绿色理念下生态植物景观污染程度评估模型研究

Evaluation Model of Ecological Plant Landscape Pollution Degree under Green Concept

针对现有方法在进行生态植物景观污染程度评估时数据采集能力受到限制,导致造成评估数据缺失的问题,文章提出一种绿色理念下的生态植物景观污染程度评估模型。使用粗糙集理论,优化污染物评估指标筛选过程,并对采集到的生态植物景观数据进行分类,为测评过程提供数据来源与基础;应用模糊分析法构建污染程度评估模型,完成生态植物景观污染程度评估。通过与现有方法进行实验对比,能够证明文章设计的新型模型可弥补当前模型的不足,提高污染程度评估精度,为日后的污染治理提供可信度较高的评估结果。

The existing methods for collecting data for ecological plant landscape pollution degree evaluation,resulting in the lack of evaluation data.This paper proposes an ecological plant landscape pollution degree evaluation model under the green concept.Rough set theory is used to optimize the screening process of pollutant assessment indicators,and the collected ecological plant landscape data are classified to provide data source and basis for the assessment process.The pollution degree evaluation model is constructed by using fuzzy analysis method to complete the pollution degree evaluation of ecological plant landscape.Through the experimental comparison with the existing methods,it can be proved that the new model designed in this paper can make up for the shortcomings of the current model,improve the accuracy of pollution degree evaluation,and provide reliable evaluation results for future pollution control.