2008
DOI: 10.1016/j.jenvman.2007.01.023
|View full text |Cite
|
Sign up to set email alerts
|

Nonlinear time series analysis of ground-level ozone dynamics in Southern Taiwan

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
17
0

Year Published

2013
2013
2020
2020

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 45 publications
(21 citation statements)
references
References 48 publications
0
17
0
Order By: Relevance
“…When the value of H ranges between 0 and 0.5, it indicates that the time series shows anti-persistent behavior (a negative correlation), which means the future trend of the time series will be the opposite of the past. Additionally, the degree of anti-persistence depends on the extent of H's closeness to 0 [43,[46][47][48]. In our case, if the past decoupling degree has a reductive (or increase) trend, the disparity of the future will assume the increase (or reductive) trend.…”
Section: Hurst Exponentmentioning
confidence: 99%
“…When the value of H ranges between 0 and 0.5, it indicates that the time series shows anti-persistent behavior (a negative correlation), which means the future trend of the time series will be the opposite of the past. Additionally, the degree of anti-persistence depends on the extent of H's closeness to 0 [43,[46][47][48]. In our case, if the past decoupling degree has a reductive (or increase) trend, the disparity of the future will assume the increase (or reductive) trend.…”
Section: Hurst Exponentmentioning
confidence: 99%
“…DFA has advantages over other methods of persistence analysis such as spectral analysis and rescale-range analysis as it can avoid spurious detection of correlations due to non-stationarity (Shi and Liu, 2009) and can be applied even in the presence of trends in the time series (Varotsos et al, 2005;Shi and Liu, 2009). The long memory property using DFA has been inferred in air pollutant concentrations in several studies (Varotsos et al, 2005;Lu and Wang, 2006;Varotsos and Kirk-Davidoff, 2006;Varotsos et al, 2007;Weng et al, 2008;Lau et al, 2009;Yuval and Broday, 2010;Chelani, 2012).…”
Section: Introductionmentioning
confidence: 98%
“…When the value of H ranges between 0 and 0.5, it indicates the time seriesshows anti-persistent behavior (a negative correlation) which means the future trendof time series will be opposite from the past. And the degree of anti-persistent depends on the extent for H's closeness to 0 (Parmar and Bhardwaj, 2013, Weng et al , 2008, Xu, Lu, 2004. In our case, if thepast decoupling degree hasareductive(or increase) trend, the decoupling degree of the future will assumethe increase (or reductive) trend.…”
Section: R/s Analysis Of Decoupling Trendmentioning
confidence: 77%