Assessing Inhalation Exposures Associated with Contamination Events in Water Distribution Systems
When a water distribution system (WDS) is contaminated, short-term inhalation exposures to airborne contaminants could occur as the result of domestic water use. The most important domestic sources of such exposures are likely to be showering and the use of aerosol-producing humidifiers, i.e., ultra...
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description | When a water distribution system (WDS) is contaminated, short-term inhalation exposures to airborne contaminants could occur as the result of domestic water use. The most important domestic sources of such exposures are likely to be showering and the use of aerosol-producing humidifiers, i.e., ultrasonic and impeller (cool-mist) units. A framework is presented for assessing the potential effects of short-term, system-wide inhalation exposures that could result from such activities during a contamination event. This framework utilizes available statistical models for showering frequency and duration, available exposure models for showering and humidifier use, and experimental results on both aerosol generation and the volatilization of chemicals during showering. New models for the times when showering occurs are developed using time-use data for the United States. Given a lack of similar models for how humidifiers are used, or the information needed to develop them, an analysis of the sensitivity of results to assumptions concerning humidifier use is presented. The framework is applied using network models for three actual WDSs. Simple models are developed for estimating upper bounds on the potential effects of system-wide inhalation exposures associated with showering and humidifier use. From a system-wide, population perspective, showering could result in significant inhalation doses of volatile chemical contaminants, and humidifier use could result in significant inhalation doses of microbial contaminants during a contamination event. From a system-wide perspective, showering is unlikely to be associated with significant doses of microbial contaminants. Given the potential importance of humidifiers as a source of airborne contaminants during a contamination event, an improved understanding of the nature of humidifier use is warranted. |
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The most important domestic sources of such exposures are likely to be showering and the use of aerosol-producing humidifiers, i.e., ultrasonic and impeller (cool-mist) units. A framework is presented for assessing the potential effects of short-term, system-wide inhalation exposures that could result from such activities during a contamination event. This framework utilizes available statistical models for showering frequency and duration, available exposure models for showering and humidifier use, and experimental results on both aerosol generation and the volatilization of chemicals during showering. New models for the times when showering occurs are developed using time-use data for the United States. Given a lack of similar models for how humidifiers are used, or the information needed to develop them, an analysis of the sensitivity of results to assumptions concerning humidifier use is presented. The framework is applied using network models for three actual WDSs. Simple models are developed for estimating upper bounds on the potential effects of system-wide inhalation exposures associated with showering and humidifier use. From a system-wide, population perspective, showering could result in significant inhalation doses of volatile chemical contaminants, and humidifier use could result in significant inhalation doses of microbial contaminants during a contamination event. From a system-wide perspective, showering is unlikely to be associated with significant doses of microbial contaminants. Given the potential importance of humidifiers as a source of airborne contaminants during a contamination event, an improved understanding of the nature of humidifier use is warranted.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0168051</identifier><identifier>PMID: 27930709</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aerosols ; Aerosols - adverse effects ; Aerosols - analysis ; Air pollution ; Analysis ; Bacillus anthracis ; Biology and Life Sciences ; Chemical contaminants ; Chemical pollution ; Contaminants ; Contamination ; Domestic water ; Drinking water ; Engineering and Technology ; Environmental protection ; ENVIRONMENTAL SCIENCES ; Exposure ; Handbooks ; Humans ; Humidification ; Humidifiers ; Inhalation ; Inhalation Exposure - adverse effects ; Inhalation Exposure - analysis ; Laboratories ; Mathematical models ; Medicine and Health Sciences ; Microbial contamination ; Microorganisms ; Mist ; Pathogens ; Physical Sciences ; Pollutants ; Population (statistical) ; Respiration ; Risk factors ; Sensitivity analysis ; Sensors ; Statistical analysis ; Statistical models ; Studies ; Upper bounds ; Volatilization ; Water distribution ; Water distribution systems ; Water engineering ; Water Microbiology ; Water Pollutants, Chemical - adverse effects ; Water Pollutants, Chemical - analysis ; Water pollution ; Water Supply ; Water use</subject><ispartof>PloS one, 2016-12, Vol.11 (12), p.e0168051-e0168051</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. 