Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "Wang, L." wg kryterium: Autor

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-10 z 10
    Tytuł:
    Trophic connectivity between intertidal and offshore food webs in Mirs Bay, China
    Autorzy:
    Ning, J.
    Du, F.
    Wang, X.
    Wang, L.
    Li, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/47613.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    intertidal zonation
    offshore zone
    food web
    different habitat
    trophic interaction
    stable isotope
    carbon isotope composition
    Mirs Bay
    China
    Źródło:
    Oceanologia; 2019, 61, 2
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Distribution and role of the genus Oithona (Copepoda: Cyclopoida) in the South China Sea
    Autorzy:
    Wang, L.
    Du, F.
    Wang, X.
    Li, Y.
    Ning, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/47786.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    Oithona
    Copepoda
    Cyclopoida
    temperature
    hydrological factor
    phytoplankton
    ichthyoplankton
    South China Sea
    Oithona plumifera
    Oithona similis
    Opis:
    The relationships between the small cyclopoid copepod Oithona and hydrological factors, phytoplankton and ichthyoplankton were evaluated using the data obtained in the central South China Sea (SCS) in summer 2014. The genus abundance ranged from 6.00 ind. m3 to 93.75 ind. m3 with high abundance band occurring in the branch of SCS Monsoon Jet. The lower temperature and higher salinity in the surface water of the band than other zones indicated that deep water intrusion was a positive factor for aggregation of the genus. The community structure of the genus was dominated by Oithona plumifera and Oithona similis made up 97% of the genus abundance associated with Oithona tenuis. The result of db-RDA analysis showed that the community structure of the genus was affected by temperature, Chl a, larval fishes and fish spawns, and temperature was the most important limiting factor. The result of GAMs analysis showed that abundance of O. tenuis, and copepodites were affected by Chl a, larval fishes and fish spawns; abundance of O. similis was affected by Chl a and fish spawns; and abundance of O. plumifera was affected by Chl a and larval fishes. Therefore, we suggest that the branch of SCS Monsoon Jet and deep water intrusion favor aggregation of plankton in the central SCS in summer. We confirm that the temperature is the limiting factor to the reproduction of the genus Oithona in tropic seas and the genus Oithona is a food-web linker between primary production and larval fishes in the central SCS.
    Źródło:
    Oceanologia; 2017, 59, 3
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Stokes transport in layers in the water column based on long-term wind statistics
    Autorzy:
    Myrhaug, D.
    Wang, H.
    Holmedal, L.R.
    Powiązania:
    https://bibliotekanauki.pl/articles/48704.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    surface gravity wave
    water column
    water transport velocity
    wind
    Stokes transport
    North Sea
    North Atlantic
    Źródło:
    Oceanologia; 2018, 60, 3
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Addendum to “Sea spray aerosol flux estimation based on long-term variation of wave statistics”: estimation based on long-term variation of wind statistics
    Autorzy:
    Myrhaug, D.
    Wang, H.
    Holmedal, L.E.
    Powiązania:
    https://bibliotekanauki.pl/articles/48948.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    sea spray
    aerosol flux
    wind speed
    long-term variation
    North Sea
    Źródło:
    Oceanologia; 2016, 58, 2
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Sea spray aerosol flux estimation based on long-term variation of wave statistics
    Autorzy:
    Myrhaug, D.
    Wang, H.
    Holmedal, L.E.
    Powiązania:
    https://bibliotekanauki.pl/articles/47632.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    sea spray
    aerosol flux
    whitecap
    wave height
    long-term variation
    wave statistics
    Źródło:
    Oceanologia; 2015, 57, 3
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Addendum to “Stokes transport in layers in the water column based on long-term wind statistics: assessment using long-term wave statistics”
    Autorzy:
    Myrhaug, D.
    Wang, H.
    Holmedal, L.E.
    Powiązania:
    https://bibliotekanauki.pl/articles/47811.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    surface gravity wave
    water transport velocity
    Stokes transport
    water column
    wind statistics
    long-term wave statisticsstatistic
    Źródło:
    Oceanologia; 2019, 61, 4
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    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:
    Demonstration of a new indicator for studying upwelling in the Northern South China Sea
    Autorzy:
    Lin, L.
    Wang, Y.-S.
    Sun, C.-C.
    Li, N.
    Wang, H.
    Mitchell, B.G.
    Wu, M.-L.
    Song, H.
    Wu, J.-F.
    Powiązania:
    https://bibliotekanauki.pl/articles/48889.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    China Sea
    cluster analysis
    multivariate statistical analysis
    principal component analysis
    remote sensing
    satellite monitoring
    sea surface temperature
    silicate
    spatial distribution
    upwelling
    Opis:
    In order to demonstrate that silicate (SiO3-Si) can be used as an indicator to study upwelling in the northern South China Sea, hierarchical cluster analysis (CA) and principle component analysis (PCA) were applied to analyse the metrics of the data consisting of 14 physical-chemical-biological parameters at 32 stations. CA categorized the 32 stations into two groups (low and high nutrient groups). PCA was applied to identify five Principal Components (PCs) explaining 78.65% of the total variance of the original data. PCA found important factors that can describe nutrient sources in estuarine, upwelling, and non-upwelling areas. PC4, representing the upwelling source, is strongly correlated to SiO3-Si. The spatial distribution of silicate from the surface to 200 m depth clearly showed the upwelling regions, which is also supported by satellite observations of sea surface temperature.
    Źródło:
    Oceanologia; 2011, 53, 2
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Factors regulating the compositions and distributions of dissolved organic matter in the estuaries of Jiaozhou Bay in North China
    Autorzy:
    Hu, J.
    Zou, L.
    Wang, J.
    Ren, Q.
    Xia, B.
    Yu, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/48070.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    organic matter
    chromophoric dissolved organic matter
    dissolved organic matter
    particulate organic matter
    total carbohydrate
    amino acid
    biogeochemical process
    coastal environment
    chlorophyll a
    North China
    Źródło:
    Oceanologia; 2020, 62, 1
    0078-3234
    Pojawia się w:
    Oceanologia
    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 1-10 z 10

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies