Literature DB >> 23513441

Water quality evaluation based on improved fuzzy matter-element method.

Dongjun Liu1, Zhihong Zou.   

Abstract

For natural water, method of water quality evaluation based on improved fuzzy matter-element evaluation method is presented. Two important parts are improved, the weights determining and fuzzy membership functions. The coefficient of variation of each indicator is used to determine the weight instead of traditional calculating superscales method. On the other hand, fuzzy matter-elements are constructed, and normal membership degrees are used instead of traditional trapezoidal ones. The composite fuzzy matter-elements with associated coefficient are constructed through associated transformation. The levels of natural water quality are determined according to the principle of maximum correlation. The improved fuzzy matter-element evaluation method is applied to evaluate water quality of the Luokou mainstream estuary at the first ten weeks in 2011 with the coefficient of variation method determining the weights. Water quality of Luokou mainstream estuary is dropping from level I to level II. The results of the improved evaluation method are basically the same as the official water quality. The variation coefficient method can reduce the workload, and overcome the adverse effects from abnormal values, compared with the traditional calculating superscales method. The results of improved fuzzy matter-element evaluation method are more credible than the ones of the traditional evaluation method. The improved evaluation method can use information of monitoring data more scientifically and comprehensively, and broaden a new evaluation method for water quality assessment.

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Year:  2012        PMID: 23513441     DOI: 10.1016/s1001-0742(11)60938-8

Source DB:  PubMed          Journal:  J Environ Sci (China)        ISSN: 1001-0742            Impact factor:   5.565


  8 in total

1.  Dynamic water quality evaluation based on fuzzy matter-element model and functional data analysis, a case study in Poyang Lake.

Authors:  Bing Li; Guishan Yang; Rongrong Wan; Georg Hörmann
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-28       Impact factor: 4.223

2.  Selection of Atmospheric Environmental Monitoring Sites based on Geographic Parameters Extraction of GIS and Fuzzy Matter-Element Analysis.

Authors:  Jianfa Wu; Dahao Peng; Jianhao Ma; Li Zhao; Ce Sun; Huanzhang Ling
Journal:  PLoS One       Date:  2015-04-29       Impact factor: 3.240

3.  Water quality assessment in the Harbin reach of the Songhuajiang River (China) based on a fuzzy rough set and an attribute recognition theoretical model.

Authors:  Yan An; Zhihong Zou; Ranran Li
Journal:  Int J Environ Res Public Health       Date:  2014-03-26       Impact factor: 3.390

4.  Comprehensive Eutrophication Assessment Based on Fuzzy Matter Element Model and Monte Carlo-Triangular Fuzzy Numbers Approach.

Authors:  Yumin Wang; Weijian Ran
Journal:  Int J Environ Res Public Health       Date:  2019-05-19       Impact factor: 3.390

5.  Integration of Fuzzy Matter-Element Method and 3D-QSAR Model for Generation of Environmentally Friendly Quinolone Derivatives.

Authors:  Xixi Li; Baiyu Zhang; Wendy Huang; Cuirin Cantwell; Bing Chen
Journal:  Int J Environ Res Public Health       Date:  2020-05-06       Impact factor: 3.390

6.  Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata.

Authors:  Zaiyong Wang; Qi Zhang; Jianli Shao; Wenquan Zhang; Xintao Wu; Yu Lei; Xunan Wu
Journal:  ACS Omega       Date:  2021-12-08

7.  Descriptive Characteristics of Surface Water Quality in Hong Kong by a Self-Organising Map.

Authors:  Yan An; Zhihong Zou; Ranran Li
Journal:  Int J Environ Res Public Health       Date:  2016-01-08       Impact factor: 3.390

8.  Eutrophication Assessment Based on the Cloud Matter Element Model.

Authors:  Yumin Wang; Xian'e Zhang; Yifeng Wu
Journal:  Int J Environ Res Public Health       Date:  2020-01-03       Impact factor: 3.390

  8 in total

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