced into an air pollution Gaussian diffusion model and validated with the concentration data of Copenhagen experiments. The results of such Gaussian model, incorporating the algebraic dispersion parameters, are shown to agree with the measurements of Copenhagen.

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Wen, Jin, Wang Liu, Keyang Liu, Haiwei Fu, and Zhenan Jia. "Research and analysis on the broadband dispersion tailoring of the sub-micro silicon-on-insulator waveguides." Modern Physics Letters B 31, no. 06 (February 28, 2017): 1750056. http://dx.doi.org/10.1142/s0217984917500567.

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High-order dispersions of the silicon-on-insulator (SOI) waveguides with different shapes (including slab, ridge and slot) have been obtained and compared using the finite element method (FEM). Through adjusting the geometrical parameters of the waveguides, single or dual zero-dispersion wavelengths (ZDWs) can be tuned in the broadband wavelength range. Differences of dispersion curves among these waveguides are analyzed from the viewpoint of structure and mechanism in detail. It is remarkably shown the number of ZDWs can be varied from 0 to 2 and the position of the ZDWs can be tuned from 1400 nm to 1900 nm flexibly. Moreover, the differences of dispersion features in short and long wavelength regions are also discussed deeply. Due to the dispersion of SOI waveguides playing a dominated role in many nonlinear optical effects, this research can make some contribution for dispersion tailoring and nonlinear optics.

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Faidah, Adel. "Estimation of the Dispersion and Absorption Parameters of." Journal of King Abdulaziz University-Science 21, no. 2 (2009): 185–96. http://dx.doi.org/10.4197/sci.21-2.1.

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Zhao, Zhihong, Lanru Jing, and Ivars Neretnieks. "Evaluation of hydrodynamic dispersion parameters in fractured rocks." Journal of Rock Mechanics and Geotechnical Engineering 2, no. 3 (September 2010): 243–54. http://dx.doi.org/10.3724/sp.j.1235.2010.00243.

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Li, R. I., A. A. Kolesnikov, and M. R. Kiba. "Parameters of ultrasonic dispersion of polymer-composite solutions." Polymer Science, Series D 10, no. 2 (April 2017): 185–88. http://dx.doi.org/10.1134/s1995421217020137.

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Canevari, Gerard P., Peter Calcavecchio, K. W. Becker, R. R. Lessard, and Robert J. Fiocco. "Key Parameters Affecting the Dispersion of Viscous Oil." International Oil Spill Conference Proceedings 2001, no. 1 (March 1, 2001): 479–83. http://dx.doi.org/10.7901/2169-3358-2001-1-479.

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ABSTRACT Oil viscosity has been perceived as a major factor affecting the dispersibility of oil. Very high viscosity oils—20,000 centistokes (cs) or more—can readily be observed as resisting the breakup of the oil into dispersed droplets. However, there are instances where a relatively viscous oil will disperse much more readily than another oil of similar viscosity. An extensive study has been conducted at ExxonMobil Research facilities in New Jersey to define the molecular makeup of 14 viscous heavy fuel oil products and determine the property of the viscous oils, besides viscosity, that influences dispersibility. Dispersibility was measured by a standard laboratory dispersant test using a COREXIT dispersant selected from the U.S. Environmental Protection Agency (EPA) National Contingency Plan (NCP) Product Schedule. Initially, IATROSCAN (TLC) and gas chromatography data failed to show any correlation between chemical properties, such as sulfur, aromatics, paraffins, resins, vanadium, nickel content, etc., and dispersibility. However, the analysis did identify a statistically significant relationship between a parameter based on normal paraffin content and dispersibility, which helps explain anomalies such as low viscosity oils that do not disperse. These results are expected to aid in guiding oil spill response for viscous oils.

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41

Perevalova, E. G., and N. I. Makarenko. "Stratification parameters and dispersion of internal solitary waves." Journal of Physics: Conference Series 722 (June 2016): 012031. http://dx.doi.org/10.1088/1742-6596/722/1/012031.

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Dorota, Dabrowska. "Descriptive Parameters of Location, Dispersion and Stochastic Dependence." Statistics 16, no. 1 (January 1985): 63–88. http://dx.doi.org/10.1080/02331888508801826.

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Flowers, K. "Modal dispersion effects on coherent signal processing parameters." IEEE Transactions on Acoustics, Speech, and Signal Processing 33, no. 5 (October 1985): 1092–94. http://dx.doi.org/10.1109/tassp.1985.1164701.

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Cuadrado-Laborde, Christian, Pablo A. Costanzo-Caso, Ricardo Duchowicz, and Enrique E. Sicre. "Temporal Talbot effect applied to determine dispersion parameters." Optics Communications 260, no. 2 (April 2006): 528–34. http://dx.doi.org/10.1016/j.optcom.2005.10.073.

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Araya, R., M. Maldonado, C. O. Gomez, and J. A. Finch. "Measuring gas dispersion parameters: Selection of sampling points." Minerals Engineering 65 (October 2014): 172–77. http://dx.doi.org/10.1016/j.mineng.2014.05.001.

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Calogine, D., H. Boyer, S. Ndoumbe, C. Rivière, and F. Miranville. "Identification of Parameters in Building Concentration Dispersion Model." Indoor and Built Environment 19, no. 2 (March 22, 2010): 250–66. http://dx.doi.org/10.1177/1420326x09349900.

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Zou, S., and A. Parr. "Estimation of Dispersion Parameters for Two-Dimensional Plumes." Ground Water 31, no. 3 (May 1993): 389–92. http://dx.doi.org/10.1111/j.1745-6584.1993.tb01840.x.

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Besterci, Michal, Ivan Kohútek, and Oksana Velgosová. "Microstructural parameters of dispersion strengthened Cu–Al2O3 materials." Journal of Materials Science 43, no. 3 (November 9, 2007): 900–905. http://dx.doi.org/10.1007/s10853-007-2227-0.

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Gryning, S. E., A. A. M. Holtslag, J. S. Irwin, and B. Sivertsen. "Applied dispersion modelling based on meteorological scaling parameters." Atmospheric Environment (1967) 21, no. 1 (January 1987): 79–89. http://dx.doi.org/10.1016/0004-6981(87)90273-3.

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Kelly, W. E., O. Mazac, and S. Mares. "Dispersion parameters from the impulse response using regression." Journal of Hydrology 163, no. 1-2 (December 1994): 85–94. http://dx.doi.org/10.1016/0022-1694(94)90023-x.

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