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The most important domestic sources of such exposures are likely to be showering and the use of aerosol-producing humidifiers, i.e., ultrasonic and impeller (cool-mist) units. A framework is presented for assessing the potential effects of short-term, system-wide inhalation exposures that could result from such activities during a contamination event. This framework utilizes available statistical models for showering frequency and duration, available exposure models for showering and humidifier use, and experimental results on both aerosol generation and the volatilization of chemicals during showering. New models for the times when showering occurs are developed using time-use data for the United States. Given a lack of similar models for how humidifiers are used, or the information needed to develop them, an analysis of the sensitivity of results to assumptions concerning humidifier use is presented. The framework is applied using network models for three actual WDSs. Simple models are developed for estimating upper bounds on the potential effects of system-wide inhalation exposures associated with showering and humidifier use. From a system-wide, population perspective, showering could result in significant inhalation doses of volatile chemical contaminants, and humidifier use could result in significant inhalation doses of microbial contaminants during a contamination event. From a system-wide perspective, showering is unlikely to be associated with significant doses of microbial contaminants. Given the potential importance of humidifiers as a source of airborne contaminants during a contamination event, an improved understanding of the nature of humidifier use is warranted.</description><subject>Aerosols</subject><subject>Aerosols - adverse effects</subject><subject>Aerosols - analysis</subject><subject>Air pollution</subject><subject>Analysis</subject><subject>Bacillus anthracis</subject><subject>Biology and Life Sciences</subject><subject>Chemical contaminants</subject><subject>Chemical pollution</subject><subject>Contaminants</subject><subject>Contamination</subject><subject>Domestic water</subject><subject>Drinking water</subject><subject>Engineering and Technology</subject><subject>Environmental protection</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Exposure</subject><subject>Handbooks</subject><subject>Humans</subject><subject>Humidification</subject><subject>Humidifiers</subject><subject>Inhalation</subject><subject>Inhalation Exposure - adverse effects</subject><subject>Inhalation Exposure - analysis</subject><subject>Laboratories</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Microbial contamination</subject><subject>Microorganisms</subject><subject>Mist</subject><subject>Pathogens</subject><subject>Physical Sciences</subject><subject>Pollutants</subject><subject>Population (statistical)</subject><subject>Respiration</subject><subject>Risk factors</subject><subject>Sensitivity analysis</subject><subject>Sensors</subject><subject>Statistical analysis</subject><subject>Statistical models</subject><subject>Studies</subject><subject>Upper bounds</subject><subject>Volatilization</subject><subject>Water distribution</subject><subject>Water distribution systems</subject><subject>Water engineering</subject><subject>Water Microbiology</subject><subject>Water Pollutants, Chemical - adverse effects</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>Water pollution</subject><subject>Water Supply</subject><subject>Water use</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYmPwDxBEICG4aPF34hukqgyoNGkS4-PSchyn9ZTaJccZ27_HabOpRbuYfGHL5znv0Xntk2UvMZpiWuCPl6HvvG6nm-DtFGFRIo4fZcdYUjIRBNHHe-ej7BnAJUKclkI8zY5IISkqkDzO9AzAAji_zBd-pVsdXfD56fUmQN9ZyFM4GKejrfO_Lq7yefBRr50fuSvrI-TO578T0uWfHcTOVf02eHED0a7hefak0S3YF-N-kv38cvpj_m1ydv51MZ-dTUzBSZxojkojhWgo5o2shJAVqq0xVUFIaWtBKLW4aZgZDkVVVJJL3YgGEVNJyTg9yV7vdDdtADW6AwqXrGCMSFomYrEj6qAv1aZza93dqKCd2l6Ebql0F51prWpqWVFpSi6sYKzSuiaaCFbrKhlokEhan8ZqfbW2tUk-dLo9ED2MeLdSy3ClOGacMJQE3uwEAkSnwLhozcoE762JClOaGi4S9H6s0oU_vYWo1g6MbVvtbeiH5jhHBSVcPABlRZn-w1b17X_o_W6N1FInQ5xvQurDDKJqxlLNQmAytDG9h0qrtmuX2rGNS_cHCR8OEhIT7XVc6h5ALS6-P5w9_3XIvttjV1a3cQWh3X5FOATZDjRdAOhsc_doGKlhsm7dUMNkqXGyUtqr_Qe_S7odJfoP1J4eJQ</recordid><startdate>20161208</startdate><enddate>20161208</enddate><creator>Davis, Michael J</creator><creator>Janke, Robert</creator><creator>Taxon, Thomas