Prediction of dissolved oxygen, biochemical oxygen demand, and chemical oxygen demand using hydrometeorological variables: case study of Selangor River, Malaysia

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dc.contributor.authorSinan Q. Salih
dc.contributor.authorIntisar Alakili
dc.contributor.authorUfuk Beyaztas
dc.contributor.authorShamsuddin Shahid
dc.contributor.authorZaher Mundher Yaseen
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-20T07:04:28Z
dc.date.available2024-05-20T07:04:28Z
dc.date.issued2020
dc.description.abstractIn this research, three water quality (WQ) indexes, namely dissolved oxygen (DO), biochemical oxygen demand (BOD), and chemical oxygen demand (COD), in Selangor River of peninsular Malaysia were simulated using a stochastic model based on vector auto-regression (VAR).
dc.identifier.citationSalih, S. Q., Alakili, I., Beyaztas, U., Shahid, S., & Yaseen, Z. M. (2020). Prediction of dissolved oxygen, biochemical oxygen demand, and chemical oxygen demand using hydrometeorological variables: case study of Selangor River, Malaysia. Environment, development and sustainability, 23(5), 8027-8046.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/1512
dc.language.isoen
dc.publisherSpringer
dc.publisher.alternativeEnvironment, Development and Sustainability
dc.subjectWater quality parameters
dc.subjectPrediction
dc.subjectHydrometeorological variables
dc.subjectTropical environment
dc.titlePrediction of dissolved oxygen, biochemical oxygen demand, and chemical oxygen demand using hydrometeorological variables: case study of Selangor River, Malaysia
dc.typeJournal

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