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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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