N</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>7TV</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20161208</creationdate><title>Assessing Inhalation Exposures Associated with Contamination Events in Water Distribution Systems</title><author>Davis, Michael J ; Janke, Robert ; Taxon, Thomas N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c752t-a508c966f315f9b669b0deccb7228ed6233e1ff4c233e7b7b959af6f02cb99453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aerosols</topic><topic>Aerosols - adverse effects</topic><topic>Aerosols - analysis</topic><topic>Air pollution</topic><topic>Analysis</topic><topic>Bacillus anthracis</topic><topic>Biology and Life Sciences</topic><topic>Chemical contaminants</topic><topic>Chemical pollution</topic><topic>Contaminants</topic><topic>Contamination</topic><topic>Domestic water</topic><topic>Drinking water</topic><topic>Engineering and Technology</topic><topic>Environmental protection</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>Exposure</topic><topic>Handbooks</topic><topic>Humans</topic><topic>Humidification</topic><topic>Humidifiers</topic><topic>Inhalation</topic><topic>Inhalation Exposure - adverse effects</topic><topic>Inhalation Exposure - analysis</topic><topic>Laboratories</topic><topic>Mathematical models</topic><topic>Medicine and Health Sciences</topic><topic>Microbial contamination</topic><topic>Microorganisms</topic><topic>Mist</topic><topic>Pathogens</topic><topic>Physical Sciences</topic><topic>Pollutants</topic><topic>Population (statistical)</topic><topic>Respiration</topic><topic>Risk factors</topic><topic>Sensitivity analysis</topic><topic>Sensors</topic><topic>Statistical analysis</topic><topic>Statistical models</topic><topic>Studies</topic><topic>Upper bounds</topic><topic>Volatilization</topic><topic>Water distribution</topic><topic>Water distribution systems</topic><topic>Water engineering</topic><topic>Water Microbiology</topic><topic>Water Pollutants, Chemical - 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The most important domestic sources of such exposures are likely to be showering and the use of aerosol-producing humidifiers, i.e., ultrasonic and impeller (cool-mist) units. A framework is presented for assessing the potential effects of short-term, system-wide inhalation exposures that could result from such activities during a contamination event. This framework utilizes available statistical models for showering frequency and duration, available exposure models for showering and humidifier use, and experimental results on both aerosol generation and the volatilization of chemicals during showering. New models for the times when showering occurs are developed using time-use data for the United States. Given a lack of similar models for how humidifiers are used, or the information needed to develop them, an analysis of the sensitivity of results to assumptions concerning humidifier use is presented. The framework is applied using network models for three actual WDSs. Simple models are developed for estimating upper bounds on the potential effects of system-wide inhalation exposures associated with showering and humidifier use. From a system-wide, population perspective, showering could result in significant inhalation doses of volatile chemical contaminants, and humidifier use could result in significant inhalation doses of microbial contaminants during a contamination event. From a system-wide perspective, showering is unlikely to be associated with significant doses of microbial contaminants. Given the potential importance of humidifiers as a source of airborne contaminants during a contamination event, an improved understanding of the nature of humidifier use is warranted.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27930709</pmid><doi>10.1371/journal.pone.0168051</doi><tpages>e0168051</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aerosols Aerosols - adverse effects Aerosols - analysis Air pollution Analysis Bacillus anthracis Biology and Life Sciences Chemical contaminants Chemical pollution Contaminants Contamination Domestic water Drinking water Engineering and Technology Environmental protection ENVIRONMENTAL SCIENCES Exposure Handbooks Humans Humidification Humidifiers Inhalation Inhalation Exposure - adverse effects Inhalation Exposure - analysis Laboratories Mathematical models Medicine and Health Sciences Microbial contamination Microorganisms Mist Pathogens Physical Sciences Pollutants Population (statistical) Respiration Risk factors Sensitivity analysis Sensors Statistical analysis Statistical models Studies Upper bounds Volatilization Water distribution Water distribution systems Water engineering Water Microbiology Water Pollutants, Chemical - adverse effects Water Pollutants, Chemical - analysis Water pollution Water Supply Water use |
title | Assessing Inhalation Exposures Associated with Contamination Events in Water Distribution Systems |
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