Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractThe Influence of Multiple Mechanical Recycling of Particleboards on Their Selected Mechanical and Physical Properties    Next AbstractDetermination and impact of volatile organics emitted during rush hours in the ambient air around gasoline stations »

J Hazard Mater


Title:Multivariate statistical study of organic pollutants in Nanjing reach of Yangtze River
Author(s):Wu B; Zhao D; Zhang Y; Zhang X; Cheng S;
Address:"State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210093, China"
Journal Title:J Hazard Mater
Year:2009
Volume:20090424
Issue:1-Mar
Page Number:1093 - 1098
DOI: 10.1016/j.jhazmat.2009.04.065
ISSN/ISBN:1873-3336 (Electronic) 0304-3894 (Linking)
Abstract:"Multivariate statistical approach was used to identify the source apportionment of 25 semi-volatile compounds (SVOCs) in surface water in Nanjing reach of Yangtze River, China. Surface water samples were collected from six sites in January 2007. Concentrations of SVOCs were determined by gas chromatography equipped with a mass spectrometry detector (GC-MS). Cluster analysis (CA) and principal component analysis-multiple linear regression (PCA-MLR) were used for evaluation of contamination status, distribution and source apportionment. The results of CA showed that the six sites in this study could be divided into two significant groups, i.e. low and high pollutant groups. PCA-MLR results suggested that four source types were identified, explaining about 84.5% of the total variance. Of four sources, industrial and domestic sewage sources contributed 43.5-64.8% of various SVOCs in six sites, precipitance and runoff sources 4.22-42.87%, shipping sources 4.22-23.49%, and other miscellaneous sources 1.05-8.97%. These results indicated that point source pollutants affected the water quality of this region. High correlation coefficient (R(2)=0.973) between the measured and predicted concentrations of SVOCs suggested the applicability of the PCA-MLR for estimation of source contribution to the SVOCs in water"
Keywords:"China Environmental Monitoring Gas Chromatography-Mass Spectrometry Multivariate Analysis Principal Component Analysis Rivers/*chemistry Sewage Volatile Organic Compounds/*analysis Water Pollutants, Chemical/*analysis;"
Notes:"MedlineWu, Bing Zhao, Dayong Zhang, Yan Zhang, Xuxiang Cheng, Shupei eng Research Support, Non-U.S. Gov't Netherlands 2009/05/19 J Hazard Mater. 2009 Sep 30; 169(1-3):1093-8. doi: 10.1016/j.jhazmat.2009.04.065. Epub 2009 Apr 24"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 19-12-2024