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    Use of a Bayesian isotope mixing model to estimate proportional contributions of multiple nitrate sources in surface water

    New search for: Xue, Dongmei
    New search for: De Baets, Bernard
    New search for: Van Cleemput, Oswald
    New search for: Hennessy, Carmel
    New search for: Berglund, Michael
    New search for: Boeckx, Pascal

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    Use of a Bayesian isotope mixing model to estimate proportional contributions of multiple nitrate sources in surface water

    New search for: Xue, Dongmei
    New search for: De Baets, Bernard
    New search for: Van Cleemput, Oswald
    New search for: Hennessy, Carmel
    New search for: Berglund, Michael
    New search for: Boeckx, Pascal

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Use of a Bayesian isotope mixing model to estimate proportional contributions of multiple nitrate sources in surface water

    New search for: Xue, Dongmei
    New search for: De Baets, Bernard
    New search for: Van Cleemput, Oswald
    New search for: Hennessy, Carmel
    New search for: Berglund, Michael
    New search for: Boeckx, Pascal

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Document information
    Title:

    Use of a Bayesian isotope mixing model to estimate proportional contributions of multiple nitrate sources in surface water

    Contributors:

    Xue, Dongmei (author) / De Baets, Bernard / Van Cleemput, Oswald / Hennessy, Carmel / Berglund, Michael / Boeckx, Pascal

    Published in:

    Environmental pollution <London> ; 161

    Publication date:

    2012

    ISSN:

    0013-9327

    Type of media:

    Article (Journal)

    Type of material:

    Print

    Language:

    English

    Keywords:

    Umweltverschmutzung

    Classification:

    RVK:  AR 10100
    BKL:  30.00 / 43.00

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