Bayesian network modelling of phosphorus pollution in agricultural catchments with high-resolution data-Reference-Cited by-同舟云学术

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Bayesian network modelling of phosphorus pollution in agricultural catchments with high-resolution data

Published:2024-07 Issue: Volume:178 Page:106073
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Negri Camilla^ORCID,Mellander Per-Erik^ORCID,Schurch Nicholas^ORCID,Wade Andrew J.^ORCID,Gagkas Zisis^ORCID,Wardell-Johnson Douglas H.^ORCID,Adams Kerr^ORCID,Glendell Miriam^ORCID

Funder

Teagasc

Publisher

Elsevier BV

Reference77 articles.

1. Bayesian networks in environmental modelling;Aguilera;Environ. Model. Software,2011

2. Bayesian networks in environmental and resource management;Barton;Integrated Environ. Assess. Manag.,2012

3. GeNIe 2.4,2019

4. Towards a methodology for testing models as hypotheses in the inexact sciences;Beven;Proc. R. Soc. Math. Phys. Eng. Sci.,2019

5. Advances in catchment science, hydrochemistry, and aquatic Ecology Enabled by high-frequency water quality measurements;Bieroza;Environ. Sci. Technol.,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transferability of a Bayesian Belief Network across diverse agricultural catchments using high-frequency hydrochemistry and land management data;Science of The Total Environment;2024-11

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