PLS and PCR Methods in the Assessment of Coastal Water Quality |
| |
Authors: | Aguilera P. A. Garrido Frenich A. Castro H. Martinez Vidal J. L. |
| |
Affiliation: | (1) Department of Ecology, University of Almería, 04120 Almería, Spain;(2) Department of Analytical Chemistry, University of Almería, 04120 Almería, Spain |
| |
Abstract: | Partial least squares regression analysis (PLS) and principal component regression analysis (PCR) were examined asmethodological procedures for assessing the quality of coastalwaters in a tourist area. Four variables related to the trophicstate of waters, namely nitrate, nitrite, ammonia and phosphate were analyzed. The models resulting from PLS and PCR were verysimilar. Both defined three groups of water masses characterizedby different nutrient loadings. These groups were in accordancewith those obtained by numerical classification. The PLS methodwas selected as the optimal model, on the basis of its lowerprediction errors (lower Press and Rmsd values). For managementpurposes, this statistical model allows mesotrophic conditions,reflecting some nutrient enrichment over background conditions,to be characterized and the successful diagnosis of additionalsamples within this context. |
| |
Keywords: | coastal water quality nutrients PCR PLS trophicscale |
本文献已被 SpringerLink 等数据库收录! |
|