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    Wyświetlanie 1-3 z 3
    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
    Artykuł
    Tytuł:
    Assessing soil environmental capacity on different land uses in a suburban area of Chengdu, China
    Autorzy:
    Yang, W.-L.
    Zhou, W.-Y.
    Wan, W.-X.
    Gou, S.-Z.
    Zhang, J.
    Deng, S.-H.
    Shen, F.
    Wang, Y.-J.
    Yang, H.
    Luo, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/207670.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    China
    soil pollution
    heavy metals
    soil
    vegetables
    Chiny
    zanieczyszczenie gleby
    metale ciężkie
    gleba
    warzywa
    Opis:
    Wenjiang (China) is the area which undertakes high-intensity planting activities. Additionally, the soil environmental capacity has been a hot area of research as it plays a key role in environmental protection planning, environmental impact assessment and sustainable development. In this paper, the static model of soil environmental capacity is employed to investigate the distribution of residual soil environmental capacity in Wenjiang. The results show that the soil environmental capacity of mercury is the largest for industrial land while it is the lowest in garlic-rice planting areas; the soil environmental capacity of arsenic is the largest in city construction land while it is the lowest in ecological conservation zone; the soil environmental capacity of lead is the largest in city construction land while it is the lowest in garlic-rice planting areas; and the soil environmental capacity of chromium is the largest in city construction land while it is the lowest in garlic-rice planting areas.
    Źródło:
    Environment Protection Engineering; 2019, 45, 2; 55-67
    0324-8828
    Pojawia się w:
    Environment Protection Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multivariate statistical analysis of water quality and phytoplankton characteristics in Daya Bay, China, from 1999 to 2002
    Autorzy:
    Wang, Y.S.
    Lou, Z.P.
    Sun, C.C.
    Wu, M.L.
    Han, S.H.
    Powiązania:
    https://bibliotekanauki.pl/articles/48049.pdf
    Data publikacji:
    2006
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    South China Sea
    water quality
    China
    phytoplankton
    Daya Bay
    multivariate statistical analysis
    Opis:
    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.
    Źródło:
    Oceanologia; 2006, 48, 2
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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