Using chemometrics to identify water quality in Daya Bay, China

• Autorzy: Wu, M-L. , Wang, Y-S. , Sun, C-C. , Wang, H. , Lou, Z-P. , Dong, J-D.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

cluster analysis (CA); robust principal component analysis; water quality; Daya Bay (DYB); South China Sea

• Czasopismo: Oceanologia
• Rocznik: 2009
• Tom: No. 51 (2)
• Strony: 217-232
• Opis fizyczny: bibliogr. 23 poz., tab., wykr.

Twórcy

autor

Wu, M-L.

autor

Wang, Y-S.

autor

Sun, C-C.

autor

Wang, H.

autor

Lou, Z-P.

autor

Dong, J-D.

• Key Laboratory of Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;,

Bibliografia

• 1.Bowen R. E., DepledgeM.H., 2006, Rapid assessment of marine pollution (RAMP), Mar. Pollut. Bull., 53 (10-12), 631-639.
• 2.Chau K.W., Muttil N., 2007, Data mining and multivariate statistical analysis for ecological system in coastal waters, J. Hydroinform., 9 (4), 305-317.
• 3.Croux C., Ruiz-Gazen A., 2005, High breakdown estimators for principal components: the projection-pursuit approach revisited, J. Multivar. Anal., 95 (1), 206-226.
• 4.Gong F., Wang B.T., Fung Y. S., Chau F.T., 2005, Chemometric characterization of the quality of the atmospheric environment in Hong Kong, Atmos. Environ., 39 (34), 6388-6397.
• 5.Iscen C. F., Emiroglu Ö., Ilhan S., Arslan N., Yilmaz V., Ahiska S., 2008, Application of multivariate statistical techniques in the assessment of surface water quality in Uluabat Lake, Turkey, Environ. Monit. Assess., 144 (1-3), 269-276.
• 6.Kotti M. E., Vlessidis A.G., Thanasoulias N.C., Evmiridis N.P., 2005, Assessment of river water quality in Northwestern Greece, Water Resour. Manag., 19 (1), 77-94.
• 7.Kuppusamy M.R., Giridhar V.V., 2006, Factor analysis of water quality characteristics including trace metal speciation in the coastal environmental system of Chennai Ennore, Environ. Int., 32 (2), 174-179.
• 8.Qiu Y.W., Wang Z.D., Zhu L. S., 2005, Variation trend of nutrient and chlorophyll contents and their effects on ecological environment in Daya Bay, J. Oceanogr.- Taiwan Strait, 24 (2), 131-139, (in Chinese).
• 9.Shrestha S., Kazama F., 2007, Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan, Environ. Modell. Softw., 22 (4), 464-475.
• 10.Simeonov V., Stratis J.A., Samara C., Zachariadis G., Voutsa D., Anthemidis A., Sofoniou M., Kouimtzis Th., 2003, Assessment of the surface water quality in Northern Greece, Water Res., 37 (17), 4119-4124.
• 11.Simeonova P., Simeonov V., Andreev G., 2003, Water quality study of the Struma river basin, Bulgaria (1989-1998), Centr. Eur. J. Chem., 1 (2), 121-136.
• 12.Singh K.P., Malik A., Mohan D., Sinha S., 2004, Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India) - a case study, Water Res., 38 (18), 3980-3992.
• 13.Song X.Y., Huang L.M., Zhang J. L., Huang X.P., Zhang J. B., Yin J. Q., 2004, Variation of phytoplankton biomass and primary production in Daya Bay during spring and summer, Mar. Pollut. Bull., 49 (11-12), 1036-1044.
• 14.Stanimirova I., Walczak B., Massart D. L., Simeonov V., 2004, A comparison between two robust PCA algorithms, Chemometr. Intell. Lab., 71 (1), 83-95.
• 15.Suikkanen S., Laamanen M., Huttunen M., 2007, Long-term changes in summer phytoplankton communities of the open northern Baltic Sea, Estuar. Coast. Shelf Sci., 71 (3-4), 580-592.
• 16.Vega M., Pardo R., Barrado E., Deban L., 1998, Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis, Water Res., 32 (12), 3581-3592.
• 17.Wang Y. S., Lou Z.P., Sun C.C., Sun S., 2008, Ecological environment changes in Daya Bay, China, from 1982 to 2004, Mar. Pollut. Bull., 56 (11), 1871-1879.
• 18.Wang Y. S., Lou Z.P., Sun C.C., Wu M. L., Han S.H., 2006, Multivariate statistical analysis of water quality and phytoplankton characteristics in Daya Bay, China, from 1999 to 2002, Oceanologia, 48 (2), 193-211.
• 19.Wang C.H., Qi Y. Z., Li J.T., Xu N., Chen J.F., 2004, Analysis and evaluation of trophic status in aquaculture areas of Daya Bay, Mar. Environ. Sci., 23 (2), 25-28, (in Chinese).
• 20.Wu M. L., Wang Y. S., 2007, Using chemometrics to evaluate anthropogenic effects in Daya Bay, China, Estuar. Coast. Shelf Sci., 72 (4), 732-742.
• 21.Xu G. Z., 1989, Environments and resources of Daya Bay, Anhui Sci. Publ., HeFei, China, 1-28, (in Chinese).
• 22.Zheng Q.H., He Y. Q., Zhang G.X., 1998, Impact on the changes of chemical composition of seawater from waste water discharged in Daya Bay, [in:] Annual research reports: Marine Biology research station at Daya Bay (II), J. Pen & Z. Wang (eds.), Sci. Publ., Beijing, China, 102-112, (in Chinese).
• 23.Zhou F., Guo H.C., Hao Z. J., 2007, Spatial distribution of heavy metals in Hong Kong's marine sediments and their human impacts: A GIS-based chemometric approach, Mar. Pollut. Bull., 54 (9), 1372-1384.