为评估湖泊生态系统的健康发展方向，基于薛定谔关于熵变与生命体关系的理论，引入信息熵的概念，建立评估湖泊生态系统健康发展的量化模型。采用基于指标所处状态的方法，划分指标为消极指标和积极指标，对指标性质和熵流方向进行辨识，权衡健康与发展两方面赋予权重计算。以2012年白洋淀各水域的监测资料为基础进行了实例应用，从计算结果可以看出，白洋淀生态系统整体处于亚健康状态，且若无重大治理措施近几年都会处于此状态，其中“水文水资源”、“生物”准则层情况最为严重。通过分析两准则层的关联指标发现，影响白洋淀健康的主要原因是由于白洋淀的生态水位长期得不到满足，从而引发生物、水质下降，且后续实地考察得以证实。%To evaluate the development of the lake systems, based on Schrodinger's theory about the relationship between entropy change and life, this paper introduced the concept of information entropy and established a quantitative model which could evaluate health development of the Lake ecosystem. The analysis method adopted is based on the state of the indicators. At the meantime, the indicators were sorted into positive indicators and negative indicators, both the indicator property and entropy flow direction were being identified. And then to determine the indicators’ weight, balanced the health and development. The entropy calculation results based on the monitoring data in 2012 of each water areas of Baiyangdian Lake indicated that the entire eco-system of Baiyangdian Lake was in the sub-health situation, without significant treatment measures, the condition would be last for years. To be specific, the degradation trend of hydrology and water resources as well as the "bio" criterion layer was much more serious. Based on the analysis of the stability of the indexes, and through the analysis of related indexes of the two criterion layers, it was easily to get the conclusion that the main factor influenced the health of Baiyangdian Lake. And its ecological water level could not be satisfied for such a long time, which leaded to a series of biology and water quality declined. The subsequent field visit also confirmed this.
展开▼
