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

Zalina Mohd Ali, Noor Akma Ibrahim, Kerrie Mengersen, Mahendran Shitan, Hafizan Juahir

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationStatistics and Operational Research International Conference, SORIC 2013
PublisherAmerican Institute of Physics Inc.
Pages45-54
Number of pages10
Volume1613
ISBN (Electronic)9780735412491
DOIs
Publication statusPublished - 1 Jan 2014
EventStatistics and Operational Research International Conference, SORIC 2013 - Sarawak, Malaysia
Duration: 3 Dec 20135 Dec 2013

Other

OtherStatistics and Operational Research International Conference, SORIC 2013
CountryMalaysia
CitySarawak
Period3/12/135/12/13

Fingerprint

water quality
rivers
Malaysia
contaminants
biochemical oxygen demand
oxygen
ammonia
hydrogen

Keywords

  • Bayesian Analysis
  • Bayesian Model-Based Approach
  • Langat River
  • Water Quality

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Mohd Ali, Z., Ibrahim, N. A., Mengersen, K., Shitan, M., & Juahir, H. (2014). Bayesian model-based approach for developing a river water quality index. In Statistics and Operational Research International Conference, SORIC 2013 (Vol. 1613, pp. 45-54). American Institute of Physics Inc.. https://doi.org/10.1063/1.4894330

Bayesian model-based approach for developing a river water quality index. / Mohd Ali, Zalina; Ibrahim, Noor Akma; Mengersen, Kerrie; Shitan, Mahendran; Juahir, Hafizan.

Statistics and Operational Research International Conference, SORIC 2013. Vol. 1613 American Institute of Physics Inc., 2014. p. 45-54.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohd Ali, Z, Ibrahim, NA, Mengersen, K, Shitan, M & Juahir, H 2014, Bayesian model-based approach for developing a river water quality index. in Statistics and Operational Research International Conference, SORIC 2013. vol. 1613, American Institute of Physics Inc., pp. 45-54, Statistics and Operational Research International Conference, SORIC 2013, Sarawak, Malaysia, 3/12/13. https://doi.org/10.1063/1.4894330
Mohd Ali Z, Ibrahim NA, Mengersen K, Shitan M, Juahir H. Bayesian model-based approach for developing a river water quality index. In Statistics and Operational Research International Conference, SORIC 2013. Vol. 1613. American Institute of Physics Inc. 2014. p. 45-54 https://doi.org/10.1063/1.4894330
Mohd Ali, Zalina ; Ibrahim, Noor Akma ; Mengersen, Kerrie ; Shitan, Mahendran ; Juahir, Hafizan. / Bayesian model-based approach for developing a river water quality index. Statistics and Operational Research International Conference, SORIC 2013. Vol. 1613 American Institute of Physics Inc., 2014. pp. 45-54
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