Determination of trihalomethanes levels in a selected area of Amman’s drinking water distribution system: case study
Water quality model is a helpful management tool for water distribution system. Estimation of growth coefficients is an important and challenging component of water quality modeling. Reactions occurring in the bulk flow for both trihalomethanes (THMs) formation and chlorine decay kinetics in Zai dri...
Gespeichert in:
Veröffentlicht in: | Desalination and water treatment 2015-04, Vol.54 (3), p.642-653 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 653 |
---|---|
container_issue | 3 |
container_start_page | 642 |
container_title | Desalination and water treatment |
container_volume | 54 |
creator | Saidan, Motasem Rawajfeh, Khaled Fayyad, Manar |
description | Water quality model is a helpful management tool for water distribution system. Estimation of growth coefficients is an important and challenging component of water quality modeling. Reactions occurring in the bulk flow for both trihalomethanes (THMs) formation and chlorine decay kinetics in Zai drinking water have been studied. It was found that both THMs and chlorine kinetics follow first-order reactions for growth and decay, respectively. A numerical model for predicting THMs formation in drinking water distribution system networks has been developed and applied. THMs measurements were taken at three locations over 106 h from a northern portion of Sport City area (Kharabshe Reservoir), while the water quality time step is set to 3 min, to insure predicting accurate total trihalomethanes (TTHMs) concentrations. The bulk flow for TTHMs formation rate constant value is determined and set to 5.82 × 10−2/h. The modeled results for THMs formation in the field network were compared favorably with the observed data for three sampling points in the network. The THMs formed inside the selected network of this case study was sixfolds higher than that formed in Zai treatment plant; and 113% higher than that formed in Kharabshe Reservoir. The model proved to be an effective tool for prediction of THMs formation in drinking water distribution systems. |
doi_str_mv | 10.1080/19443994.2014.892439 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1762098900</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1944398624064634</els_id><sourcerecordid>1727676932</sourcerecordid><originalsourceid>FETCH-LOGICAL-c470t-8456ee8ca1ab17bf79b73086ece055a5d44b759c4f69408b06048064c608ff073</originalsourceid><addsrcrecordid>eNqNkc9u1DAQh6MKJKq2b8DBEpdedhknjv9wQKpKS5Eq9QJny3EmrUviFI-z1d54DV6PJ6mXBQn1gPDFHuubT5r5VdVrDmsOGt5yI0RjjFjXwMVam7pUB9Xh7nvVGC1f_PV-VZ0Q3UM5rVCtqA-rzQfMmKYQXQ5zZPPAcgp3bpwnzHcuIrERNzgSC5E5Rjiiz9gzl9Dt4LNpcvHn9x_E-hTi1xBv2aMrQtYHKqJu-WWlLWWc3jHvCBnlpd8eVy8HNxKe_L6Pqi-XF5_Pr1bXNx8_nZ9dr7xQkFdatBJRe8ddx1U3KNOpBrREj9C2ru2F6FRrvBikEaA7kCA0SOEl6GEA1RxVp3vvQ5q_LUjZToE8jmMZbV7IciVrMNoA_AdaK6mkaeqCvnmG3s9LimUQy6VumlbXoAsl9pRPM1HCwT6kMLm0tRzsLjr7Jzq7i87uoytt7_dtZeu4CZgs-YDRYx9SWb7t5_BvwROHX6A3</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1683358208</pqid></control><display><type>article</type><title>Determination of trihalomethanes levels in a selected area of Amman’s drinking water distribution system: case study</title><source>Alma/SFX Local Collection</source><creator>Saidan, Motasem ; Rawajfeh, Khaled ; Fayyad, Manar</creator><creatorcontrib>Saidan, Motasem ; Rawajfeh, Khaled ; Fayyad, Manar</creatorcontrib><description>Water quality model is a helpful management tool for water distribution system. Estimation of growth coefficients is an important and challenging component of water quality modeling. Reactions occurring in the bulk flow for both trihalomethanes (THMs) formation and chlorine decay kinetics in Zai drinking water have been studied. It was found that both THMs and chlorine kinetics follow first-order reactions for growth and decay, respectively. A numerical model for predicting THMs formation in drinking water distribution system networks has been developed and applied. THMs measurements were taken at three locations over 106 h from a northern portion of Sport City area (Kharabshe Reservoir), while the water quality time step is set to 3 min, to insure predicting accurate total trihalomethanes (TTHMs) concentrations. The bulk flow for TTHMs formation rate constant value is determined and set to 5.82 × 10−2/h. The modeled results for THMs formation in the field network were compared favorably with the observed data for three sampling points in the network. The THMs formed inside the selected network of this case study was sixfolds higher than that formed in Zai treatment plant; and 113% higher than that formed in Kharabshe Reservoir. The model proved to be an effective tool for prediction of THMs formation in drinking water distribution systems.