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Development of two-dimensional water quality management model using the reliability analysis method
A two-dimensional water quality management model, the unsteady/uncertainty water quality model (UUWQM), is developed for three kinds of analysis: hydrodynamic and advection–diffusion analyses by using the Petrov–Galerkin finite element method, and a reliability analysis by using uncertainty techniqu...
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Published in: | Journal of hydroinformatics 2012-01, Vol.14 (2), p.412-423 |
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container_title | Journal of hydroinformatics |
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creator | Kim, Sang-Ho Han, Kun-Yeun Kim, Ji-Sung Noh, Joonwoo |
description | A two-dimensional water quality management model, the unsteady/uncertainty water quality model (UUWQM), is developed for three kinds of analysis: hydrodynamic and advection–diffusion analyses by using the Petrov–Galerkin finite element method, and a reliability analysis by using uncertainty techniques. This model is then applied to a 35 km reach of the Nakdong River in Korea. Two-dimensional hydrodynamic and deterministic water quality analyses were performed in this reach. The Monte Carlo simulation (MCS) method was used to decide and verify 14 key input parameters among 80 total input parameters. These key input parameters were incorporated to compute exceedance probabilities and frequency distributions using the mean first-order second-moment (MFOSM) and MCS methods at several locations along this reach of the Nakdong River. From the results of the probable risk for water quality standard, it shows that the outputs from the MFOSM method were similar to those from the MCS method. In practical usage, the MFOSM method is more attractive in terms of its computational simplicity and shorter execution time. Therefore, the UUWQM can be applied efficiently and accurately to estimate the water quality distribution and the risk assessment for the specified water quality in any river. |
doi_str_mv | 10.2166/hydro.2011.126 |
format | article |
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This model is then applied to a 35 km reach of the Nakdong River in Korea. Two-dimensional hydrodynamic and deterministic water quality analyses were performed in this reach. The Monte Carlo simulation (MCS) method was used to decide and verify 14 key input parameters among 80 total input parameters. These key input parameters were incorporated to compute exceedance probabilities and frequency distributions using the mean first-order second-moment (MFOSM) and MCS methods at several locations along this reach of the Nakdong River. From the results of the probable risk for water quality standard, it shows that the outputs from the MFOSM method were similar to those from the MCS method. In practical usage, the MFOSM method is more attractive in terms of its computational simplicity and shorter execution time. Therefore, the UUWQM can be applied efficiently and accurately to estimate the water quality distribution and the risk assessment for the specified water quality in any river.</description><identifier>ISSN: 1464-7141</identifier><identifier>EISSN: 1465-1734</identifier><identifier>DOI: 10.2166/hydro.2011.126</identifier><language>eng</language><publisher>London: IWA Publishing</publisher><subject>Advection ; Analysis ; Computer applications ; Computer simulation ; Dye dispersion ; Finite element method ; Galerkin method ; Hydrodynamics ; Mathematical models ; Monte Carlo simulation ; Parameters ; Quality management ; Reliability ; Reliability analysis ; Risk assessment ; Rivers ; Statistical methods ; Two dimensional analysis ; Two dimensional models ; Uncertainty ; Uncertainty analysis ; Water quality ; Water quality management ; Water quality standards</subject><ispartof>Journal of hydroinformatics, 2012-01, Vol.14 (2), p.412-423</ispartof><rights>Copyright IWA Publishing Apr 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Kim, Sang-Ho</creatorcontrib><creatorcontrib>Han, Kun-Yeun</creatorcontrib><creatorcontrib>Kim, Ji-Sung</creatorcontrib><creatorcontrib>Noh, Joonwoo</creatorcontrib><title>Development of two-dimensional water quality management model using the reliability analysis method</title><title>Journal of hydroinformatics</title><description>A two-dimensional water quality management model, the unsteady/uncertainty water quality model (UUWQM), is developed for three kinds of analysis: hydrodynamic and advection–diffusion analyses by using the Petrov–Galerkin finite element method, and a reliability analysis by using uncertainty techniques. This model is then applied to a 35 km reach of the Nakdong River in Korea. Two-dimensional hydrodynamic and deterministic water quality analyses were performed in this reach. The Monte Carlo simulation (MCS) method was used to decide and verify 14 key input parameters among 80 total input parameters. These key input parameters were incorporated to compute exceedance probabilities and frequency distributions using the mean first-order second-moment (MFOSM) and MCS methods at several locations along this reach of the Nakdong River. From the results of the probable risk for water quality standard, it shows that the outputs from the MFOSM method were similar to those from the MCS method. In practical usage, the MFOSM method is more attractive in terms of its computational simplicity and shorter execution time. Therefore, the UUWQM can be applied efficiently and accurately to estimate the water quality distribution and the risk assessment for the specified water quality in any river.