| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6360014 | Marine Pollution Bulletin | 2012 | 11 Pages |
Abstract
⺠This is the first chemometric analysis of WQ data of Kinta River (Malaysia). ⺠The study represents application of chemometric data mining techniques to WQ assessment. ⺠Kinta River WQ is controlled mainly by weathering, soil erosion, and surface runoff. ⺠HACA classified the eight monitoring locations into low and high pollution areas. ⺠Chemometric techniques are suitable tools for water quality assessment.
Keywords
HCAHit ratioHierarchical agglomerative cluster analysisPCCsMin.PFADFAASLDOEPCAKMOHacACluster analysisLand useabove sea levelMaximumDiscriminant FunctionPrincipal factor analysisDiscriminant function analysisFactor analysisPrincipal component analysisSouthweststandard error of the meanhierarchical clustering, Hierarchical cluster analysisNortheastcoefficient of determinationSEMEHRMinimumChemometricsWater QualityRiver water qualitySurface water quality
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Oceanography
Authors
Nabeel M. Gazzaz, Mohd Kamil Yusoff, Mohammad Firuz Ramli, Ahmad Zaharin Aris, Hafizan Juahir,