Bayesian model-based approach for developing a river water quality index

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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Main Authors: Mohd Ali, Zalina, Ibrahim, Noor Akma, Mengersen, Kerrie, Shitan, Mahendran, Juahir, Hafizan
Format: Conference or Workshop Item
Language:English
Published: AIP Publishing LLC 2013
Online Access:http://psasir.upm.edu.my/id/eprint/57244/
http://psasir.upm.edu.my/id/eprint/57244/
http://psasir.upm.edu.my/id/eprint/57244/1/Bayesian%20model-based%20approach%20for%20developing%20a%20river%20water%20quality%20index.pdf
id upm-57244
recordtype eprints
spelling upm-572442017-09-26T03:48:40Z http://psasir.upm.edu.my/id/eprint/57244/ Bayesian model-based approach for developing a river water quality index Mohd Ali, Zalina Ibrahim, Noor Akma Mengersen, Kerrie Shitan, Mahendran Juahir, Hafizan 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. AIP Publishing LLC 2013 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/57244/1/Bayesian%20model-based%20approach%20for%20developing%20a%20river%20water%20quality%20index.pdf Mohd Ali, Zalina and Ibrahim, Noor Akma and Mengersen, Kerrie and Shitan, Mahendran and Juahir, Hafizan (2013) Bayesian model-based approach for developing a river water quality index. In: Statistics and Operational Research International Conference (SORIC 2013), 3–5 Dec. 2013, Sarawak, Malaysia. (pp. 45-54). 10.1063/1.4894330
repository_type Digital Repository
institution_category Local University
institution Universiti Putra Malaysia
building UPM Institutional Repository
collection Online Access
language English
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.
format Conference or Workshop Item
author Mohd Ali, Zalina
Ibrahim, Noor Akma
Mengersen, Kerrie
Shitan, Mahendran
Juahir, Hafizan
spellingShingle Mohd Ali, Zalina
Ibrahim, Noor Akma
Mengersen, Kerrie
Shitan, Mahendran
Juahir, Hafizan
Bayesian model-based approach for developing a river water quality index
author_facet Mohd Ali, Zalina
Ibrahim, Noor Akma
Mengersen, Kerrie
Shitan, Mahendran
Juahir, Hafizan
author_sort Mohd Ali, Zalina
title Bayesian model-based approach for developing a river water quality index
title_short Bayesian model-based approach for developing a river water quality index
title_full Bayesian model-based approach for developing a river water quality index
title_fullStr Bayesian model-based approach for developing a river water quality index
title_full_unstemmed Bayesian model-based approach for developing a river water quality index
title_sort bayesian model-based approach for developing a river water quality index
publisher AIP Publishing LLC
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/57244/
http://psasir.upm.edu.my/id/eprint/57244/
http://psasir.upm.edu.my/id/eprint/57244/1/Bayesian%20model-based%20approach%20for%20developing%20a%20river%20water%20quality%20index.pdf
first_indexed 2018-09-07T18:52:28Z
last_indexed 2018-09-07T18:52:28Z
_version_ 1610975909390581760

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