</description><subject>Advection</subject><subject>Analysis</subject><subject>Computer applications</subject><subject>Computer simulation</subject><subject>Dye dispersion</subject><subject>Finite element method</subject><subject>Galerkin method</subject><subject>Hydrodynamics</subject><subject>Mathematical models</subject><subject>Monte Carlo simulation</subject><subject>Parameters</subject><subject>Quality management</subject><subject>Reliability</subject><subject>Reliability analysis</subject><subject>Risk assessment</subject><subject>Rivers</subject><subject>Statistical methods</subject><subject>Two dimensional analysis</subject><subject>Two dimensional models</subject><subject>Uncertainty</subject><subject>Uncertainty analysis</subject><subject>Water quality</subject><subject>Water quality management</subject><subject>Water quality standards</subject><issn>1464-7141</issn><issn>1465-1734</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNpd0D1PwzAQBuAIgUQprMyWWFgSfLHjJCMqn1IlFpgjx7m0rpy4tRNQ_j1uysR0d9KjV6c3im6BJikI8bCdGmeTlAIkkIqzaAFcZDHkjJ_PO49z4HAZXXm_ozQFVsAiUk_4jcbuO-wHYlsy_Ni40eHy2vbSkB85oCOHURo9TKSTvdzgbDvboCGj1_2GDFskDo2WtZ5ZUGby2pMOh61trqOLVhqPN39zGX29PH-u3uL1x-v76nEdq7TMhrhVmDFW53UpUloUeVNjS0WTlVlT0FaAyhgUWIhM8lxQoRQElDOhSkF5mVG2jO5PuXtnDyP6oeq0V2iM7NGOvgIacjmIvAz07h_d2dGFt4MqOQNaspQFlZyUctZ7h221d7qTbgpR1bHzau68OnZehc7ZL43ydeQ</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Kim, Sang-Ho</creator><creator>Han, Kun-Yeun</creator><creator>Kim, Ji-Sung</creator><creator>Noh, Joonwoo</creator><general>IWA Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>7ST</scope><scope>7TG</scope><scope>7TV</scope><scope>7U1</scope><scope>7U2</scope><scope>H97</scope><scope>KL.</scope><scope>SOI</scope></search><sort><creationdate>20120101</creationdate><title>Development of two-dimensional water quality management model using the reliability analysis method</title><author>Kim, Sang-Ho ; Han, Kun-Yeun ; Kim, Ji-Sung ; Noh, Joonwoo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-fce533b7b9620887dbef06d595d80f61c5318e865a47606cc1887736c96049503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Advection</topic><topic>Analysis</topic><topic>Computer applications</topic><topic>Computer simulation</topic><topic>Dye dispersion</topic><topic>Finite element method</topic><topic>Galerkin method</topic><topic>Hydrodynamics</topic><topic>Mathematical models</topic><topic>Monte Carlo simulation</topic><topic>Parameters</topic><topic>Quality management</topic><topic>Reliability</topic><topic>Reliability analysis</topic><topic>Risk assessment</topic><topic>Rivers</topic><topic>Statistical methods</topic><topic>Two dimensional analysis</topic><topic>Two dimensional models</topic><topic>Uncertainty</topic><topic>Uncertainty analysis</topic><topic>Water quality</topic><topic>Water quality management</topic><topic>Water quality standards</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Sang-Ho</creatorcontrib><creatorcontrib>Han, Kun-Yeun</creatorcontrib><creatorcontrib>Kim, Ji-Sung</creatorcontrib><creatorcontrib>Noh, Joonwoo</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Environment Abstracts</collection><jtitle>Journal of hydroinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Sang-Ho</au><au>Han, Kun-Yeun</au><au>Kim, Ji-Sung</au><au>Noh, Joonwoo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of two-dimensional water quality management model using the reliability analysis method</atitle><jtitle>Journal of hydroinformatics</jtitle><date>2012-01-01</date><risdate>2012</risdate><volume>14</volume><issue>2</issue><spage>412</spage><epage>423</epage><pages>412-423</pages><issn>1464-7141</issn><eissn>1465-1734</eissn><abstract>A two-dimensional water quality management model, the unsteady/uncertainty water quality model (UUWQM), is developed for three kinds of analysis: hydrodynamic and advection–diffusion analyses by using the Petrov–Galerkin finite element method, and a reliability analysis by using uncertainty techniques. This model is then applied to a 35 km reach of the Nakdong River in Korea. Two-dimensional hydrodynamic and deterministic water quality analyses were performed in this reach. The Monte Carlo simulation (MCS) method was used to decide and verify 14 key input parameters among 80 total input parameters. These key input parameters were incorporated to compute exceedance probabilities and frequency distributions using the mean first-order second-moment (MFOSM) and MCS methods at several locations along this reach of the Nakdong River. From the results of the probable risk for water quality standard, it shows that the outputs from the MFOSM method were similar to those from the MCS method. In practical usage, the MFOSM method is more attractive in terms of its computational simplicity and shorter execution time. Therefore, the UUWQM can be applied efficiently and accurately to estimate the water quality distribution and the risk assessment for the specified water quality in any river.</abstract><cop>London</cop><pub>IWA Publishing</pub><doi>10.2166/hydro.2011.126</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Advection Analysis Computer applications Computer simulation Dye dispersion Finite element method Galerkin method Hydrodynamics Mathematical models Monte Carlo simulation Parameters Quality management Reliability Reliability analysis Risk assessment Rivers Statistical methods Two dimensional analysis Two dimensional models Uncertainty Uncertainty analysis Water quality Water quality management Water quality standards |
title | Development of two-dimensional water quality management model using the reliability analysis method |
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