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Surrogate approach to determine heavy metal loads in a moss species – Barbula lambaranensis

机译:代用方法确定苔藓物种中的重金属含量– Barbula lambaranensis

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Biomonitoring using a moss species Barbula lambaranensis is an economical method for continuous assessment of atmospheric metal pollution. However, frequent measurement of common heavy metals such as Zn, Cd, Cr, Pb, Cu and Ni in moss can be costly for monitoring large areas. Thus, the aim of the study was to use the surrogate approach to reduce the number of heavy metals required for monitoring. The study found that the Zn load in moss was higher; Pb, Cu and Ni loads were moderate; while Cd and Cr were relatively lower across the study sites. Further, the following surrogates were identified based on PCA: Cu for Cr; Pb for Cd, Cu and Ni; and Cu and Pb for Zn. Quantitative relationships between surrogate loads and the loads of other heavy metals were developed by performing Multiple Linear Regression on a data set constructed using a four level full factorial design. The equations had a relative prediction error and standard error of cross validation below 25% and 1.5%, respectively, indicating that the equations are accurate. However, the cross validated coefficient of determination is relatively low suggesting that the precision of prediction using the equations is low, possibly due to the influence of factors such as climatic conditions on bioaccumulation of heavy metals by moss. Nevertheless, the developed equations can be useful for preliminary investigations.
机译:利用苔藓物种Barbula lambaranensis进行生物监测是一种连续评估大气金属污染的经济方法。但是,经常测量苔藓中常见的重金属(例如Zn,Cd,Cr,Pb,Cu和Ni)对于监视大面积区域而言可能是昂贵的。因此,研究的目的是使用替代方法来减少监测所需的重金属数量。研究发现,苔藓中的锌负荷较高;铅,铜和镍的负荷适中;研究地点的镉和铬含量相对较低。此外,基于PCA鉴定了以下替代物:Cu代表Cr; Cu代表Cr。铅为镉,铜和镍;铜和铅表示锌。替代载荷与其他重金属载荷之间的定量关系是通过对使用四级全因子设计构建的数据集执行多元线性回归而建立的。该方程式的相对预测误差和交叉验证的标准误差分别低于25%和1.5%,表明该方程式是准确的。但是,交叉验证的确定系数相对较低,这表明使用这些方程式进行预测的精度较低,这可能是由于气候条件等因素对苔藓对重金属生物富集的影响。尽管如此,开发的方程对于初步研究还是有用的。

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