Water Quality Assessment on Fujiang River of China Using Projection Pursuit Model

Ben Lin Dai; Yu Long He; Jin Rong; Xiao Hui Jiang

doi:10.4028/www.scientific.net/AMR.204-210.1326

Paper Titles

A Comparative Study on Two Kinds of 3D Direct Capacitance Imaging Sensors
p.1310

An Electrical Capacitance Tomography System with Double Measurement Channels
p.1314

Blind Signature Based on Discrete Logarithm Type Cryptosystem
p.1318

Optimized E-Cash Scheme and its Formal Analysis
p.1322

Water Quality Assessment on Fujiang River of China Using Projection Pursuit Model
p.1326

Compensation of Phase Noise Effects for IEEE 802.16e OFDMA Systems
p.1330

A Review of Super-Resolution Restoration from Image Sequences
p.1336

Risk-Sharing Mechanism Theoretical Research between Bank and Credit Guarantee Institution Cooperation under Asymmetric Information
p.1342

Research on Microcomputer Relay Protection Anti-Interference of 500kV Transmission Line in MATLAB
p.1346

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 204-210Water Quality Assessment on Fujiang River of China...

Water Quality Assessment on Fujiang River of China Using Projection Pursuit Model

Abstract:

Due to the increasingly serious water quality degradation on river, the study on river water quality status assessment has attracted more and more attention of the researchers and decision-makers. In this paper, water quality assessment of Fujiang River from January 2005 to December 2005 was studied by projection pursuit model (PPM). The water quality status of Fujiang River was assessed by the use of 10 monitoring sections, with DO, COD_Mn, BOD₅, NH₃-N, Petroleum, and Volatile phenol indicators. Based on the PPM analysis procedures, the assessed sections are described into 1 “category 1”, 4 “category 2” and 5 “category 3” states in 2005. The relative comparison results show that water quality status spatial order of Fujiang River from bad to good is: Fj09<Fj02< Fj10<Fj07< Fj03<Fj05<Fj04< Fj06<Fj08<Fj01.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Pages:

1326-1329

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.204-210.1326

Citation:

Cite this paper

Online since:

February 2011

Authors:

Ben Lin Dai, Yu Long He, Jin Rong, Xiao Hui Jiang

Keywords:

Principal Component Analysis (PCA), Projection Pursuit Model, Water Quality Assessment

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] L. Liu, J. Z. Zhou, X. L. An, Y. C. Zhang and L. Yang: Expert Syst. Appl. Vol. 37 (2010), p.2517.

Google Scholar

[2] R. Koklu, B. Sengorur and B. Topal: Water Resour. Manag. Vol. 24 (2010), p.960.

Google Scholar

[3] E. Alparslan, C. Aydöner, V. Tufekci and H. Tüfekci: Environ. Monit. Assess. Vol. 135 (2007), p.395.

DOI: 10.1007/s10661-007-9658-6

Google Scholar

[4] M. E. Kotti, A. G. Vlessidis, N. C. Thanasoulias and N. P. Evmiridis: Water Resour. Manag. Vol. 19 (2005), p.83.

Google Scholar

[5] J. L. Jin, L. Li, W. S. Wang and M. Zhang: Journal of Ocean University of China (Oceanic and Coastal Sea Research) (China) Vol. 30 (2006), p.291.

Google Scholar

[6] S. L. Yang, S. Wang and D. N. Gong: Eng. Sci. (China) Vol. 4 (2006), p.87.

Google Scholar

[7] S. Wang, S. L. Yang and X. J. Ma: Eng. Sci. (China) Vol. 6 (2008), p.51.

Google Scholar

[8] S. J. Wang, Z. F. Yang and J. Ding: J. Environ. Sci. (China) Vol. 16 (2004), p.994.

Google Scholar

[9] S. J. Wang and C. J. Ni: Water Resour. Manag. Vol. 22 (2008), p.1425.

Google Scholar

[10] Q. Fu and X. Y Zhao: Projection pursuit model principle and its application (Science Press, Beijing 2004) (In Chinese).

Google Scholar

[11] Z. Y. Li, J. Ding and L. H. Peng: Principles and methods of environmental quality assessment (Chemical Industry Press, Beijing 2004) (In Chinese).

Google Scholar