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  • 1
    Online Resource
    Online Resource
    Dordrecht :Springer Netherlands,
    Keywords: Oceanography-China Sea. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (239 pages)
    Edition: 1st ed.
    ISBN: 9789401108867
    Language: English
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  • 2
    Online Resource
    Online Resource
    Dordrecht :Springer Netherlands,
    Keywords: Oceanography-China Sea. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (592 pages)
    Edition: 1st ed.
    ISBN: 9789401108621
    Language: English
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  • 3
    Type of Medium: Book
    Pages: III, 89 S , Ill., graph. Darst
    Series Statement: Journal of marine systems 82.2010,Suppl.
    Language: English
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  • 4
    Book
    Book
    Dordrecht [u.a.] : Kluwer
    Keywords: Oceanography ; Pacific Ocean ; Aufsatzsammlung
    Type of Medium: Book
    ISBN: 9789401043724 , 0792326180
    DDC: 551.465
    Language: English
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  • 5
    Book
    Book
    Dordrecht [u.a.] : Kluwer
    Associated volumes
    In: Vol. 2
    Type of Medium: Book
    Pages: VI S., S. 345 - 573 , Ill., graph. Darst., Kt
    ISBN: 0792326172
    Language: English
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  • 6
    Book
    Book
    Dordrecht [u.a.] : Kluwer
    Associated volumes
    In: Vol. 1
    Type of Medium: Book
    Pages: XVI, 344 S , Ill., graph. Darst., Kt
    ISBN: 0792326164
    Language: English
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  • 7
    ISSN: 1573-8868
    Keywords: compositional data ; logratio transformation ; grain-size distribution ; sedimentary environment
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract Grain-size measurements are a type of compositional data and thus subject to closure effects and nonnormality. The logratio transform of Aitchison successfully resolves these problems in compositional data analysis. An application to modern sediment data from the northern part of the South China Sea demonstrates that logratio principal components analysis provides a clear separation of data which cannot be obtained by ordinary principal components analysis, and that cluster analysis using logratio principal components gives a much better classification of sediments than does cluster analysis using raw data. The delineation of sedimentary environments on the basis of a logratio classification of sediment samples provides a better understanding of hydrodynamic conditions on the shelf.
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical geology 15 (1983), S. 581-606 
    ISSN: 1573-8868
    Keywords: scaling ; correspondence analysis ; principal components analysis ; RQ-mode factor analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract It is mathematically possible to extract both R-mode and Q-mode factors simultaneously (RQ-mode factor analysis)by invoking the Eckhart-Young theorem. The resulting factors will be expressed in measures determined by the form of the scalings that have been applied to the original data matrix. Unless the measures for both solutions are meaningful for the problem at hand, the factor results may be misleading or uninterpretable. Correspondence analysis uses a symmetrical scaling of both rows and columns to achieve measures of proportional similarity between objects and variables. In the literature, the resulting similarity is a χ 2 distance appropriate for analysis of enumerated data, the original application of correspondence analysis. Justification for the use of this measure with interval or ratio data is unconvincing, but a minor modification of the scaling procedure yields the profile similarity, which is an appropriate measure. Symmetrical scaling of rows and columns is unnecessary for RQ-mode factor analysis. If the data are scaled so the minor product W'Wis the correlation matrix, the major product WW'is expressed in the Euclidean distances between objects. Therefore, RQ-mode factor analysis can be performed so that the Rmode is a principal components solution and the Qmode is a principal coordinates solution. For applications where the magnitudes of differences are important, this approach will yield more interpretable results than will correspondence analysis.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical geology 19 (1987), S. 207-218 
    ISSN: 1573-8868
    Keywords: robust statistics ; outliers ; geochemical data analysis ; background adjustment
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract Advantages of robust procedures over ordinary least-squares procedures in geochemical data analysis is demonstrated using NURE data from the Hot Springs Quadrangle, South Dakota, U.S.A. Robust principal components analysis with 5% multivariate trimming successfully guarded the analysis against perturbations by outliers and increased the number of interpretable factors. Regression with SINE estimates significantly increased the goodness-of-fit of the regression and improved the correspondence of delineated anomalies with known uranium prospects. Because of the ubiquitous existence of outliers in geochemical data, robust statistical procedures are suggested as routine procedures to replace ordinary least-squares procedures.
    Type of Medium: Electronic Resource
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  • 10
    Publication Date: 2017-04-04
    Description: The coastal areas are transition zones where land and ocean processes interact and play a critical role. Here, several factors may trigger environmental disasters or increases hydrogeological hazard. More than half of the global population lives in the 60 km wide coastal zone and the resources for populations, such as freshwater and food, depend on the critical relationships between land and sea and their variations due to both natural and anthropogenic causes. In particular, climate changes and stresses induced by human activities, e.g. pollution, engineering interventions for dams, flood control, canalization, deforestation, urbanization, agriculture and freshwater withdrawals, cause the degradation and the ravage of the habitat. In the new millennium the management of the use of coastal areas is focussed on the integration of the monitoring systems which have to provide data and information for decision support system-based actions. In 2008 the project “An integrated monitoring and management approach of hydrologic processes in coastal ecosystems for the understanding of the relationship between continental and marine waters in the Yantai (China) and in Venice (Italy) areas” started under the umbrella of the bilateral scientific and technological agreement between the National Research Council of Italy and the Chinese Academy of Sciences. The project is carried out by the Institute of Marine Sciences of Venice and the Institute of Coastal Zone Research for Sustainable Development of Yantai. This project aims at understanding the complex relationship between continental and marine groundwater, i.e. the salt water intrusion, in two coastal areas, the Laizhou Bay (Shandong Province) in the southern Bohai Sea (China) and the Venice Lagoon (Italy). In this work we report an overview of the salt water contamination process in the two study areas and some preliminary results on a survey carried out in the Venice Lagoon, which goal was to test seismic and geoelectrical surveys for the detection of buried morphological features, such as high-permeable sandy paleo-channels, that can enhance the flow of saline water from the lagoon-sea to the inland.
    Description: Published
    Description: Trieste, Italy
    Description: 6A. Monitoraggio ambientale, sicurezza e territorio
    Description: open
    Keywords: hydrogeological hazard ; Continuous Marine Electrical Resistivity Tomography ; coupled CERT-VHRS survey ; Very High Resolution Seismic survey ; very shallow water ; salt water contamination process ; buried morphological features ; Laizhou Bay ; Venice Lagoon ; 04. Solid Earth::04.05. Geomagnetism::04.05.08. Instruments and techniques
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Conference paper
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