This is home of Arturo’s relevant publications.
This study discussed the water quality impact of model outputs to the environment, specifically in combined sewer systems, in relation to temporal uncertainty analysis, which constitutes valuable information for the environmental authorities and decision-makers.
Surrogate modelling is an approach to develop a simpler and faster model emulating the outputs of a more complex simulator as a function of its inputs and parameters. Surrogate models are useful when the simulators are computationally expensive for applications such as model-based real time control, model calibration, design optimization, Monte Carlo based uncertainty propagation analysis, or sensitivity analysis. In the present research, we focus on the application of a Gaussian Processes Emulator to develop a data-driven surrogate model.
We present the R package stUPscales. This package constitutes a contribution in the state-of-art of open source tools that aim to support tasks of uncertainty propagation in the spatial and temporal domains. It opens the possibility of applying the software in studies involving Monte Carlo based uncertainty propagation analysis or long-term simulations across different scales when linking sub-models at different spatial and temporal scales, as it is often required in integrated environmental modelling.
In this study, we present the EmiStatR model with parallel computing capabilities and validate it to independent observations as well as simulation runs of a complex and detailed model. We prove the hypothesis that for urban catchments it is possible to have a similar accuracy for simulating combined sewer overflow (CSO) systems, and CSO loads of chemical variables proxies of water pollution, by using the proposed simplified scalable model as compared to the complex detailed model which implements the dynamic wave routing for solving the complete one-dimensional Saint Venant flow equations.
This study discussed the water quality impact of model outputs to the environment, specifically in combined sewer systems, in relation to temporal uncertainty analysis, which constitutes valuable information for the environmental authorities and decision-makers.