Journal ArticleDOI
Derivations of continuous functions for the lateral and vertical atmospheric dispersion coefficients.
E.C. Eimutis,M.G. Konicek +1 more
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Multistage regression techniques were used to derive atmospheric class-continuous functions and distance continuous functions for the lateral and vertical atmospheric dispersion coefficients and these equations were highly significant at the 95 per cent confidence level.About:
This article is published in Atmospheric Environment.The article was published on 1972-11-01. It has received 29 citations till now. The article focuses on the topics: Standard deviation & Regression analysis.read more
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Comparison of four analytical dispersion models for near-surface releases above a grass surface
TL;DR: The results of a new model called "Pasquill-businger" model and three Gaussian plume models with different diffusion parameters stemming from, (a) the U.S. Nuclear Regulatory Guide 1.145 (1982), (b) the Western German Regulatory Guide TA-Luff (1983), (c) Klug (1969, Staub-Reinhaltung der Luft 29, 143-147), are compared with 23 experiments of the Prairie-Grass Project (Barad, 1958, Geophys. Res. atmos.
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Estimating maximum horizontal area of pheromone plumes.
TL;DR: Graphs and simple Gaussian plume equations are presented for estimating the maximum horizontal area within a pheromone plume and estimates of AI and β are given for several atmospheric stability typing schemes applicable to field and forest habitats.
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The derivation of plume dispersion parameters from measured three-dimensional data
TL;DR: The method of finite differences is used to determine the plume axis and the S.D. of plume spread from three-dimensional data acquired by aerial probing as mentioned in this paper, and the derivation of reliable values for critical plume dispersion parameters, that are applicable to a given geographic region, significantly improves the precision of computations for specifying stack heights, selecting plant sites, and predicting ground level pollutant concentrations.
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Uncertainty modelling of atmospheric dispersion model using fuzzy set and imprecise probability
TL;DR: New methodology of uncertainty quantification is demonstrated by a case study, in which the concentration of contaminant air during the leakage of ammonia through some industrial facility is selected as the target model and new formalism of computing uncertainty is given a name as imprecise-probability fuzzy uncertainty modelling.
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Uncertainty modelling of atmospheric dispersion by stochastic response surface method under aleatory and epistemic uncertainties
TL;DR: Based on the polynomial chaos expansion, stochastic response surface method has been utilized in this paper for the uncertainty propagation of atmospheric dispersion model under consideration of both probabilistic and possibility information.
References
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Journal ArticleDOI
Applied Regression Analysis.
TL;DR: Applied Regression Analysis, Third Edition as discussed by the authors provides a complete introduction to the fundamentals of regression analysis with a focus on fitting and checking of both linear and nonlinear regression models, using small and large data sets.
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A Diffusion Model for an Urban Area
TL;DR: In this article, a working model for the diffusion of gases from multiple sources in an urban area was presented, where a diffusion equation modified to use area instead of point sources was used with a source inventory of sulfur dioxide emissions to calculate 24hr concentrations at 1 mile intervals.
Journal Article
Use of routine meteorological observations for estimating atmospheric dispersion
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Prediction of environmental exposures from sources near the ground, based on Hanford experimental data
TL;DR: In this paper, the crosswind variances of the exposure distributions are expressed in terms of the travel time and the product of the standard deviation of the wind direction distribution and the mean wind speed, σθū, in an equation resulting from G. I. Taylor's work in 1921.