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    Establishing a Predictive Model for Chlorophyll-A Concentration in Lake Daechung, Korea Using Multilinear Statistical Techniques

    Source: Journal of Environmental Engineering:;2015:;Volume ( 141 ):;issue: 002
    Author:
    Jaeyun Kim
    ,
    Jinwon Kim
    ,
    Yongdeok Cho
    DOI: 10.1061/(ASCE)EE.1943-7870.0000883
    Publisher: American Society of Civil Engineers
    Abstract: Multilinear statistical techniques were used to establish a predictive model for chlorophyll-a concentration in Daechung reservoir, Korea. By relating water quality, weather data, and various hydrological parameters to the chlorophyll-a concentration, a correlation was able to be established between them.
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      Establishing a Predictive Model for Chlorophyll-A Concentration in Lake Daechung, Korea Using Multilinear Statistical Techniques

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    http://yetl.yabesh.ir/yetl1/handle/yetl/73145
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    • Journal of Environmental Engineering

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    contributor authorJaeyun Kim
    contributor authorJinwon Kim
    contributor authorYongdeok Cho
    date accessioned2017-05-08T22:11:27Z
    date available2017-05-08T22:11:27Z
    date copyrightFebruary 2015
    date issued2015
    identifier other38714066.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/73145
    description abstractMultilinear statistical techniques were used to establish a predictive model for chlorophyll-a concentration in Daechung reservoir, Korea. By relating water quality, weather data, and various hydrological parameters to the chlorophyll-a concentration, a correlation was able to be established between them.
    publisherAmerican Society of Civil Engineers
    titleEstablishing a Predictive Model for Chlorophyll-A Concentration in Lake Daechung, Korea Using Multilinear Statistical Techniques
    typeJournal Paper
    journal volume141
    journal issue2
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)EE.1943-7870.0000883
    treeJournal of Environmental Engineering:;2015:;Volume ( 141 ):;issue: 002
    contenttypeFulltext
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