既有研究表明滑坡是多因素致因的复杂地质现象,加权复杂网络是研究复杂致因机理的重要工具,然而现有权值确定方法无法体现滑坡致因间作用特征,需要提出一种新的量化方法为连边赋权。基于Granger causality分析,提出了一种基于客观数据的权重量化方法,对滑坡致因间作用强度进行客观赋权。构建了不同客观量化模型,以考虑致因因子间的线性或非线性关系;并基于具有可扩展性的滑坡机理网络中降水、植被、地表径流等致因数据对方法的有效性进行了验证。结果表明:权重量化模型可以基于客观的致因时间序列,实现致因间的作用强度动态赋权,为加权复杂网络量化研究奠定坚实的基础。
Existing studies have shown that landslide is a complex geological phenomenon with multi-factor causation, and the weighted complex network is an important tool to study the complex causation mechanism, however, the existing weighting method cannot reflect the characteristics of the interactions between landslide causation, and it is necessary to propose a new quantitative method to assign weights to the connecting edges. Based on Granger causality analysis, this paper proposes a quantification method based on objective data weights to objectively assign weights to the strengths of interaction between landslide causal factors. Different objective quantification models were constructed to consider the linear or non-linear relationships among causal factors; and the effectiveness of the method was verified based on the causal data of precipitation, vegetation, surface runoff and other causal in the landslide mechanism network with scalability. The results show that the weighted quantification models can be based on objective causal time series and realise the dynamic assignment of the causal factors,which lays a solid foundation for quantitative research based on weighted complex networks.
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