</description><identifier>ISSN: 1944-3986</identifier><identifier>ISSN: 1944-3994</identifier><identifier>EISSN: 1944-3986</identifier><identifier>DOI: 10.1080/19443994.2014.892439</identifier><language>eng</language><publisher>Abingdon: Elsevier Inc</publisher><subject>Case studies ; Chlorination ; Chlorine ; Chlorine decay kinetics ; Decay ; Drinking water ; Drinking water distribution system ; Formations ; Kinetics ; Mathematical models ; Networks ; Reservoirs ; THMs formation kinetics ; Trihalomethanes ; Water distribution ; Water distribution systems ; Water quality ; Water quality model</subject><ispartof>Desalination and water treatment, 2015-04, Vol.54 (3), p.642-653</ispartof><rights>2014 Elsevier Inc.</rights><rights>2014 Balaban Desalination Publications. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-8456ee8ca1ab17bf79b73086ece055a5d44b759c4f69408b06048064c608ff073</citedby><cites>FETCH-LOGICAL-c470t-8456ee8ca1ab17bf79b73086ece055a5d44b759c4f69408b06048064c608ff073</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Saidan, Motasem</creatorcontrib><creatorcontrib>Rawajfeh, Khaled</creatorcontrib><creatorcontrib>Fayyad, Manar</creatorcontrib><title>Determination of trihalomethanes levels in a selected area of Amman’s drinking water distribution system: case study</title><title>Desalination and water treatment</title><description>Water quality model is a helpful management tool for water distribution system. Estimation of growth coefficients is an important and challenging component of water quality modeling. Reactions occurring in the bulk flow for both trihalomethanes (THMs) formation and chlorine decay kinetics in Zai drinking water have been studied. It was found that both THMs and chlorine kinetics follow first-order reactions for growth and decay, respectively. A numerical model for predicting THMs formation in drinking water distribution system networks has been developed and applied. THMs measurements were taken at three locations over 106 h from a northern portion of Sport City area (Kharabshe Reservoir), while the water quality time step is set to 3 min, to insure predicting accurate total trihalomethanes (TTHMs) concentrations. The bulk flow for TTHMs formation rate constant value is determined and set to 5.82 × 10−2/h. The modeled results for THMs formation in the field network were compared favorably with the observed data for three sampling points in the network. The THMs formed inside the selected network of this case study was sixfolds higher than that formed in Zai treatment plant; and 113% higher than that formed in Kharabshe Reservoir. The model proved to be an effective tool for prediction of THMs formation in drinking water distribution systems.</description><subject>Case studies</subject><subject>Chlorination</subject><subject>Chlorine</subject><subject>Chlorine decay kinetics</subject><subject>Decay</subject><subject>Drinking water</subject><subject>Drinking water distribution system</subject><subject>Formations</subject><subject>Kinetics</subject><subject>Mathematical models</subject><subject>Networks</subject><subject>Reservoirs</subject><subject>THMs formation kinetics</subject><subject>Trihalomethanes</subject><subject>Water distribution</subject><subject>Water distribution systems</subject><subject>Water quality</subject><subject>Water quality model</subject><issn>1944-3986</issn><issn>1944-3994</issn><issn>1944-3986</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqNkc9u1DAQh6MKJKq2b8DBEpdedhknjv9wQKpKS5Eq9QJny3EmrUviFI-z1d54DV6PJ6mXBQn1gPDFHuubT5r5VdVrDmsOGt5yI0RjjFjXwMVam7pUB9Xh7nvVGC1f_PV-VZ0Q3UM5rVCtqA-rzQfMmKYQXQ5zZPPAcgp3bpwnzHcuIrERNzgSC5E5Rjiiz9gzl9Dt4LNpcvHn9x_E-hTi1xBv2aMrQtYHKqJu-WWlLWWc3jHvCBnlpd8eVy8HNxKe_L6Pqi-XF5_Pr1bXNx8_nZ9dr7xQkFdatBJRe8ddx1U3KNOpBrREj9C2ru2F6FRrvBikEaA7kCA0SOEl6GEA1RxVp3vvQ5q_LUjZToE8jmMZbV7IciVrMNoA_AdaK6mkaeqCvnmG3s9LimUQy6VumlbXoAsl9pRPM1HCwT6kMLm0tRzsLjr7Jzq7i87uoytt7_dtZeu4CZgs-YDRYx9SWb7t5_BvwROHX6A3</recordid><startdate>20150417</startdate><enddate>20150417</enddate><creator>Saidan, Motasem</creator><creator>Rawajfeh, Khaled</creator><creator>Fayyad, Manar</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>H97</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7TV</scope><scope>7U5</scope><scope>L7M</scope></search><sort><creationdate>20150417</creationdate><title>Determination