基于贝叶斯网络的生态环境脆弱性评估方法研究  

Research on Ecological Environment VulnerabilityAssessment Method Based on Bayesian Networks

作　　者：王心 徐方石 Wang Xin;Xu Fangshi(School of Medical Technology Xi an Medical University,Xi an 710021,China)

机构地区：[1]西安医学院医学技术学院,陕西西安710021

出　　处：《环境科学与管理》2024年第5期171-174,共4页Environmental Science and Management

基　　金：西安医学院2022年度科研能力提升计划项目(2022NLTS108)。

摘　　要：为提高生态环境脆弱性评估结果的准确性,提出基于贝叶斯网络的生态环境脆弱性评估方法。选择秦岭地区作为研究对象,采集该地区的生态环境数据,通过模糊估计提取生态环境扰动特征,并对生态环境脆弱性数据采样结果进行归一化处理,以提高评估结果的真实性。根据数据处理结果给出秦岭地区生态环境脆弱性评估体系,并通过贝叶斯网络节点模拟生态环境结构状态,描述状态转移过程,明确外界扰动攻击和环境可靠度间关系,实现对生态环境脆弱性的评估。经实验证明所提方法具备准确评估生态环境脆弱性的能力,置信度水平高。To improve the accuracy of ecological environment vulnerability assessment results,a Bayesian network-based ecological environment vulnerability assessment method is proposed.Selecting the Qinling Mountains region as the research object,the study collects ecological environment data from the region,extract ecological environment disturbance features through fuzzy estimation,and normalize the sampling results of ecological environment vulnerability data to improve the authenticity of the evaluation results.Based on the data processing results,a vulnerability assessment system for the ecological environment in the Qinling Mountains region is proposed,and the structural state of the ecological environment is simulated using Bayesian network nodes to describe the process of state transition.The research clarified the relationship between external disturbance attacks and environmental reliability,and achieve the assessment of ecological environment vulnerability.Experimental results have shown that the proposed method has the ability to accurately assess the vulnerability of the ecological environment,with a high level of confidence.

关 键 词：贝叶斯网络 生态环境 脆弱性评估 敏感性 生态结构 

分 类 号：X826[环境科学与工程—环境工程]