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Application of multivariate statistical analysis to study the human impact on the water quality of the Du tributary in the Cau river basin.

Huong Hoang UGent, Koen Lock UGent, Peter Goethals UGent and Kim Chi Dang (2009) JOURNAL OF SCIENCE AND TECHNOLOGY. TECHNICAL UNIVERSITIES. p.88-95
abstract
Monitoring program is crucial aspect of the river management. However it is more important to make interpretation of the monitoring data in order draw an appropriate management measures for restoration and improvement of river water quality. Within the context of this study, we posed two problems: (1) identification of the factors that influence the water quality of the river and (2) clustering monitoring sites according to ecological health. Resolving these two problems necessitated the application of multivariate statistical analysis methods, including parametric and non-parametric correlations, canonical correlation analysis and hierarchical cluster analysis using Bray-Curtis distance. These methods thus are being applied to analysis on human impacts on ecological health of the river based on distribution of macroinvertebrate communities. As for the factors influencing the river health, multivariate statistical analysis exposed the influence of the metal concentration (total Fe), dissolved oxygen, and to a lesser degree, the nutrient enrichment.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
journal title
JOURNAL OF SCIENCE AND TECHNOLOGY. TECHNICAL UNIVERSITIES
J. Sci. Technol., Techn. Univ.
issue
72A
pages
88 - 95
ISSN
0868-3980
language
English
UGent publication?
yes
classification
A2
copyright statement
I have transferred the copyright for this publication to the publisher
id
3187995
handle
http://hdl.handle.net/1854/LU-3187995
date created
2013-04-09 10:04:36
date last changed
2016-12-19 15:40:06
@article{3187995,
  abstract     = {Monitoring program is crucial aspect of the river management. However it is more important to make interpretation of the monitoring data in order draw an appropriate management measures for restoration and improvement of river water quality. Within the context of this study, we posed two problems: (1) identification of the factors that influence the water quality of the river and (2) clustering monitoring sites according to ecological health. Resolving these two problems necessitated the application of multivariate statistical analysis methods, including parametric and non-parametric correlations, canonical correlation analysis and hierarchical cluster analysis using Bray-Curtis distance. These methods thus are being applied to analysis on human impacts on ecological health of the river based on distribution of macroinvertebrate communities. As for the factors influencing the river health, multivariate statistical analysis exposed the influence of the metal concentration (total Fe), dissolved oxygen, and to a lesser degree, the nutrient enrichment.},
  author       = {Hoang, Huong and Lock, Koen and Goethals, Peter and Dang, Kim Chi},
  issn         = {0868-3980},
  journal      = {JOURNAL OF SCIENCE AND TECHNOLOGY. TECHNICAL UNIVERSITIES},
  language     = {eng},
  number       = {72A},
  pages        = {88--95},
  title        = {Application of multivariate statistical analysis to study the human impact on the water quality of the Du tributary in the Cau river basin.},
  year         = {2009},
}

Chicago
Hoang, Huong, Koen Lock, Peter Goethals, and Kim Chi Dang. 2009. “Application of Multivariate Statistical Analysis to Study the Human Impact on the Water Quality of the Du Tributary in the Cau River Basin.” Journal of Science and Technology. Technical Universities (72A): 88–95.
APA
Hoang, H., Lock, K., Goethals, P., & Dang, K. C. (2009). Application of multivariate statistical analysis to study the human impact on the water quality of the Du tributary in the Cau river basin. JOURNAL OF SCIENCE AND TECHNOLOGY. TECHNICAL UNIVERSITIES, (72A), 88–95.
Vancouver
1.
Hoang H, Lock K, Goethals P, Dang KC. Application of multivariate statistical analysis to study the human impact on the water quality of the Du tributary in the Cau river basin. JOURNAL OF SCIENCE AND TECHNOLOGY. TECHNICAL UNIVERSITIES. 2009;(72A):88–95.
MLA
Hoang, Huong, Koen Lock, Peter Goethals, et al. “Application of Multivariate Statistical Analysis to Study the Human Impact on the Water Quality of the Du Tributary in the Cau River Basin.” JOURNAL OF SCIENCE AND TECHNOLOGY. TECHNICAL UNIVERSITIES 72A (2009): 88–95. Print.