Predicting recreational water quality and public health safety in urban estuaries using Bayesian Networks-Reference-Cited by-同舟云学术

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Predicting recreational water quality and public health safety in urban estuaries using Bayesian Networks

Published:2024-05 Issue: Volume:254 Page:121319
ISSN:0043-1354
Container-title:Water Research
language:en
Short-container-title:Water Research

Author:

Lloyd Simon D.^ORCID,Carvajal Guido^ORCID,Campey Meredith,Taylor Nerida^ORCID,Osmond Paul^ORCID,Roser David J.,Khan Stuart J.^ORCID

Funder

Australian Commonwealth Government

Publisher

Elsevier BV

Reference67 articles.

1. Sewage-associated marker genes illustrate the impact of wet weather overflows and dry weather leakage in urban estuarine waters of Sydney, Australia;Ahmed;Sci. Total Environ.,2020

2. Almond, R.G., 2021. R interface to Netica(R) Bayesian Network Engine.

3. Ultraviolet Radiation Index data: One minute Resolution UV Index data Measured At Sydney,2021

4. Evaluating statistical model performance in water quality prediction;Avila;J. Environ. Manage.,2018

5. Bayesian Networks in coastal engineering: distinguishing descriptive and predictive applications;Beuzen;Coast. Eng.,2018

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1. Analysis of Driving Factors for Vegetation Ecological Quality Based on Bayesian Network;Forests;2024-07-19

2. Spatio-Temporal Variation in the Exceedance of Enterococci in Lake Burley Griffin: An Analysis of 16 Years’ Recreational Water Quality Monitoring Data;International Journal of Environmental Research and Public Health;2024-05-01

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