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Jairo Arturo Torres-Matallana, Ulrich Leopold, Kai Klepiszewski and Gerard B. M. Heuvelink
Many complex urban drainage quality models are computationally expensive. Complexity and computing times may become prohibitive when these models are used in a Monte Carlo (MC) uncertainty analysis of long time series, in particular for practitioners. Co...
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Mahmood Mahmoodian, Jairo Arturo Torres-Matallana, Ulrich Leopold, Georges Schutz and Francois H. L. R. Clemens
In this study, applicability of a data-driven Gaussian Process Emulator (GPE) technique to develop a dynamic surrogate model for a computationally expensive urban drainage simulator is investigated. Considering rainfall time series as the main driving fo...
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