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Identification of coastal water quality, including heavy metals, in the South China Sea

100%

Wu M.-L., Zhang Y.-Y., Long L.-J., Zhang S., Wang Y.-S., Ling J., Dong J.-D.

Polish Journal of Environmental Studies

2012

tom 21

nr 5

Human activities and natural processes like mixing and/or upwelling driven by climate change have a strong influence on water quality in the coastal regions. Human activities are the dominant factor for water quality in the mouth of the Sanya River. This region exhibited the maximum influence of discharge from the Saya estimated by higher nutrient levels and chlorophyll a (Chl a). Natural processes are the dominant factor regarding water quality in outer bay. Both human activities and natural processes play important roles on water quality in Sanya Bay. Each hydrologie and ecological zone has a specific water quality response associated with the relative importance of both human activities and natural processes. Therefore, the information would be useful for regional agencies in developing a strategy to carry out scientific plans for resource use based on marine system functions.

Vertical variations of bacterial community composition in South China Sea determined by DGGE fingerprinting and multivariate analysis

100%

Yin J.-P., Ling J., Dong J.-D., Wu M.-L., Zhang Y.-Y., Wang Y.-S.

Polish Journal of Environmental Studies

2014

tom 23

nr 5

Vertical variations of bacterial community composition in the South China Sea was investigated on 18 September 2009 by denaturing gradient gel electrophoresis (DGGE) and analyzed by multivariate analysis. Twenty-seven sequences retrieved from DGGE bands fell into five groups based on BLAST analysis. The dominant bacteria were Cyanobacteria (35.7%) and Proteobacteria (39.2%). The DGGE profile showed Proteobacteria mostly obtained from samples from the deeper layers while sequences related to Cyanobacteria only existed in the euphotic layer. Other phylogenetic groups have been identified as Firmicutes (10.7%), Actinobacteria (7.1%), and Deinococcus-Thermus (3.6%). The unweighted pair group method with arithmetic mean has been employed to cluster the samples, and results indicated that all samples tended to group together on the basis of depth and could be further subclassified into two subgroups: Group I (including samples from 0 m, 50 m, 75 m, 100 m, and 150 m) and Group II (including samples from 200 m, 400 m, 500 m, 600 m, 700 m, and 900 m). Canonical correspondence analysis revealed the temperature was the most significant factor in determining the vertical distribution of the bacterial community (P=0.018, P<0.05).

Ograniczanie wyników

2 Polish Journal of Environmental Studies

2 Dong J.-D.

2 Ling J.

2 Wang Y.-S.

2 Wu M.-L.

2 Zhang Y.-Y.

1 Long L.-J.

1 Yin J.-P.

1 Zhang S.

1 2014

1 2012

Wyniki wyszukiwania

Identification of coastal water quality, including heavy metals, in the South China Sea

Vertical variations of bacterial community composition in South China Sea determined by DGGE fingerprinting and multivariate analysis