A Procedure for Correlation of Chemical and Sensory Data in Drinking Water Samples by Principal Component Factor Analysis

1997 ◽  
Vol 31 (2) ◽  
pp. 337-345 ◽  
Author(s):  
An-Kuo Meng ◽  
Irwin H. Suffet
Keyword(s):  
Factor Analysis ◽  
Drinking Water ◽  
Water Samples ◽  
Principal Component ◽  
Principal Component Factor Analysis ◽  
Sensory Data ◽  
Component Factor ◽  
Drinking Water Samples

Risk estimation and multivariate statistical analysis of the heavy metal content of drinking water samples

2018 ◽  
Vol 34 (10) ◽  
pp. 714-725
Author(s):  
Rajan Jakhu ◽  
Rohit Mehra
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Drinking Water ◽  
Statistical Analysis ◽  
Water Samples ◽  
Multivariate Statistical Analysis ◽  
Inductively Coupled Plasma ◽  
Principal Component ◽  
Multivariate Statistical ◽  
Drinking Water Samples

Drinking water samples of Jaipur and Ajmer districts of Rajasthan, India, were collected and analyzed for the measurement of concentration of heavy metals. The purpose of this study was to determine the sources of the heavy metals in the drinking water. Inductively coupled plasma mass spectrometry was used for the determination of the heavy metal concentrations, and for the statistical analysis of the data, principal component analysis and cluster analysis were performed. It was observed from the results that with respect to WHO guidelines, the water samples of some locations exceeded the contamination levels for lead (Pb), selenium (Se), and mercury (Hg), and with reference to the EPA guidelines, the samples were determined unsuitable for drinking because of high concentrations of Pb and Hg. Using multivariate statistical analysis, we determined that copper, manganese, arsenic, Se, and Hg were of anthropogenic origin, while Pb, copper, and cadmium were of geogenic origin. The present study reports the dominance of the anthropogenic contributions over geogenics in the studied area. The sources of the anthropogenic contaminants need to be investigated in a future study.

Neuropsychological asymmetry in Alzheimer's disease: Verbal versus visuoconstructional deficits across stages of dementia

1997 ◽  
Vol 3 (5) ◽  
pp. 420-427 ◽  
Author(s):  
DANIEL STRITE ◽  
PAUL J. MASSMAN ◽  
NORMA COOKE ◽  
RACHELLE S. DOODY
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Factor Analysis ◽  
Principal Component ◽  
Neuropsychological Deficits ◽  
Principal Component Factor Analysis ◽  
Factor Scores ◽  
Lateral Asymmetry ◽  
Mild Dementia ◽  
Component Factor

The incidence of clinically apparent asymmetric profiles of neuropsychological deficits in Alzheimer's disease (AD) patients similar to those reported in the PET literature is currently unclear. This study investigated lateral neuropsychological asymmetry using principal component factor analysis in a sample of 153 patients diagnosed with probable AD. Using factor scores, patients were classified into groups exhibiting asymmetric or symmetric profiles of neuropsychological deficits. In the analysis of lateral asymmetry, 27.5% of patients were classified as asymmetric (10% verbally and 17% visuospatially). Consistent with reports of continued asymmetry beyond the mild dementia stage, asymmetry was exhibited in the mild, moderate, and severely demented groups. These findings of neuropsychological asymmetry across stages of dementia are consistent with the picture of significant neuropsychological heterogeneity in AD that has been emerging in the decade. (JINS, 1997, 3, 420–427.)

