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Using chemometrics to identify water quality in Daya Bay, China

100%

Wu M.-L., Wang Y.-S., Sun C.-C., Wang H., Lou Z.-P., Dong J.-D.

Oceanologia

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2009

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tom 51

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nr 2

217-232

In this paper, chemometric approaches based on cluster analysis, classical and robust principal component analysis were employed to identify water quality in Daya Bay (DYB), China. The results show that these approaches divided water quality in DYB into two groups: stations S3, S8, S10 and S11 belong to cluster A, which lie in Dapeng Cove, Aotou Harbor and the north-eastern part of DYB, where water quality is related mainly to anthropogenic activities. The other stations belong to cluster B, which lie in the southern, central and eastern parts of DYB, where the quality is related mainly to water exchange with the South China Sea. Cluster analysis yields good results as a first exploratory method for evaluating spatial difference, but it fails to demonstrate the relationship between variables and environmental quality on the one hand and the untreated data on the other. However, with the aid of suitable chemometric approaches, the relationship between samples or variables can be investigated. Classical and robust principal component analysis can provide a visual aid for identifying the water environment in DYB, and then extracting specific information about relationships between variables and spatial variation trends in water quality.

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Seasonal variations in the abundance and sinking flux of biogenic silica in Daya Bay, Northern South China Sea

100%

Zhao X., Yang W., Ma H., Li J., Chen M., Fang Z., Zhang X., Zeng J., Qiu Y., Zheng M.

Oceanologia

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2019

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tom 61

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nr 2

3

Multivariate statistical analysis of water quality and phytoplankton characteristics in Daya Bay, China, from 1999 to 2002

100%

Wang Y. S., Lou Z. P., Sun C. C., Wu M. L., Han S. H.

Oceanologia

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2006

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tom 48

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nr 2

This study analyzed seasonal physicochemical and phytoplankton data collected at 12 marine monitoring stations in Daya Bay from 1999 to 2002. Cluster analysis based on water quality and phytoplankton parameters measured at the 12 stations could be grouped into three clusters: cluster I – stations S1,S2 , S7 and S11 in the southern part and the north-eastern part of Daya Bay; cluster II – stations S5, S6,S9 ,S1 0 and S12 in the central and north-eastern parts of Daya Bay; cluster III – stations S3,S 4 and S8 in the cage culture areas in the south-western part of Daya Bay and in the north-western part of the Bay near Aotou harbor. Bivariate correlations between phytoplankton density and the major physical and nutrient factors were calculated for all stations. Factor analysis shows that there were high positive loadings of pH,T IN and the ratio of TIN to PO4-P in the three clusters, which indicates that all the stations in the three clusters were primarily grouped according to their respective nutrient conditions.

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Monsoon-driven dynamics of water quality by multivariate statistical methods in Daya Bay, South China Sea

84%

Wu M.-L., Wang Y.-S., Sun C.-C., Sun F.-L., Cheng H., Wang Y.-T., Dong J.-D., Wu J.

Oceanological and Hydrobiological Studies

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2012

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tom 41

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nr 4

5

Identification of water quality and benthos characteristics in Daya Bay, China, from 2001 to 2004

67%

Wang Y.-S., Sun C.-C., Lou Z.-P., Wang H., Mitchell B. G., Wu M.-L., Sun Z.-X.

Oceanological and Hydrobiological Studies

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2011

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tom 40

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nr 1

6

Seasonal patterns and environmental drivers of nirS- and nirK-encoding denitrifiers in sediments of Daya Bay, China

67%

Shi R., Xu S., Qi Z., Huang H., Liang Q.

Oceanologia

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2019

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tom 61

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nr 3

7

Short-term variation in zooplankton community from Daya Bay with outbreaks of Penilia avirostris

67%

Li K., Yin J., Tan Y., Huang L., Song X.

Oceanologia

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2014

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tom 56

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nr 3

Ograniczanie wyników

Using chemometrics to identify water quality in Daya Bay, China

Seasonal variations in the abundance and sinking flux of biogenic silica in Daya Bay, Northern South China Sea

Multivariate statistical analysis of water quality and phytoplankton characteristics in Daya Bay, China, from 1999 to 2002

Monsoon-driven dynamics of water quality by multivariate statistical methods in Daya Bay, South China Sea

Identification of water quality and benthos characteristics in Daya Bay, China, from 2001 to 2004

Seasonal patterns and environmental drivers of nirS- and nirK-encoding denitrifiers in sediments of Daya Bay, China

Short-term variation in zooplankton community from Daya Bay with outbreaks of Penilia avirostris