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Record W2058046739 · doi:10.2166/aqua.2008.027

Loss of chlorine, chloramine or chlorine dioxide concentration following exposure to UV light

2008· article· en· W2058046739 on OpenAlexafffundabout
Jennie L. Rand, Graham A. Gagnon

Bibliographic record

VenueJournal of Water Supply Research and Technology—AQUA · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Treatment and Disinfection
Canadian institutionsDalhousie UniversityAcadia University
FundersCanadian Water Network
KeywordsCitationIconChlorine dioxideLibrary scienceComputer scienceChemistryWorld Wide WebInorganic chemistry

Abstract

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Research Article| March 01 2008 Loss of chlorine, chloramine or chlorine dioxide concentration following exposure to UV light Jennie L. Rand; Jennie L. Rand 1Ivan Curry School of Engineering, Acadia University, Wolfville, NS, B4P 2R6, Canada Search for other works by this author on: This Site PubMed Google Scholar Graham A. Gagnon Graham A. Gagnon 2Department of Civil & Resource Engineering, Dalhousie University, Halifax, NS, B3J 1Z1, Canada E-mail: graham.gagnon@dal.ca Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2008) 57 (2): 127–132. https://doi.org/10.2166/aqua.2008.027 Article history Received: April 17 2007 Accepted: June 07 2007 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation Jennie L. Rand, Graham A. Gagnon; Loss of chlorine, chloramine or chlorine dioxide concentration following exposure to UV light. Journal of Water Supply: Research and Technology-Aqua 1 March 2008; 57 (2): 127–132. doi: https://doi.org/10.2166/aqua.2008.027 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex In a field study conducted previously in Pinellas County, Florida, implementing UV treatment following chemical disinfection hindered control of HPC bacteria and resulted in higher counts in most samples. It was believed that free chlorine and monochloramine were either decaying in the presence of UV light or that they were absorbing UV irradiation. These occurrences would both lead to a decrease in available disinfection and in turn lead to increased bacteria counts. A bench-scale study was conducted to further investigate interactions between UV light and chemical residuals in drinking water. Three separate water sources (surface water, blended water and deionized water) were treated with chlorine, monochloramine or chlorine dioxide at different concentrations, then exposed to low-pressure UV light. It was confirmed that chemical disinfectants decay when samples are exposed to UV light. Specifically, for deionized water free chlorine was lowered to approximately 95% of initial concentration following UV treatment. In contrast, free chlorine was decreased to 89% and 84%, on average, in the tested groundwater and surface water, respectively. A similar range in decreased disinfectant concentration was also observed for chlorine dioxide and chloramines. However, no significant absorption of UV irradiation by chemical disinfectants was observed. These results provide greater insight into the confounding effects between chlorine-based disinfectants and UV light, which may be important for utilities or institutions that are considering UV treatment of previously disinfected water. chloramines, chlorine, chlorine dioxide, disinfection, UV disinfection This content is only available as a PDF. © IWA Publishing 2008 You do not currently have access to this content.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.275
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2008
Admission routes3
Has abstractyes

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