Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Chenhua Shen"'
Autor:
Chenhua Shen, Rui Wu
Publikováno v:
Heliyon, Vol 9, Iss 6, Pp e16694- (2023)
Nonlinear contributions from climate change and anthropogenic activity to the Normalized Difference Vegetation Index (NDVI) are analyzed to better understand the mechanisms underlying the nonlinear response of vegetation growth. In this study, it was
Externí odkaz:
https://doaj.org/article/006cc644722545c5b742eb34e7148c08
Publikováno v:
Entropy, Vol 24, Iss 6, p 817 (2022)
Exploring the spatial distribution of the multi-fractal scaling behaviours in atmospheric CO2 concentration time series is useful for understanding the dynamic mechanisms of carbon emission and absorption. In this work, we utilise a well-established
Externí odkaz:
https://doaj.org/article/4e382e4a47df4011b150f83d4c1bd277
Autor:
Chenhua, Shen, Yani, Yan
Publikováno v:
In Journal of Atmospheric and Solar-Terrestrial Physics February 2017 154:10-20
Autor:
Chenhua Shen
Publikováno v:
Fluctuation and Noise Letters.
In this study, the cross-correlation coefficient [Formula: see text] is improved to quantify the cross-correlation level between fluctuant amplitude ranges in two non-stationary time series on various temporal scales. The proposed method is based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::581e74f574ee87dc3a4e603516bcc243
https://doi.org/10.1142/s0219477523500359
https://doi.org/10.1142/s0219477523500359
Autor:
Chenhua Shen, Riran Ma
Publikováno v:
Remote Sensing Applications: Society and Environment. 30:100958
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6940f9ae84be543aafe7b8fbdc293b47
https://doi.org/10.1016/j.rsase.2023.100958
https://doi.org/10.1016/j.rsase.2023.100958
An analysis for features of geospatially rescaled range analysis method and spatial scaling behavior
Autor:
Chenhua Shen
Publikováno v:
Nonlinear Dynamics. 89:243-254
We apply the rescaled range analysis (R/S) method to analyze the geospatial scaling behavior and its relevant features, including spatial heterogeneity, a spatially short-range correlation, spatial scale effects and spatial nonstationarity. Our goal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fef1ff105153962bb1a3277c79b92b15
https://doi.org/10.1007/s11071-017-3450-0
https://doi.org/10.1007/s11071-017-3450-0
Autor:
Chenhua Shen
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 467:453-464
We applied traditional principal component analysis (TPCA) and nonstationary principal component analysis (NSPCA) to determine principal components in the six daily air-pollutant concentration series (SO 2 , NO 2 , CO, O 3 , PM 2.5 and PM 10 ) in Nan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70f34edda23a0b3d7398dc085c0709ee
https://doi.org/10.1016/j.physa.2016.09.014
https://doi.org/10.1016/j.physa.2016.09.014
Publikováno v:
Physics Letters A. 380:106-116
In order to measure the spatio-temporal autocorrelation's degree for spatio-temporal nonstationary series, the new temporally detrended global and local spatio-temporal Moran's indexes (TDGSTI and TDLSTI) are proposed. The implementation of the new M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50d0a8dacd19a3bdbf2aa0f93424eae7
https://doi.org/10.1016/j.physleta.2015.09.039
https://doi.org/10.1016/j.physleta.2015.09.039
Autor:
Chenhua Shen
Publikováno v:
Physics Letters A. 379:2962-2969
To analyze the unique contribution of meteorological factors to the air pollution index (API), a new method, the detrended semipartial cross-correlation analysis (DSPCCA), is proposed. Based on both a detrended cross-correlation analysis and a DFA-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61162f3dcaddc0f66b9d94313438dcd6
https://doi.org/10.1016/j.physleta.2015.08.025
https://doi.org/10.1016/j.physleta.2015.08.025
Autor:
Chenhua Shen
Publikováno v:
Physics Letters A. 379:680-687
A time-lagged DCCA cross-correlation coefficient is proposed with objective of quantifying the level of time-lagged cross-correlation between two nonstationary time series at time scales. This coefficient, ρ ( n , τ , R , R ′ ) , is defined based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71a5b4140008e34b55491ad968a1eab1
https://doi.org/10.1016/j.physleta.2014.12.036
https://doi.org/10.1016/j.physleta.2014.12.036