Assessment of water quality of polluted lake using multivariate statistical techniques: a case study.
Ecotoxicol Environ Saf
; 72(2): 301-9, 2009 Feb.
Article
en En
| MEDLINE
| ID: mdl-18423587
Multivariate statistical techniques, cluster analysis (CA) and principal component analysis (PCA) were applied to the data on water quality of Manchar Lake (Pakistan), generated during 2005-06, with monitoring at five different sites for 36 parameters. This study evaluated and interpreted complex water quality data sets and apportioned of pollution sources to get better information about water quality and to design a monitoring network. The chemical correlations were observed by PCA, which were used to classify the samples by CA, based on the PCA scores. Three significant sampling locations--(sites 1 and 2), (site 4) and (sites 3 and 5)--were detected on the basis of similarity of their water quality. The results revealed that the major causes of water quality deterioration were related to inflow of effluent from industrial, domestic, agricultural and saline seeps into the lake at site 1 and also resulting from people living in boats and fishing at sites 2 and 3.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Contaminantes del Agua
/
Abastecimiento de Agua
/
Monitoreo del Ambiente
/
Medición de Riesgo
/
Agua Dulce
Tipo de estudio:
Etiology_studies
/
Risk_factors_studies
País/Región como asunto:
Asia
Idioma:
En
Revista:
Ecotoxicol Environ Saf
Año:
2009
Tipo del documento:
Article
País de afiliación:
Pakistán
Pais de publicación:
Países Bajos