What is it about?
The research study employed Bayesian Network modelling to investigate the validity of using cross-sectional and longitudinal data on water quality and land use for predicting water quality in a mixed use catchment.
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Why is it important?
The outcomes of the current investigation are expected to contribute to enhancing the understanding of the relationships between land use and surface water quality, and thereby facilitate informed decision making in the design of strategies to mitigate pollution impacts on receiving waters.
Perspectives
This is a groundbreaking study where Bayesian Network modeling was employed for analyzing the validity of using cross-sectional and longitudinal data surface water quality prediction.
Professor Ashantha Goonetilleke
Queensland University of Technology
Read the Original
This page is a summary of: Evaluating the relationship between temporal changes in land use and resulting water quality, Environmental Pollution, March 2018, Elsevier,
DOI: 10.1016/j.envpol.2017.11.096.
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