河流网络的可控性和异质性使用光谱图理论方法
Shiblu Sarker1, Arvind Singh2, Alexander Veremyev3
1Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, Florida, 32816, USA.
Scientific reports
|April 16, 2025
概括
这项研究使用图形理论来分析河流网络光谱,揭示了零固有值量化了网络可控性. 更异质的河流盆地需要更多的驱动节点来控制,突出显示可控性和网络漏洞之间的联系.
科学领域:
- 地质科学 地质科学
- 网络科学 网络科学
- 水文学的水文学
背景情况:
- 河流网络是拓学研究的关键景观特征,但光谱属性仍未得到充分探索.
- 现有的河流网络研究主要集中在拓特征上,忽视了光谱分析.
研究的目的:
- 用图形理论方法研究河流网络连接矩阵的固有值光谱.
- 了解零固有值及其在河流网络中的多重性的物理和动态影响.
- 建立光谱属性,网络可控性和异质性之间的联系.
主要方法:
- 使用图形理论制定河流网络拓.
- 分析合成和天然河流网络的连接 (邻) 矩阵的固有值光谱.
- 使用托库纳加的c值量化网络异质性.
主要成果:
- 解释了使用指向和非指向网络的代数和几何多重性的零固有值的范围.
- 证明零固有值的倍数决定了最小的驱动节点集,量化了网络可控性.
- 显示异质性增加 (较高的托库纳加c值) 与更多的零固有值相关,这表明对潮湿盆地的控制要求更高.
- 确定驱动器节点倾向于根据对联连接避免关键节点.
结论:
- 零固有值的多重性是理解河流网络动态,可控性和异质性的有价值指标.
- 来自光谱属性的网络可控性,对于理解系统对外部力量的反应至关重要.
- 调查结果显示,可控性指标和河流网络脆弱性之间存在直接关系,这对生态和水文管理有影响.
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