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基于主成分分析的输变电工程水土流失区域生态质量动态监测 被引量:2

Dynamic Monitoring of Regional Ecological Quality of Soil Erosion in Power Transmission and Transformation Projects Based on Principal Component Analysis
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摘要 对于输变电工程水土流失区域生态质量的监测,传统的监测方法内容过多过泛滥,导致其方法在实际工作中应用性比较差。为此,提出基于主成分分析的输变电工程水土流失区域生态质量动态监测。针对点状输变电工程和线状输变电工程,分别布设不同的监测点位,获取水土流失区域的各项特征,从这些特征中筛选出合适的监测指标,计算每个指标的分数,作为监测数据,对这些数据进行主成分分析,获得主成分因子,利用主成分因子计算出生态质量综合指数,即为监测结果。实验结果表明,设计的基于主成分分析的输变电工程水土流失区域生态质量动态监测方法监测频次高、参数关联性弱,对监测结果影响较小,该方法的应用性能得到了提高。 For the monitoring of regional ecological quality of soil erosion in power transmission and transformation projects,the content of traditional monitoring methods is too much and too much,which leads to the poor application of their methods in practical work.For this reason,the dynamic monitoring of regional ecological quality of soil erosion in power transmission and transformation projects based on principal component analysis is proposed.Aiming for dot and line power transmission and transformation project,setting different monitoring points,respectively to obtain the characteristics of regional soil and water loss,appropriate monitoring indexes from these characteristics,calculate each index score,as the monitoring data,the data of principal component analysis,principal component factor,using the principal component factor to calculate the ecological quality of composite index,is the monitoring results.The experimental results show that the dynamic monitoring method of regional ecological quality for soil erosion in power transmission and transformation project based on principal component analysis has high monitoring frequency,weak parameter correlation and little influence on the monitoring results,and its application performance is improved.
作者 覃文虎 QIN Wen-hu(Hefeng County Water and Soil Conservation Station,Hefeng 445800,Hubei,China)
出处 《水利科技与经济》 2021年第5期60-65,共6页 Water Conservancy Science and Technology and Economy
关键词 主成分分析 输变电工程 水土流失 生态质量 动态监测 rincipal component analysis power transmission and transformation project soil erosion ecological quality dynamic monitoring
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