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Characterisation of spatial variability in water quality in the Great Barrier Reef catchments using multivariate statistical analysis.
Liu, S; Ryu, D; Webb, J A; Lintern, A; Waters, D; Guo, D; Western, A W.
Afiliação
  • Liu S; Department of Infrastructure Engineering, The University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: shucil@student.unimelb.edu.au.
  • Ryu D; Department of Infrastructure Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.
  • Webb JA; Department of Infrastructure Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.
  • Lintern A; Department of Infrastructure Engineering, The University of Melbourne, Parkville, VIC 3010, Australia; Department of Civil Engineering, Monash University, VIC 3800, Australia.
  • Waters D; Queensland Department of Natural Resources, Mines and Energy, Toowoomba, QLD 4350, Australia.
  • Guo D; Department of Infrastructure Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.
  • Western AW; Department of Infrastructure Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.
Mar Pollut Bull ; 137: 137-151, 2018 Dec.
Article em En | MEDLINE | ID: mdl-30503420
ABSTRACT
Water quality monitoring is important to assess changes in inland and coastal water quality. The focus of this study was to improve understanding of the spatial component of spatial-temporal water quality dynamics, particularly the spatial variability in water quality and the association between this spatial variability and catchment characteristics. A dataset of nine water quality constituents collected from 32 monitoring sites over a 11-year period (2006-2016), across the Great Barrier Reef catchments (Queensland, Australia), were evaluated by multivariate techniques. Two clusters were identified, which were strongly associated with catchment characteristics. A two-step Principal Component Analysis/Factor Analysis revealed four groupings of constituents with similar spatial pattern and allowed the key catchment characteristics affecting water quality to be determined. These findings provide a more nuanced view of spatial variations in water quality compared with previous understanding and an improved basis for water quality management to protect nearshore marine ecosystem.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água do Mar Tipo de estudo: Prognostic_studies País/Região como assunto: Oceania Idioma: En Revista: Mar Pollut Bull Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água do Mar Tipo de estudo: Prognostic_studies País/Região como assunto: Oceania Idioma: En Revista: Mar Pollut Bull Ano de publicação: 2018 Tipo de documento: Article