Document Detail


Environmetric approaches to estimate pollution impacts on a coastal area by sediment and river water studies.
MedLine Citation:
PMID:  12420964     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper represents an effort to demonstrate the opportunities of some environmetric methods like regression analysis, cluster analysis and principal components analysis. Their role for data modeling is stressed and the basic theoretical principles are given. The application of the multivariate statistical methods is illustrated by two major examples: Assessment of metal pollution based on multivariate statistical modeling of "hot spot" sediments from the Black Sea; and a trend study of Kamchia River water quality. In the first part of the study the environmetric approach makes it possible to separate three zones of the marine environment with different levels of pollution (Bourgas gulf, Varna gulf and lake buffer zone). Further, the extraction of four latent factors offers a specific interpretation of the possible pollution sources and separates the natural factors from the anthropogenic ones, the latter originating from contamination by chemical and steel-works and an oil refinery. In the second part of the study nine sampling sites along Kamchia River were considered as sources for water quality monitoring data. Trends for all parameters are calculated by the use of linear regression analysis and special attention is paid to a specific coastal site. Then five latent factors were extracted from the monitoring data set in order to gain information about some structural characteristics of the set.
Authors:
G Mihailov; V Simeonov; N Nikolov; G Mirinchev
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Water science and technology : a journal of the International Association on Water Pollution Research     Volume:  46     ISSN:  0273-1223     ISO Abbreviation:  Water Sci. Technol.     Publication Date:  2002  
Date Detail:
Created Date:  2002-11-07     Completed Date:  2003-02-21     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9879497     Medline TA:  Water Sci Technol     Country:  England    
Other Details:
Languages:  eng     Pagination:  45-52     Citation Subset:  IM    
Affiliation:
Department of Water Supply, Sewerage, Water & Wastewater Treatment, Faculty of Hydrotechnics, University of Architecture, Civil Engineering & Geodesy, Sofia, Bulgaria.
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MeSH Terms
Descriptor/Qualifier:
Cluster Analysis
Environmental Monitoring / methods*
Geologic Sediments / chemistry*
Models, Theoretical*
Regression Analysis
Water Pollutants / analysis*
Water Supply
Chemical
Reg. No./Substance:
0/Water Pollutants

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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