Water quality monitoring
programs often collect large amounts of data with limited attention given to
the assessment of the dominant drivers of spatial and temporal water quality
variations at the catchment scale. This study aims to: a) identify the
influential catchment characteristics affecting spatial variability in water
quality, and b) develop predictive models to estimate average concentration of water
quality constituents. Tropical catchments in the Great Barrier Reef area,
Australia were used as a case study. Water quality monitoring data (i.e.
sediments, nutrients and salinity) from 32 sites together with 58 candidate
catchment characteristics were used to construct statistical models. This data set contains 58 catchment characteristics and 9 time-averaged water quality constituents' concentration at 32 GBR catchments.