斯瓦尔巴群岛冰川周缘的多分形分析

IF 2.6 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Physics Complexity Pub Date : 2024-06-16 DOI:10.1088/2632-072x/ad5263
Marina Carpineti, Valerio Lupo Sepe, Antonella Senese, Giacomo Traversa, Guglielmina A Diolaiuti and Alberto Vailati
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引用次数: 0

摘要

对冰川演变的研究在很大程度上依赖于对其质量、面积和周长等广义量的描述。在这项研究中,我们利用分形和多分形分析方法研究了斯瓦尔巴群岛冰川周缘的非广义结构特性。我们的研究表明,冰川周缘呈现出分形结构,其分形维度与冰川面积无关。对冰川周缘多分形特性的研究表明,小冰川表现出更明显的多分形结构,这一点可以从表征小冰川所需的更大范围的广义维数 Dq 中得到证明。表征冰川多分形周长所需的广义尺寸范围ΔDq与面积呈指数为-1.2的幂律关系,是一个非广义参数,能够有效地反映冰川周长的多分形结构与冰川大小的关系。与之前对意大利阿尔卑斯山伦巴第地区冰川进行的一项研究中获得的类似结果进行比较,证实了所做分析的稳健性,分析结果似乎不受基底形态或气候条件的影响。
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Multifractal analysis of the perimeters of glaciers in the Svalbard Archipelago
The investigation of the evolution of glaciers largely relies on the characterisation of extensive quantities like their mass, area, and perimeter. In this work we use fractal and multifractal analysis to investigate the non-extensive structural properties of the perimeters of glaciers in the Svalbard Archipelago. We show that the perimeters of the glaciers exhibit a fractal structure with a fractal dimension , independently from the area of the glaciers. The investigation of the multifractal properties of the perimeters shows that small glaciers exhibit a more pronounced multifractal structure, as witnessed by the larger range of generalized dimensions Dq needed to characterise them. The range ΔDq of generalised dimensions required to characterise the multifractal perimeter of a glacier exhibits a power-law dependence with exponent −1.2 from the area, and represents a non-extensive parameter able to grab effectively the dependence of the multifractal structure of the perimeters on the size of glaciers. The comparison with similar results obtained in a previous study performed on glaciers in the Lombardy region of the Italian Alps confirms the robustness of the analysis performed, which does not appear to be affected by the morphology of the substrate or by climate conditions.
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来源期刊
Journal of Physics Complexity
Journal of Physics Complexity Computer Science-Information Systems
CiteScore
4.30
自引率
11.10%
发文量
45
审稿时长
14 weeks
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