主成分分析法(PCA)在藻类生长影响分析中的应用

Application of Principal Component Analysis on Algae Growth Influences

水华的发生、发展是一个相当复杂的过程,众多影响因素共同导致藻类生长、水华爆发。常用的分析工具难以分析、预测实际情况下藻类的生长。该文利用当今世界上最大型的统计与图表分析软件之一STATISTICA对2008年和2009年奥运森林公园主湖的监测数据进行主成分分析。结果表明STATISTICA软件中的主成分分析适用于藻类生长分析,并发现除了已知的藻类生长影响因素(营养盐、温度等)之外,景观湖中底泥的累积效应也应纳入分析之内。

Breakout and expanding of algae bloom is complex.Many influence factors cause algae growth and algae bloom.Common analytical tool is difficulty to analyze and predict algae growth.In this paper,the monitoring data of lake in Olympic Park from 2008 to 2009 was measured by using STATISTICA software.It was found principal component analysis system of STATISTICA software can analyze algae growth.The results show cumulative effect must be considered except for the factors such as nutrient and temperature,which are known.