of trihalomethanes levels in a selected area of Amman’s drinking water distribution system: case study</title><author>Saidan, Motasem ; Rawajfeh, Khaled ; Fayyad, Manar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-8456ee8ca1ab17bf79b73086ece055a5d44b759c4f69408b06048064c608ff073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Case studies</topic><topic>Chlorination</topic><topic>Chlorine</topic><topic>Chlorine decay kinetics</topic><topic>Decay</topic><topic>Drinking water</topic><topic>Drinking water distribution system</topic><topic>Formations</topic><topic>Kinetics</topic><topic>Mathematical models</topic><topic>Networks</topic><topic>Reservoirs</topic><topic>THMs formation kinetics</topic><topic>Trihalomethanes</topic><topic>Water distribution</topic><topic>Water distribution systems</topic><topic>Water quality</topic><topic>Water quality model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Saidan, Motasem</creatorcontrib><creatorcontrib>Rawajfeh, Khaled</creatorcontrib><creatorcontrib>Fayyad, Manar</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Desalination and water treatment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saidan, Motasem</au><au>Rawajfeh, Khaled</au><au>Fayyad, Manar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determination of trihalomethanes levels in a selected area of Amman’s drinking water distribution system: case study</atitle><jtitle>Desalination and water treatment</jtitle><date>2015-04-17</date><risdate>2015</risdate><volume>54</volume><issue>3</issue><spage>642</spage><epage>653</epage><pages>642-653</pages><issn>1944-3986</issn><issn>1944-3994</issn><eissn>1944-3986</eissn><abstract>Water quality model is a helpful management tool for water distribution system. Estimation of growth coefficients is an important and challenging component of water quality modeling. Reactions occurring in the bulk flow for both trihalomethanes (THMs) formation and chlorine decay kinetics in Zai drinking water have been studied. It was found that both THMs and chlorine kinetics follow first-order reactions for growth and decay, respectively. A numerical model for predicting THMs formation in drinking water distribution system networks has been developed and applied. THMs measurements were taken at three locations over 106 h from a northern portion of Sport City area (Kharabshe Reservoir), while the water quality time step is set to 3 min, to insure predicting accurate total trihalomethanes (TTHMs) concentrations. The bulk flow for TTHMs formation rate constant value is determined and set to 5.82 × 10−2/h. The modeled results for THMs formation in the field network were compared favorably with the observed data for three sampling points in the network. The THMs formed inside the selected network of this case study was sixfolds higher than that formed in Zai treatment plant; and 113% higher than that formed in Kharabshe Reservoir. The model proved to be an effective tool for prediction of THMs formation in drinking water distribution systems.</abstract><cop>Abingdon</cop><pub>Elsevier Inc</pub><doi>10.1080/19443994.2014.892439</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1944-3986 |
ispartof | Desalination and water treatment, 2015-04, Vol.54 (3), p.642-653 |
issn | 1944-3986 1944-3994 1944-3986 |
language | eng |
recordid | cdi_proquest_miscellaneous_1762098900 |
source | Alma/SFX Local Collection |
subjects | Case studies Chlorination Chlorine Chlorine decay kinetics Decay Drinking water Drinking water distribution system Formations Kinetics Mathematical models Networks Reservoirs THMs formation kinetics Trihalomethanes Water distribution Water distribution systems Water quality Water quality model |
title | Determination of trihalomethanes levels in a selected area of Amman’s drinking water distribution system: case study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T00%3A52%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Determination%20of%20trihalomethanes%20levels%20in%20a%20selected%20area%20of%20Amman%E2%80%99s%20drinking%20water%20distribution%20system:%20case%20study&rft.jtitle=Desalination%20and%20water%20treatment&rft.au=Saidan,%20Motasem&rft.date=2015-04-17&rft.volume=54&rft.issue=3&rft.spage=642&rft.epage=653&rft.pages=642-653&rft.issn=1944-3986&rft.eissn=1944-3986&rft_id=info:doi/10.1080/19443994.2014.892439&rft_dat=%3Cproquest_cross%3E1727676932%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1683358208&rft_id=info:pmid/&rft_els_id=S1944398624064634&rfr_iscdi=true |