Mathematical Multivariate Statistical Analysis and Big Data Information System Establishment on Urban Pollutant through Intelligent Computational Method
2021 ◽
Vol 2083
(4)
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pp. 042015
Keyword(s):
Abstract This paper mainly adopts the actor analysis and correspondence analysis in multivariate statistical analysis., for 6 indicators of the main pollutant contents emission in waste gas by 31 cities in China. The results of Factor Analysis showed that with cities in 6 indicators were controlled by two independent factors. The 2 factors, which were determined and named, were f 1, domestic waste gas pollutant emission factor, and f 2, factor of Industrial waste gas pollutant emission. The percentage of accumulated contribution of variances was 85.51%. The result s of correspondence analysis showed that, six indicators and cities which had significant or close relationships with 31 cities.
2016 ◽
Vol 8
(2)
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pp. 154-163
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Keyword(s):
2019 ◽
Vol 18
(2)
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pp. 217-230
2004 ◽
Vol 379
(7-8)
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