ARPEGES: A Bayesian Belief Network to Assess the Risk of Pesticide Contamination for the River Network of France-Reference-Cited by-同舟云学术

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ARPEGES: A Bayesian Belief Network to Assess the Risk of Pesticide Contamination for the River Network of France

Published:2020-11-03 Issue:1 Volume:17 Page:188-201
ISSN:1551-3777
Container-title:Integrated Environmental Assessment and Management
language:en
Short-container-title:Integr Environ Assess Manag

Author:

Piffady Jeremy¹^ORCID,Carluer Nadia²^ORCID,Gouy Veronique²^ORCID,Henaff Guy²,Tormos Thierry¹³,Bougon Nolwenn¹⁴,Adoir Emilie²,Mellac Katell¹

Affiliation:

1. INRAE, Unité de recherche RiverLy Laboratoire EcoFlowS Villeurbanne Cedex France

2. INRAE, Unité de recherche RiverLy Equipe Pollutions Diffuses Villeurbanne Cedex France

3. Office Français de la Biodiversité Unité ECosystèmes LAcustres (ECLA) Aix‐en‐Provence France

4. Office National de la Biodiversité “Le Nadar” Hall C Vincennes France

Publisher

Wiley

Subject

General Environmental Science,General Medicine,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ieam.4343

Reference53 articles.

1. Extended Summary SCI Pesticides Group Meeting Ecotoxicology of Organic Compounds in the Aquatic Environment

2. Bayesian networks in environmental modelling

3. Investigating the relationships between environmental stressors and stream condition using Bayesian belief networks

4. Tillage management effects on pesticide fate in soils. A review

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