50 citations · 313 across the 12 of their papers we have counts for
12 papers
Multifractal characterisation of particulate matter (PM10) time series in the Caribbean basin using visibility graphs
T. Plocoste, R. Carmona-Cabezas, F. J. Jimenez-Hornero +2
A good knowledge of pollutant time series behavior is fundamental to elaborate strategies and construct tools to protect human health. In Caribbean area, air quality is frequently…
Wet scavenging process of particulate matter (PM10): A multivariate complex network approach
T. Plocoste, R. Carmona-Cabezas, E. Gutierrez de Rave +1
This paper reports the results of research on PM10 wet scavenging by rainfall using a new multilayer complex networks called Multiplex Visibility Graphs (MVG). To the best of our k…
Background PM10 atmosphere: In the seek of a multifractal characterization using complex networks
T. Plocoste, R. Carmona-Cabezas, F. J. Jimenez-Hornero +1
In the literature, several epidemiological studies have already associated respiratory and cardiovascular diseases to acute exposure of mineral dust. However, frail people are also…
Multiplex Visibility Graphs as a complementary tool for describing the relation between ground level O3 and NO2
R. Carmona-Cabezas, J. Gomez-Gomez, A. B. Ariza-Villaverde +2
The usage of multilayer complex networks for the analysis of correlations among environmental variables (such as O3 and NO2 concentrations from the photochemical smog) is investiga…
Improving graph-based detection of singular events for photochemical smog agents
R. Carmona-Cabezas, J. Gomez-Gomez, E. Gutierrez de Rave +3
Recently, a set of graph-based tools have been introduced for the identification of singular events of O3, NO2 and temperature time series, as well as description of their dynamics…
Checking complex networks indicators in search of singular episodes of the photochemical smog
R. Carmona-Cabezas, J. Gomez-Gomez, E. Gutierrez de Rave +1
A set of indicators derived from the analysis of complex networks have been introduced to identify singularities on a time series. To that end, the Visibility Graphs (VG) from thre…
Joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the Guadalquivir river valley
A. B. Ariza-Villaverde, P. Pavon-Dominguez, R. Carmona-Cabezas +2
Previous works have analysed the relationship existing between reference evapotranspiration (ET0) and other climatic variables under a one-at-a-time perturbation condition. However…
A sliding window-based algorithm for faster transformation of time series into complex networks
R. Carmona-Cabezas, J. Gomez-Gomez, E. Gutierrez de Rave +1
A new alternative method to approximate the Visibility Graph (VG) of a time series has been introduced here. It exploits the fact that most of the nodes in the resulting network ar…
Multifractal fluctuations of the precipitation in Spain (1960-2019)
J. Gomez-Gomez, R. Carmona-Cabezas, E. Sanchez-Lopez +2
In this work, an analysis of multifractal parameters of daily precipitation series over the Iberian Peninsula was performed in two 30-year periods to explore whether these properti…
Can complex networks describe the urban and rural tropospheric O3 dynamics?
R. Carmona-Cabezas, J. Gomez-Gomez, A. B. Ariza-Villaverde +2
Tropospheric ozone (O3) time series have been converted into complex networks through the recent so-called Visibility Graph (VG), using the data from air quality stations located i…
Visibility graphs of ground-level ozone time series: A multifractal analysis
R. Carmona-Cabezas, A. B. Ariza-Villaverde, E. Gutierrez de Rave +1
A recent method based on the concurrence of complex networks and multifractal analyses is applied for the first time to explore ground-level ozone behavior. Ozone time series are c…
Multifractal detrended fluctuation analysis of temeprature in Spain (1960-2019)
J. Gomez-Gomez, R. Carmona-Cabezas, A. B. Ariza-Villaverde +2
In the last decades, an ever-growing number of studies are focusing on the extreme weather conditions related to the climate change. Some of them are based on multifractal approach…