On the Use of Non-Gaussian Models for Prediction of Extreme Pollution Levels in Environmental Studies / Berg D. B.,Medvedev A. N.,Sergeev A. P.,Taubayev A. A. // . - 2015. - V. 1690, l. .

ISSN/EISSN:

0094-243X / нет данных

Type:

Proceedings Paper

Abstract:

The aim of this work is to study the distribution of contamination at the territory on the data of snow samples analysis, in order to find an approach to forecasting of the extreme pollution levels. The hypothesis of normal distribution of the values of pollution index (the intensity of dust fallout on the territory, mg/m(2)/day) is not confirmed on the results of statistical analysis of the data for six different experimental sites (from 81 to 256 values of the index for each site). For the set of 243 values of the pollution index at the territory of a city, there is made an attempt of forecast of its possible extreme values not detected on the results of the snow sampling. For this, the linear dependence ``pollution index - the number of points with the given pollution index{''} built in double logarithmic coordinates, is extrapolated into the area of high values of the pollution index.

Author keywords:

нет данных

DOI:

10.1063/1.4936682

Web of Science ID:

ISI:000366565600004

Соавторы в МНС:

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Другие поля

Поле	Значение
Editor	Pasheva, V and Popivanov, N and Venkov, G
Booktitle	41ST INTERNATIONAL CONFERENCE APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS (AMEE'15)
Series	AIP Conference Proceedings
Note	41st International Conference on Applications of Mathematics in Engineering and Economics (AMEE), Sozopol, BULGARIA, JUN 08-13, 2015
Organization	Tech Univ Sofia, Fac Appl Math \& Informat; TU, Res \& Dev Sect; Sofia Univ St Kliment Ohridski, Res \& Dev Sect
Publisher	AMER INST PHYSICS
Address	2 HUNTINGTON QUADRANGLE, STE 1NO1, MELVILLE, NY 11747-4501 USA
Language	English
Article-Number	020004
ISBN	978-0-7354-1337-5
Research-Areas	Business \& Economics; Mathematics; Physics
Web-of-Science-Categories	Economics; Mathematics, Applied; Physics, Applied
ResearcherID-Numbers	Medvedev, Alexander/J-2493-2017
ORCID-Numbers	Medvedev, Alexander/0000-0002-5160-2816 Taubayev, Ayapbergen/0000-0001-5970-1977
Number-of-Cited-References	8
Usage-Count-Last-180-days	1
Usage-Count-Since-2013	4
Doc-Delivery-Number	BE0PS