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    Filling Data Algorithms in Urban Air Pollution Monitoring Networks

    Source: Journal of Environmental Engineering:;1997:;Volume ( 123 ):;issue: 004
    Author:
    F. Valero
    ,
    R. M. Rodríguez
    ,
    J. A. García-Miguel
    DOI: 10.1061/(ASCE)0733-9372(1997)123:4(395)
    Publisher: American Society of Civil Engineers
    Abstract: The air pollution monitoring data records are not entirely complete, making it difficult to estimate the required statistical parameters with an acceptable error and level of confidence. An intercomparison of various strategies for interpolating daily values over the Madrid urban air pollution monitoring (UAPM) network has been undertaken for the following set of air pollutants: SO
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      Filling Data Algorithms in Urban Air Pollution Monitoring Networks

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/47664
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    • Journal of Environmental Engineering

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    contributor authorF. Valero
    contributor authorR. M. Rodríguez
    contributor authorJ. A. García-Miguel
    date accessioned2017-05-08T21:20:30Z
    date available2017-05-08T21:20:30Z
    date copyrightApril 1997
    date issued1997
    identifier other%28asce%290733-9372%281997%29123%3A4%28395%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/47664
    description abstractThe air pollution monitoring data records are not entirely complete, making it difficult to estimate the required statistical parameters with an acceptable error and level of confidence. An intercomparison of various strategies for interpolating daily values over the Madrid urban air pollution monitoring (UAPM) network has been undertaken for the following set of air pollutants: SO
    publisherAmerican Society of Civil Engineers
    titleFilling Data Algorithms in Urban Air Pollution Monitoring Networks
    typeJournal Paper
    journal volume123
    journal issue4
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)0733-9372(1997)123:4(395)
    treeJournal of Environmental Engineering:;1997:;Volume ( 123 ):;issue: 004
    contenttypeFulltext
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