Библиографическое описание:Analysis of meteorological data of the reanalysis model NCEP GFS for the atmosphere of Krasnoyarsk city : доклад, тезисы доклада / O. S. Volodko, N. A. Buryak, A. V. Dergunov. - [S. l. : s. n.], 2023. - Текст : непосредственный // Ensuring sustainable development: agriculture, ecology, energy and Earth science (IOP Conference Series: Earth and Environmental) : Science II International scientific and practical conference / Ensuring sustainable development: agriculture, ecology, energy and Earth science (2022 ; 21.12 - 23.12 ; Dushanbe, Tajikistan). - Bristol, BS2 OGR, United Kingdom, 2023. - 1229. - P. 12040. - DOI 10.1088/1755-1315/1229/1/012040.
Аннотация:Air pollution is an important problem for cities. Krasnoyarsk city is one of the dirtiest cities in the Russian Federation. Meteorological conditions have a significant impact on air pollution. In the present study, for constructing a regression model of forecasting periods of high levels of air pollution, the dimension of meteorological data of the global atmospheric model National Centers for Environmental Prediction Global Forecast System (NCEP GFS) was reduced. The meteorological data were collected between June 2019 and March 2022. To reduce the dimension of meteorological data were used correlation analysis and principal component analysis (PCA). These methods also resolved the problem of collinearity between independent variables. The same meteorological parameters of different vertical layers were reduced from 157 to 58 using correlation analysis. The principal component analysis made it possible to reduce the data dimension to 18 principal components that contain 90% of the total variance. The first 5 principal components contain 71% of the total variance. The principal components will be used to construct the principal components regression.
Источник:Ensuring sustainable development: agriculture, ecology, energy and Earth science (IOP Conference Series: Earth and Environmental)
Выпуск:1229
Мероприятие:Ensuring sustainable development: agriculture, ecology, energy and Earth science (Dushanbe, Tajikistan, 2022 ; 21.12 - 23.12)
Номера страниц:12040
Держатель оригинала документа:Federal Research Center Krasnoyarsk Science Center of Siberian Branch of the Russian Academy of Sciences, Institute of Computational Modeling of Siberian Branch of the Russian Academy of Sciences
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