Comparative multifractal analysis of methane gas concentration time series in India and regions within India
Comparative multifractal analysis of methane gas concentration time series in India and regions within India
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DOI：
10.1007/s43538-022-00076-3
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发表时间：
2022-05
影响因子：
0.9
通讯作者：
Gopa Bhoumik;R. Parker;H. Boesch
中科院分区：
文献类型：
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作者：
Gopa Bhoumik;R. Parker;H. Boesch
在本研究中，GOSAT CH 4被用于分析2010年至2017年8年间印度的甲烷气体浓度。数据进行了分析，使用多重分形去趋势波动分析技术。在印度的两个不同的地理区域已被选中，这些地区的CH4数据进行了分析。印度和这两个地区的广义赫斯特指数分别为1.27、0.74和0.91，明显高于其混洗数据，即分别为0.50、0.51和0.51。这一发现揭示了甲烷气体浓度随时间的变化表现出多重分形性质，这反过来又建立了数据中存在的长程时间相关性。印度和这两个地区的多重分形谱宽度分别为0.76、1.38和1.01。这一结果表明，相关性的强度是不同的两个地区选择，我们认为这可能是由于不同的甲烷排放过程的考虑区域。结果与混洗数据的比较表明，相关性纯粹是由于甲烷生产动态，而不仅仅是统计的结果。
In the present study GOSAT CH4has been used to analyze the methane gas concentration in India over the eight years from 2010 to 2017. The data have been analyzed using the multifractal detrended fluctuation analysis technique. Two different geographical regions within India have been selected and CH4data for those regions are also analyzed. The generalized Hurst exponents for India and the two regions are 1.27, 0.74 and 0.91, which are significantly high from their shuffled data counterparts i.e. 0.50, 0.51 and 0.51 respectively. This finding reveals that methane gas concentration over time show multifractal nature which in turn establishes the presence of long-range temporal correlations in the data. The width of the Multifractal spectrum for India and the two regions are found to be 0.76, 1.38 and 1.01 respectively. This result shows that strength of correlation is different for the two regions selected, which we suggest may be due to the different methane emission process of the considered regions. Comparison of the results with that of shuffled data signify that the correlation is purely due to the methane production dynamics and not a result of mere statistics.