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

Sperotto, A.; Molina, J.L.; Torresan, S.; Critto, A.; Pulido-Velazquez, M.; Marcomini, A. (Elsevier, 2019-11)

[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 ...
Stochastic hydro-economic model for groundwater quality management using Bayesian networks

Molina, J.L.; Pulido-Velazquez, M.; Llopis Albert, Carlos; Peña Haro, Salvador (IWA Publishing, 2013)

A strong normative development in Europe, including the Nitrate Directive (1991) and the Water Framework Directive (WFD) (2000), has been promulgated. The WFD states that all water bodies have to reach a good quantitative ...
Water Quality Sustainability Evaluation under Uncertainty: A Multi-Scenario Analysis Based on Bayesian Networks

Sperotto, A.; Molina, J.L.; Torresan, S.; Critto, A.; Pulido-Velazquez, M.; Marcomini, A. (MDPI AG, 2019-08-31)

[EN] With increasing evidence of climate change affecting the quality of water resources, there is the need to assess the potential impacts of future climate change scenarios on water systems to ensure their long-term ...

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