Application of multivariate statistical techniques in the assessment of groundwater quality in seawater intrusion area in Bafra Plain, Turkey.
Summary of "Application of multivariate statistical techniques in the assessment of groundwater quality in seawater intrusion area in Bafra Plain, Turkey."
Multivariate statistical techniques such as cluster analysis and principal component analysis were performed on 28 groundwater wells in Bafra Plain. Cluster analysis results show that the groundwater in the study area is classified into three groups (A, B, and C), and factor analysis indicates that groundwater is composed of 89.64 % of total variance of 12 variables and is mainly affected by three factors. Factor 1 (seawater salinization) includes concentrations of electrical conductivity, TDS, Cl(-), Na(+), and sodium adsorption ratio, factor 2 (mixing water) includes δ(18)O, δD, and T, and factor 3 (fresh) includes Ca(2+). For determination of the source of water, Ca/Cl, Cl/HCO(3), Mg/Cl, and Ca/Na as initials and Mg/Ca and SO(4)/Cl as molar rates which were identified, the rates had been found to be very useful. Cluster analysis was made by using these rates and the waters were classified in two groups (group 1 and group 2). First group waters were affected by seawater, and the second group were very less affected by freshwater or seawater. According to the comparison of two different parameters, group 1 comprised group A and group B-2, -3, and -4 from the same wells, and group 2 comprised group B-1 and group C from the same well. As a result of this study, it could be said that multivariate statistical methods gave very useful results for the determination of the source.
Faculty of Agriculture, Agriculture Structure and Irrigation Department, Ondokuz Mayis University, 55139, Samsun, Turkey, firstname.lastname@example.org.
This article was published in the following journal.
Name: Environmental monitoring and assessment
- PubMed Source: http://www.ncbi.nlm.nih.gov/pubmed/22766921
- DOI: http://dx.doi.org/10.1007/s10661-012-2722-x
Medical and Biotech [MESH] Definitions
A set of techniques used when variation in several variables has to be studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables.
Data Interpretation, Statistical
Application of statistical procedures to analyze specific observed or assumed facts from a particular study.
The application of mathematical formulas and statistical techniques to the testing and quantifying of economic theories and the solution of economic problems.
Quality Assurance, Health Care
Activities and programs intended to assure or improve the quality of care in either a defined medical setting or a program. The concept includes the assessment or evaluation of the quality of care; identification of problems or shortcomings in the delivery of care; designing activities to overcome these deficiencies; and follow-up monitoring to ensure effectiveness of corrective steps.
Total Quality Management
The application of industrial management practice to systematically maintain and improve organization-wide performance. Effectiveness and success are determined and assessed by quantitative quality measures.
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