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    Water Quality Data Analysis in Chung Kang River

    Source: Journal of Environmental Engineering:;1987:;Volume ( 113 ):;issue: 001
    Author:
    Bindu N. Lohani
    ,
    Michael M. Wang
    DOI: 10.1061/(ASCE)0733-9372(1987)113:1(186)
    Publisher: American Society of Civil Engineers
    Abstract: Box‐Jenkins time series analysis for the monthly water quality data in Chung Kang River was conducted. It was found that the autoregressive models with order one could be used, and forecasting with seasonal data seems to perform well when the Box‐Jenkins technique is combined with nonparametric transformation. Further, the three‐model structure selection criteria used in the analysis has very good consistency in selecting the best model.
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      Water Quality Data Analysis in Chung Kang River

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/34142
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    • Journal of Environmental Engineering

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    contributor authorBindu N. Lohani
    contributor authorMichael M. Wang
    date accessioned2017-05-08T20:58:49Z
    date available2017-05-08T20:58:49Z
    date copyrightFebruary 1987
    date issued1987
    identifier other%28asce%290733-9372%281987%29113%3A1%28186%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/34142
    description abstractBox‐Jenkins time series analysis for the monthly water quality data in Chung Kang River was conducted. It was found that the autoregressive models with order one could be used, and forecasting with seasonal data seems to perform well when the Box‐Jenkins technique is combined with nonparametric transformation. Further, the three‐model structure selection criteria used in the analysis has very good consistency in selecting the best model.
    publisherAmerican Society of Civil Engineers
    titleWater Quality Data Analysis in Chung Kang River
    typeJournal Paper
    journal volume113
    journal issue1
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)0733-9372(1987)113:1(186)
    treeJournal of Environmental Engineering:;1987:;Volume ( 113 ):;issue: 001
    contenttypeFulltext
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