Chemometric analysis; cluster analysis; discriminant analysis; Jakara River; Nigeria; principal component analysis; surface water quality; varimax rotation
Indexed keywords
AGRICULTURAL WATER;
CHEMOMETRIC ANALYSIS;
ELECTRICAL CONDUCTIVITY;
MULTIVARIATE STATISTICAL TECHNIQUES;
MULTIVARIATE TECHNIQUES;
NIGERIA;
POLLUTION SOURCES;
PRINCIPAL COMPONENTS;
RIVER WATER QUALITY;
SAMPLING POINTS;
SPATIAL ASPECT;
SPATIAL VARIATIONS;
TOTAL SOLIDS;
TOTAL VARIANCE;
WATER QUALITY DATA;
WATER QUALITY PARAMETERS;
Chemometrics data analysis of marine water quality and source identification in Southern Hong Kong
DOI 10.1016/j.marpolbul.2007.01.006, PII S0025326X07000306
Zhou F.; Guo H.; Liu Y.; Jiang Y.; Jiang Y. Chemometrics data analysis of marine water quality and source identification in Southern Hong Kong. Mar. Pollut. Bull. 2007 54 745-756. (Pubitemid 46843110)
Spatial assessment of Langat river water quality using chemometrics
Juahir H.; Zain S.M.; Aris A.Z.; Yusoff M.K.;Mokhtar,M. Spatial assessment of Langat river water quality using chemometrics. J. Environ. Monit. 2010 12 287-295.
Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India) - A case study
DOI 10.1016/j.watres.2004.06.011, PII S0043135404003367
Singh,K.P.; Malik A.; Mohan,D.; Sinha S.Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)-a case study. Water Res. 2004 18 3980-3992. (Pubitemid 39243059)
Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan
DOI 10.1016/j.envsoft.2006.02.001, PII S136481520600048X
Shrestha S.; Kazama F. Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin Japan. Environ. Model. Soft. 2007 22 464-475. (Pubitemid 44647960)
Application of chemometrics in river water classification
DOI 10.1016/j.watres.2005.11.042, PII S0043135405006883
Kowalkowski T.; Zbytniewski R.; Szpejna J.; Buszewski B. Application of chemometrics in river water classification. Water Res. 2006 40 744-752. (Pubitemid 43233966)
Standard Methods for the Examination ofWater andWastewater
Clesceri L.S.; Greenberg A.E.; Eaton A.D. Standard Methods for the Examination ofWater andWastewater. American Public Health Association (APHA). Washington DC. 1998 92-98.
Quantitative identification and source apportionment of anthropogenic heavy metals in marine sediment of Hong Kong
DOI 10.1007/s00254-007-0644-7
Zhou F.; Guo H.; Liu L. Quantitative identification and source apportionment of anthropogenic heavy metals in marine sediments of Hong Kong. Environ. Geol. 2007 53 295-305. (Pubitemid 47283361)
Anthropogenic sources and environmentally relevant concentrations of heavy metals in surface water of a mining district in Ghana: A multivariate statistical approach
Armah F.D.; Obiri S.;Yawson,D.O.;Onumah E.E.;Yengoh,G.T.; Afrifa E.K.A.; Odoi J.O. Anthropogenic sources and environmentally relevant concentrations of heavy metals in surface water of a mining district in Ghana: a multivariate statistical approach. J. Environ. Sci. Health Pt. A 2010 45 1804-1813.
Using chemometric tools to assess anthropogenic effects in river water: A case study: Guadalquivir River (Spain)
DOI 10.1016/j.aca.2004.01.058, PII S0003267004001801
Mendiguch́a C.; Moreno C.; Galindo-Riano M.D.; Garća-Vargas. M. Using chemometric tools to assess anthropogenic effects in river water: A case study: Guadalquivir River (Spain). Anal. Chim. Acta 2004 515 143-149. (Pubitemid 38798215)