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Characterisation of spatial variability in water quality in the Great Barrier Reef catchments using multivariate statistical analysis.

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.

journal_name

Mar Pollut Bull

journal_title

Marine pollution bulletin

authors

Liu S,Ryu D,Webb JA,Lintern A,Waters D,Guo D,Western AW

doi

10.1016/j.marpolbul.2018.10.019

subject

Has Abstract

pub_date

2018-12-01 00:00:00

pages

137-151

eissn

0025-326X

issn

1879-3363

pii

S0025-326X(18)30721-5

journal_volume

137

pub_type

杂志文章

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