Open AccessDynamical Characteristics in Time Series Between PM10 and Wind Speed
Author(s) -
Deok Du Kang,
Dong In Lee,
Jaewon Jung,
Kyungsk Kim
Publication year - 2021
Publication title -
international journal of mathematical models and methods in applied sciences
Language(s) - English
Resource type - Journals
ISSN - 1998-0140
DOI - 10.46300/9101.2021.15.5
Subject(s) - wind speed , series (stratigraphy) , statistics , time series , detrended fluctuation analysis , meteorology , correlation coefficient , correlation , mathematics , variation (astronomy) , environmental science , atmospheric sciences , climatology , geography , geology , physics , geometry , paleontology , scaling , astrophysics
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