Bayesian model-based approach for developing a river water quality index
Six main pollutants have been previously identified by expert opinion to determine river condition in Malaysia. The pollutants were Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Suspended Solid (SS), potential of Hydrogen (pH) and Ammonia (AN). The selected va...
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| creator | Ali, Zalina Mohd Ibrahim, Noor Akma Mengersen Kerrie Mahendran, Shitan Hafizan, Juahir |
| description | Six main pollutants have been previously identified by expert opinion to determine river condition in Malaysia. The pollutants were Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Suspended Solid (SS), potential of Hydrogen (pH) and Ammonia (AN). The selected variables together with the respective weights have been applied to calculate the water quality index of all rivers in Malaysia. However, the relative weights established in DOE-WQI formula are subjective in nature and not unanimously agreed upon, as indicated by different weight being proposed for the same variables by various panels of experts. Focusing on the Langat River, a Bayesian model-based approach was introduced for the first time in this study to obtain new objective relative weights. The new weights used in WQI calculation are shown to be capable of capturing similar distributions in water quality compared with the existing DOE-WQI. |
| doi_str_mv | 10.1063/1.4894330 |
| format | Conference Proceeding |
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The pollutants were Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Suspended Solid (SS), potential of Hydrogen (pH) and Ammonia (AN). The selected variables together with the respective weights have been applied to calculate the water quality index of all rivers in Malaysia. However, the relative weights established in DOE-WQI formula are subjective in nature and not unanimously agreed upon, as indicated by different weight being proposed for the same variables by various panels of experts. Focusing on the Langat River, a Bayesian model-based approach was introduced for the first time in this study to obtain new objective relative weights. The new weights used in WQI calculation are shown to be capable of capturing similar distributions in water quality compared with the existing DOE-WQI.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/1.4894330</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Ammonia ; Bayesian analysis ; Biochemical oxygen demand ; Chemical oxygen demand ; Mathematical models ; Organic chemistry ; Pollutants ; Rivers ; Solid suspensions ; Water quality ; Weight</subject><ispartof>AIP conference proceedings, 2014, Vol.1613 (1), p.54</ispartof><rights>2014 AIP Publishing LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c223t-b12452e2c1a865f4107f160f38ac303a4f83cfc530496e7a9397c0332baf16f43</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,776,780,785,786,23909,23910,25118,27902</link.rule.ids></links><search><creatorcontrib>Ali, Zalina Mohd</creatorcontrib><creatorcontrib>Ibrahim, Noor Akma</creatorcontrib><creatorcontrib>Mengersen Kerrie</creatorcontrib><creatorcontrib>Mahendran, Shitan</creatorcontrib><creatorcontrib>Hafizan, Juahir</creatorcontrib><title>Bayesian model-based approach for developing a river water quality index</title><title>AIP conference proceedings</title><description>Six main pollutants have been previously identified by expert opinion to determine river condition in Malaysia. The pollutants were Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Suspended Solid (SS), potential of Hydrogen (pH) and Ammonia (AN). The selected variables together with the respective weights have been applied to calculate the water quality index of all rivers in Malaysia. However, the relative weights established in DOE-WQI formula are subjective in nature and not unanimously agreed upon, as indicated by different weight being proposed for the same variables by various panels of experts. Focusing on the Langat River, a Bayesian model-based approach was introduced for the first time in this study to obtain new objective relative weights. The new weights used in WQI calculation are shown to be capable of capturing similar distributions in water quality compared with the existing DOE-WQI.</description><subject>Ammonia</subject><subject>Bayesian analysis</subject><subject>Biochemical oxygen demand</subject><subject>Chemical oxygen demand</subject><subject>Mathematical models</subject><subject>Organic chemistry</subject><subject>Pollutants</subject><subject>Rivers</subject><subject>Solid suspensions</subject><subject>Water quality</subject><subject>Weight</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2014</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNotj0FLxDAUhIMoWFcP_oOA56wveUnaHHVRV1jwouBteU0T7VLbbtOu7r-3oJeZy_DNDGPXEpYSLN7KpS6cRoQTlkljpMittKcsA3BaKI3v5-wipR2AcnleZGx9T8eQamr5V1eFRpSUQsWp74eO_CeP3cCrcAhN19ftByc-1Icw8G8aZ91P1NTjkddtFX4u2VmkJoWrf1-wt8eH19VabF6enld3G-GVwlGUUmmjgvKSCmuilpBHaSFiQR4BSccCffQGQTsbcnLocg-IqqQ5FzUu2M0fd164n0Iat7tuGtq5cqukssY4M9_8BRAFTC4</recordid><startdate>20140912</startdate><enddate>20140912</enddate><creator>Ali, Zalina Mohd</creator><creator>Ibrahim, Noor Akma</creator><creator>Mengersen Kerrie</creator><creator>Mahendran, Shitan</creator><creator>Hafizan, Juahir</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20140912</creationdate><title>Bayesian model-based approach for developing a river water quality index</title><author>Ali, Zalina Mohd ; Ibrahim, Noor Akma ; Mengersen Kerrie ; Mahendran, Shitan ; Hafizan, Juahir</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c223t-b12452e2c1a865f4107f160f38ac303a4f83cfc530496e7a9397c0332baf16f43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Ammonia</topic><topic>Bayesian analysis</topic><topic>Biochemical oxygen demand</topic><topic>Chemical oxygen demand</topic><topic>Mathematical models</topic><topic>Organic chemistry</topic><topic>Pollutants</topic><topic>Rivers</topic><topic>Solid suspensions</topic><topic>Water quality</topic><topic>Weight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ali, Zalina Mohd</creatorcontrib><creatorcontrib>Ibrahim, Noor Akma</creatorcontrib><creatorcontrib>Mengersen Kerrie</creatorcontrib><creatorcontrib>Mahendran, Shitan</creatorcontrib><creatorcontrib>Hafizan, Juahir</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ali, Zalina Mohd</au><au>Ibrahim, Noor Akma</au><au>Mengersen Kerrie</au><au>Mahendran, Shitan</au><au>Hafizan, Juahir</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Bayesian model-based approach for developing a river water quality index</atitle><btitle>AIP conference proceedings</btitle><date>2014-09-12</date><risdate>2014</risdate><volume>1613</volume><issue>1</issue><epage>54</epage><issn>0094-243X</issn><eissn>1551-7616</eissn><abstract>Six main pollutants have been previously identified by expert opinion to determine river condition in Malaysia. The pollutants were Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Suspended Solid (SS), potential of Hydrogen (pH) and Ammonia (AN). The selected variables together with the respective weights have been applied to calculate the water quality index of all rivers in Malaysia. However, the relative weights established in DOE-WQI formula are subjective in nature and not unanimously agreed upon, as indicated by different weight being proposed for the same variables by various panels of experts. Focusing on the Langat River, a Bayesian model-based approach was introduced for the first time in this study to obtain new objective relative weights. The new weights used in WQI calculation are shown to be capable of capturing similar distributions in water quality compared with the existing DOE-WQI.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/1.4894330</doi></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2014, Vol.1613 (1), p.54 |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_proquest_journals_2126559524 |
| source | AIP Journals Complete |
| subjects | Ammonia Bayesian analysis Biochemical oxygen demand Chemical oxygen demand Mathematical models Organic chemistry Pollutants Rivers Solid suspensions Water quality Weight |
| title | Bayesian model-based approach for developing a river water quality index |
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