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A Bayesian Networks approach for the assessment of climate change impacts on nutrients loading

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A Bayesian Networks approach for the assessment of climate change impacts on nutrients loading

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Sperotto, A.; Molina, J.; Torresan, S.; Critto, A.; Pulido-Velazquez, M.; Marcomini, A. (2019). A Bayesian Networks approach for the assessment of climate change impacts on nutrients loading. Environmental Science & Policy. 100:21-36. https://doi.org/10.1016/j.envsci.2019.06.004

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/156315

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Title: A Bayesian Networks approach for the assessment of climate change impacts on nutrients loading
Author: Sperotto, A. Molina, J.L. Torresan, S. Critto, A. Pulido-Velazquez, M. Marcomini, A.
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Issued date:
Abstract:
[EN] Climate change is likely to strongly affect both the qualitative and quantitative characteristics of water resources. However, while potential impacts of climate change on water availability have been widely studied ...[+]
Subjects: Bayesian Networks , Climate change impacts , Nutrients loading , Water quality , Zero river basin
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Environmental Science & Policy. (issn: 1462-9011 )
DOI: 10.1016/j.envsci.2019.06.004
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.envsci.2019.06.004
Thanks:
The research leading to these results has received funding from the Euro-Mediterranean Center on Climate Change (CMCC), Strategic Projects Funds (2016-2018). The authors would like to thank all the public authorities and ...[+]
Type: Artículo

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