Ecological Orientation of Tourists: An Empirical Investigation

2007 ◽  
Vol 7 (3-4) ◽  
pp. 161-175 ◽  
Author(s):  
Natan Uriely ◽  
Arie Reichel ◽  
Amir Shani
Keyword(s):  
Factor Analysis ◽  
Empirical Investigation ◽  
Principal Component ◽  
Successful Implementation ◽  
Principal Component Factor Analysis ◽  
Ecological Requirements ◽  
Ecological Features ◽  
Component Factor ◽  
Ecological Values ◽  
Strong Orientation

This study presents a tourist ecological orientation (TEO) construct based on the responses of participants who were asked to state the importance of various ecological features of planned tourist sites. The higher the TEO score, the more sensitive the person's attitudes toward the ecological requirements and responsibilities of tourist sites. A principal component factor analysis reveals two alternative dimensions of the TEO concept: ‘destination oriented’ and ‘visitor oriented’. The higher score that was given to the latter dimension supports the argument that successful implementation of ecological values at tourist sites requires a strong orientation towards consumer needs in addition to an ideological commitment to the environment. In addition, differences in ecological orientation patterns and structure were analysed along age and nationality.

The Use of Principal Component Factor Analysis to Interpret Particulate Compositional Data Sets

1982 ◽  
Vol 32 (6) ◽  
pp. 637-642 ◽  
Author(s):  
Bradley A. Roscoe ◽  
Philip K. Hopke ◽  
Stuart L. Dattner ◽  
J. Maxine Jenks
Keyword(s):  
Factor Analysis ◽  
Compositional Data ◽  
Principal Component ◽  
Data Sets ◽  
Principal Component Factor Analysis ◽  
Component Factor

Functional substituents α to 13C: topological correlation by perturbation of a focus and principal component factor analysis

1982 ◽  
Vol 23 (41) ◽  
pp. 4241-4244 ◽  
Author(s):  
Jean-Pierre Doucet ◽  
Shen Gang Yuan ◽  
Patrick Billon ◽  
Jacques-Emile Dubois
Keyword(s):  
Factor Analysis ◽  
Principal Component ◽  
Principal Component Factor Analysis ◽  
Component Factor

scholarly journals Geogenic Contamination: Hydrogeochemical processes and relationships in Shallow Aquifers of Ibadan, South-West Nigeria

2015 ◽  
Vol 9 (1) ◽  
pp. 5-20 ◽  
Author(s):  
Amobichukwu Chukwudi Amanambu
Keyword(s):  
Factor Analysis ◽  
Drinking Water ◽  
Water Samples ◽  
Positive Relationship ◽  
Pearson Correlation ◽  
Hydrogeochemical Processes ◽  
Shallow Aquifer ◽  
Shallow Aquifers ◽  
Data Set ◽  
Drinking Water Samples

Abstract The result of the spatial analysis as applied to the hydrogeochemical data set in the shallow aquifer of Ibadan provides an insight into the underlying factors controlling hydrogeochemical processes in the area. A total of thirty drinking water samples (six samples each from the five major lithologic formations of the study area) were collected from shallow aquifers during the rainy and dry season. Atomic Absorption Spectrophotometry (AAS) and the Beckan DU-7500 single beam spectrophotometer were used to determine concentrations of arsenic, iron and fluoride in drinking water samples and the concentrations of other chemical parameters that could affect the concentrations of the geogenic contaminants including Ca, Mg, Na and SO42− were also analysed. pH and TDS were also determined. The Pearson Correlation and Factor Analysis were used to examine the relationship between the geogenic contaminants and concentration of other hydrogeochemical parameters while isopleth maps were drawn to ascertain lines of equal geogenic concentration (Isogeogenic lines). Factor analysis reduced the dataset into three major components representing the different sources of the contaminant. Major contributors to factor 1 and 3 (Salinization and Sulphate factors respectively) are natural phenomena while factor 2 is partly geogenic. The Isogeogenic lines show places of equal geogenic concentration and also with 3D Elevation modelling showed a high peak of Arsenic and Fluoride in the Sango area. The correlation test showed that there is a positive relationship between As and SO42− 0.889 (P < 0.05) and also a positive relationship between As and Mg 0.43 (P < 0.05). The significant relationship between As and SO42−, shows a partly geogenic source resulting from the reduction of sulphate to sulphide for the mobilization of As. The positive relationship between Fluoride and pH 0.242 (P > 0.05) implies that the concentration of F within the rock formation depends on high pH value.

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