Autor: Dong, L. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Mixing characteristics of the subarctic front in the Kuroshio-Oyashio confluence region
Autorzy:: Ke-Lan, Z.
Xi, C.
Ke-Feng, M.
Dong, H.
Sen, H.
Yan, L.
Powiązania:: https://bibliotekanauki.pl/articles/49009.pdf
Data publikacji:: 2019
Wydawca:: Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:: Subarctic Front
Kuroshio-Oyashio confluence region
sea surface temperature
salinity
topography
geostrophic flow
thermohaline
structural characteristics
turbulent mixing
Źródło:: Oceanologia; 2019, 61, 1
0078-3234
Pojawia się w:: Oceanologia
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: 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.
Powiązania:: https://bibliotekanauki.pl/articles/49096.pdf
Data publikacji:: 2009
Wydawca:: Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:: robust principal component analysis
water quality
chemometrics
China
cluster analysis
Daya Bay
Opis:: 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.
Źródło:: Oceanologia; 2009, 51, 2; 217-232
0078-3234
Pojawia się w:: Oceanologia
Dostawca treści:: Biblioteka Nauki

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