Gaussian Dispersion Model Calculator - программа предназначена для расчета концентрации вредных веществ на различных расстояний от источника выбросов по модели рассеивания Гаусса.
В данном сервисе реализован алгоритм выбора оптимальной методики статистического анализа, который позволит исследователю на основании информации о количестве сравниваемых совокупностей, типе распределения, шкале измерения переменных, отпределить наиболее подходящий статистический метод, статистический критерий. Калькулятор позволит найти значение любой относительной величины по заданным параметрам: числителю, знаменателю, десятичному коэффициенту. Учитывается вид относительной величины для правильного обозначения вводимых данных и формирования грамотного ответа. Для каждого результата также выводится средняя ошибка m. Оценка значимости различий средних величин по t-критерию Стьюдента. Данный статистический метод служит для сравнения двух средних величин M , рассчитанных для несвязанных между собой вариационных рядов.
IEA501 Air Quality Modeling Intro:
Atmospheric dispersion modeling is the mathematical simulation of how air pollutants disperse in the ambient atmosphere. It is performed with computer programs that include algorithms to solve the mathematical equations that govern the pollutant dispersion. The dispersion models are used to estimate the downwind ambient concentration of air pollutants or toxins emitted from sources such as industrial plants, vehicular traffic or accidental chemical releases. They can also be used to predict future concentrations under specific scenarios i. Therefore, they are the dominant type of model used in air quality policy making. They are most useful for pollutants that are dispersed over large distances and that may react in the atmosphere. For pollutants that have a very high spatio-temporal variability i. Dispersion models are important to governmental agencies tasked with protecting and managing the ambient air quality.
Lecture 31 - Gaussian Model - Useful Formulation:
In a previous post , I discussed k-means clustering as a way of summarising text data. I also talked about some of the limitations of k-means and in what situations it may not be the most appropriate solution. Probably the biggest limitation is that each cluster has the same diagonal covariance matrix. This produces spherical clusters that are quite inflexible in terms of the types of distributions they can model. In this post, I wanted to address some of those limitations and talk about one method in particular that can avoid these issues, Gaussian Mixture Modelling GMM.
Gaussian Dispersion Model - Numerical (Part 1):
However, inclusion here does not confer any unique status relative to other alternative models that are being or will be developed in the future. Atmospheric Dispersion Modeling System ADMS-3 is an advanced dispersion model for calculating concentrations of pollutants emitted both continuously from point, line, volume and area sources, or discretely from point sources. The model includes algorithms which take account of the following: effects of main site buiding; complex terrrain; wet deposition, gravitational settling and dry deposition; short term fluctuations in concentration; chemical reactions; radioactive decay and gamma-dose; plume rise as a function of distance; jets and directional releases; averaging time ranging from very short to annual; condensed plume visibility; meteorological preprocessor. The modeling system is available at no cost in selected circumstances. Potential users should contact Dr. David Carruthers at "David.
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