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Temporal scaling study of particulate matter (PM10) and solar radiation influences on air temperature in the Caribbean basin using a 3D joint multifractal analysis

机译:使用3D关节多分术分析的颗粒物质(PM10)和太阳辐射对加勒比盆地气温的太阳辐射影响

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摘要

In literature, many studies have highlighted the health impact of African dust. To our knowledge, few of them have analyzed the impact of mineral dust on the climate of the Caribbean basin in a multifractal way. In this study, the joint multifractal analysis was performed for three variables coexisting in the same geometric support in order to outline the influence of Particulate Matter (PM10) and Solar Radiation (SR) on air Temperature (TEMP) over a wider range of temporal scales and exponents order. To conduct this analysis, six years of daily time series recorded in Guadeloupe archipelago were used. A 3D joint multifractal analysis was conducted by considering both the strange attraction formalism and the method of moments. The scale dependence among the studied variables was highlighted and the capability of joint multifractal analysis to completely characterize the complex temporal geometry among these non linear natural phenomena was demonstrated. Saharan dust seasonality strongly influenced TEMP values across analyzed temporal scales. We found that multifractality degree is more significant for high dust season. In addition, the single multifractal spectrum always showed the monofractal pattern of TEMP while the fractal dimension differs according to dust seasonality and explanatory variable values, i.e. PM10 and SR. All these results have clearly highlighted the strong influence of PM10 concentration and SR intensity on TEMP value.
机译:在文学中,许多研究突出了非洲粉尘的健康影响。为了我们的知识,其中很少有分析矿物粉尘对加勒比盆地气候的影响,以多法的方式。在该研究中,在相同的几何支撑件中共存的三个变量进行关节多重分析,以便在更广泛的时间尺度上概述颗粒物质(PM10)和太阳辐射(SR)对空气温度(TEMP)的影响和指数令。进行这一分析,使用六年在瓜德罗普群岛记录的日常时间序列。通过考虑奇怪的吸引力形式主义和时刻方法来进行3D联合多法分析。突出了所研究变量之间的比例依赖性,并且对这些非线性天然现象中的具有联合多法分析的能力完全表征了这些非线性天然现象中的复杂时间几何形状。撒哈拉粉尘季节性强烈影响了分析的时间尺度的温度值。我们发现多分神度对于高尘埃来说更为显着。此外,单一多法谱始终显示TEMP的单术模式,而分形尺寸根据灰尘季节性和解释性变量值而不同,即PM10和SR。所有这些结果都显然强调了PM10浓度和SR强度对温度值的强烈影响。

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