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논문 기본 정보

자료유형
학술저널
저자정보
Shiguo Xu (Shandong Normal University) Yixiao Cui (Shandong Normal University) Chuanxi Yang (Shandong Normal University) Shujing Wei (Jinan Engineering Vocational Technical College) Wenping Dong (Shandong Academy of Environmental Science) Lihui Huang (Shandong University) Changqing Liu (Qingdao Technological University) Zongming Ren (Shandong Normal University) Weiliang Wang (Shandong Normal University)
저널정보
대한환경공학회 Environmental Engineering Research Environmental Engineering Research 제26권 제2호
발행연도
2021.4
수록면
222 - 232 (11page)

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초록· 키워드

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The Fuzzy Comprehensive Evaluation (FCE) and the Principal Component Analysis (PCA) were simulated to assess water quality of the Nansi Lake Basin, China. The membership functions were established via the Nor-Half Sinusoidal Distribution Method, and the weight was calculated via the Exceeding Standard Multiple Method. To enhance the efficiency of extracting principal pollutant, the eigenequation was solved through the Jacobi Method, and the principal components were extracted based on eigenvalue, contribution ratio, accumulating contribution ratio, principal component loading and score. Water quality classification based on “National Surface Water Environmental Quality Standards of China (GB3838-2002) was used to assess the water quality. Considering the difference of the temporal and spatial distribution in average, water quality of Level I was 28.9%, 28.1%, 25.1%, 25.6%, respectively in spring, summer, autumn, and winter, which suggested that water quality in spring and summer was better than in autumn and winter. The order of water quality was Zhaoyang Lake (Level I) > Nanyang Lake (Level I) > Dushan Lake (Level III) > Weishan Lake (Level III and IV). There were four extracted principal components that can replace the fourteen pollutant indexes for assessing water quality. According to the annual mean data of the 1<SUP>st</SUP> principal components, the most important pollutions were heavy metals, including As (0.933), Hg (0.931), Cd (0.929), Cr(VI) (0.926), Pb (0.925), and Cu (0.534). It is proved that the combined FCE-PCA model could provide valuable information in the water quality assessment for the Nansi Lake Basin.

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ABSTRACT
1. Introduction
2. Experimental Design
3. Results and Discussion
4. Conclusions
References

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