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    Information Collection Rule Data Evaluation and Analysis to Support Impacts on Disinfection By-Product Formation

    Source: Journal of Environmental Engineering:;2007:;Volume ( 133 ):;issue: 001
    Author:
    Alexa Obolensky
    ,
    Philip C. Singer
    ,
    Hiba M. Shukairy
    DOI: 10.1061/(ASCE)0733-9372(2007)133:1(53)
    Publisher: American Society of Civil Engineers
    Abstract: Information Collection Rule (ICR) water quality and treatment data were screened from an end-user’s perspective and data distributions were developed based on the screened data set. Questionable data were flagged and missing categorical variables were replaced where possible. Sparseness of flagged data indicated a high level of ICR data quality while recovery of missing descriptors substantially amplified the data set. Data patterns demonstrated anticipated relationships between disinfection practices and water quality: plants with high concentrations of organic precursors preferentially employed chloramines and avoided prechlorination; plants with high bromide levels also tended to employ chloramines although bromide did not impact prechlorination practice. Though plants employing chloramination used significantly higher chlorine doses than plants using only free chlorine, when normalized to total organic carbon (TOC) this difference largely disappeared. The median ICR chlorine to TOC ratio was
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      Information Collection Rule Data Evaluation and Analysis to Support Impacts on Disinfection By-Product Formation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/66575
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    • Journal of Environmental Engineering

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    contributor authorAlexa Obolensky
    contributor authorPhilip C. Singer
    contributor authorHiba M. Shukairy
    date accessioned2017-05-08T21:55:24Z
    date available2017-05-08T21:55:24Z
    date copyrightJanuary 2007
    date issued2007
    identifier other%28asce%290733-9372%282007%29133%3A1%2853%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/66575
    description abstractInformation Collection Rule (ICR) water quality and treatment data were screened from an end-user’s perspective and data distributions were developed based on the screened data set. Questionable data were flagged and missing categorical variables were replaced where possible. Sparseness of flagged data indicated a high level of ICR data quality while recovery of missing descriptors substantially amplified the data set. Data patterns demonstrated anticipated relationships between disinfection practices and water quality: plants with high concentrations of organic precursors preferentially employed chloramines and avoided prechlorination; plants with high bromide levels also tended to employ chloramines although bromide did not impact prechlorination practice. Though plants employing chloramination used significantly higher chlorine doses than plants using only free chlorine, when normalized to total organic carbon (TOC) this difference largely disappeared. The median ICR chlorine to TOC ratio was
    publisherAmerican Society of Civil Engineers
    titleInformation Collection Rule Data Evaluation and Analysis to Support Impacts on Disinfection By-Product Formation
    typeJournal Paper
    journal volume133
    journal issue1
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)0733-9372(2007)133:1(53)
    treeJournal of Environmental Engineering:;2007:;Volume ( 133 ):;issue: 001
    contenttypeFulltext
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