Dynamical Characteristics in Time Series Between PM10 and Wind Speed
2021 ◽
Vol 15
◽
pp. 26-30
Keyword(s):
We study the temporal variation characteristics of PM10 and wind velocity in eight South Korean cities. We employ the detrended cross-correlation analysis (DCCA) method to extract the overall tendency of the hourly variation. We ascertain from three-daily and one-weekly intervals that Busan has the negative largest, while Donghae has the positive largest in the DCCA cross-correlation coefficient between PM10 and wind velocity. As a result of Asian dust events, the cross-correlation is statistically significant for the hourly time series data less than two days. Particularly, we discuss whether a cross-correlation is statistically significant or not from random number surrogation and shuffled time series surrogation
2021 ◽
Keyword(s):
2021 ◽
Keyword(s):
2017 ◽
Vol 1
(2)
◽
pp. 177-191
Keyword(s):
2016 ◽
Vol 136
(3)
◽
pp. 363-372
2015 ◽
Vol 135
(6)
◽
pp. 651-659
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Keyword(s):
Keyword(s):