Rainwater organic complexation

Nimmo, M. and Fones, G. (1997) The potential pool of Co, Ni, Cu, Pb and Cd organic complexing ligands in coastal and urban rainwaters. Atmos. Environ., 31, 693-702. 

At this point it should be remarked that multivariate regression with latent variables is a useful tool for describing the relationship between complex processes and/or features in the environment. A specific example is the prediction of the relationship between the hydrocarbon profile in samples of airborne particulate matter and other variables, e.g. extractable organic material, carbon preference index of the n-alkane homologous series, and particularly mutagenicity. The predictive power was between 68% and 81% [ARMANINO et al., 1993]. VONG [1993] describes a similar example in which the method of PLS regression was used to compare rainwater data with different emission source profiles. 

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