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作 者:赵怀涛 常浩 王鹏 Zhao Huaitao;Chang Hao;Wang Peng(The First Geological Brigade of Hebei Provincial Bureau of Geology and Mineral Exploration and Development,Handan Hebei 056001,China)
机构地区:[1]河北省地质矿产勘查开发局第一地质大队,河北邯郸056001
出 处:《煤化工》2023年第5期125-128,共4页Coal Chemical Industry
摘 要:针对传统煤矿矿山生态环境监测评估方法存在的不足,选用主成分分析法,从矿山复杂生态环境的各项影响因素中获取多个基点样本参数,提取关键特征数据进行成分分析,确定具有代表性的各项环境分析指标,分析主要成分与各项指标之间的偏向相关关系、独立性系数等要素,划分脆弱性评估标准阈值,最后将各项指标参数代入评估概念模型依次进行脆弱性评估。通过数据研究分析,本文所提方法的环境脆弱性评估准确率高达95%,弥补了环境监测评估技术的不足。In response to the shortcomings of traditional methods for monitoring and evaluating the ecological environment of coal mines,the principal component analysis method was used to obtain multiple base point sample parameters from various influencing factors of the complex ecological environment of the mine,extract the key characteristic data for the component analysis,determine representative environmental analysis indicators,analyze the bias correlation relationship and independence coefficient between the main components and various indicators,specify the threshold of vulnerability assessment standards,and finally input the index parameters into the assessment conceptual model for vulnerability assessment in turn.Through data research and analysis,the accuracy of environmental vulnerability assessment of the proposed method was as high as 95%,which showed the inadequacy of environmental monitoring and assessment technology.
分 类 号:X826[环境科学与工程—环境工程]
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