Improvement of Grey Clustering Model for Comprehensive Assessment of Environmental Quality: A Case Study in Water Environment

Abstract:

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The comprehensive assessment of environmental quality is useful for comparison of environmental quality and identification of pollution trends. In the comprehensive assessment methods, many studies proved that grey clustering method is accurate and effective. However, the zero-weight problem occurs in the traditional grey clustering method (TGCM). This flaw may lead to the assessment result distortion. To solve this problem, this paper proposes a modified grey clustering method (MGCM) in which the linear whitening functions in the traditional grey clustering method is replaced by exponential functions. The modified method was applied to assess water quality of four monitoring sections in the Yuhang section of the Tiaoxi River. Then, the results were compared with those obtained with the TGCM. The comparisons show that solving the zero-weight problem can lead to different assessment results and the MGCM is effective to solve the zero-weight problem. The MGCM is more accurate than the TGCM.

Info:

Periodical:

Advanced Materials Research (Volumes 356-360)

Edited by:

Hexing Li, Qunjie Xu and Daquan Zhang

Pages:

2222-2227

DOI:

10.4028/www.scientific.net/AMR.356-360.2222

Citation:

L. Q. Fan et al., "Improvement of Grey Clustering Model for Comprehensive Assessment of Environmental Quality: A Case Study in Water Environment", Advanced Materials Research, Vols. 356-360, pp. 2222-2227, 2012

Online since:

October 2011

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Price:

$35.00

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