摘要
矿区生态环境破坏程度评价是当前研究的热点,矿区生态环境破坏程度评价结果与多种因素密要相关,当前方法无法准确描述影响因素的变化经特点,使得评价偏差比较大,为了提高矿区生态环境破坏程度评价效果,提出基于灰色关联分析的矿区生态环境破坏程度评价方法。首先分析当前矿区生态环境破坏程度评价的研究进展,建立矿区生态环境破坏程度评价指标,然后根据指标收集相关数据,并引入灰色关联分析法对矿区生态环境破坏程度评价指标进行处理,确定每一个指标的权值,并引入支持向量机对矿区生态环境破坏程度评价进行建模,最后对具体的矿区生态环境破坏程度进行评价实例分析,结果表明,本方法能够有效进行矿区生态环境破坏程度评价,具有一定的实际应用价值。
the evaluation of eco-environmental damage degree in mining area is a hot spot of current research.The evaluation results of eco-environmental damage degree in mining area are closely related to many factors.The current method can not accurately describe the change characteristics of influencing factors,which makes the evaluation deviation relatively large.In order to improve the evaluation effect of eco-environmental damage degree in mining area,the evaluation method of eco-environmental damage degree in mining area based on grey correlation analysis is proposed.Evaluation method of bad degree.The current research progress of the evaluation of ecological environment damage degree in mining area,establishes the evaluation index of ecological environment damage degree in mining area,then is frist analized collects relevant data according to the index,and introduces the gray correlation analysis method to process the evaluation index of ecological environment damage degree is collcted in mining area,and the weight of each index is determined,and introduces the support vector machine is introducted to evaluate the ecological environment damage degree is established in mining area.Finally,the evaluation example of the ecological environment damage degree is analyzed in the mining area,and the results show that this method can effectively evaluate the damage degree of ecological environment in mining areas,and has certain practical application value.
作者
王慧
李娜
WANG Hui;LI Na(Xi’an Innovation College of Yan’an University,Xi'an 710100,China)
出处
《自动化与仪器仪表》
2021年第9期30-33,共4页
Automation & Instrumentation
基金
延安大学西安创新学院校级项目(No.2018XJKY-5)。
关键词
矿区生态
环境破坏
灰色关联分析
评价模型
Mining Area Ecology
Environmental Damage
Grey Relational Analysis
evaluation model
