TY - JOUR
T1 - Characterisation of spatial variability in water quality in the Great Barrier Reef catchments using multivariate statistical analysis
AU - Liu, S.
AU - Ryu, D.
AU - Webb, J. A.
AU - Lintern, A.
AU - Waters, D.
AU - Guo, D.
AU - Western, A. W.
PY - 2018/12
Y1 - 2018/12
N2 - 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.
AB - 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.
KW - Catchment characteristics
KW - Great Barrier Reef catchments
KW - Land use
KW - Multivariate analysis
KW - Water quality
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=anu_research_portal_plus2&SrcAuth=WosAPI&KeyUT=WOS:000453490300018&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1016/j.marpolbul.2018.10.019
DO - 10.1016/j.marpolbul.2018.10.019
M3 - Article
C2 - 30503420
SN - 0025-326X
VL - 137
SP - 137
EP - 151
JO - Marine Pollution Bulletin
JF - Marine Pollution Bulletin
ER -