Articles | Volume 25, issue 1
https://doi.org/10.5194/hess-25-193-2021
https://doi.org/10.5194/hess-25-193-2021
Research article
 | 
13 Jan 2021
Research article |  | 13 Jan 2021

Multivariate autoregressive modelling and conditional simulation for temporal uncertainty analysis of an urban water system in Luxembourg

Jairo Arturo Torres-Matallana, Ulrich Leopold, and Gerard B. M. Heuvelink

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Cited articles

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Bachmann-Machnik, A., Meyer, D., Waldhoff, A., Fuchs, S., and Dittmer, U.: Integrating retention soil filters into urban hydrologic models – Relevant processes and important parameters, J. Hydrol., 559, 442–453, https://doi.org/10.1016/j.jhydrol.2018.02.046, 2018. a, b, c, d
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Barbosa, S. M.: Package ”mAr”: Multivariate AutoRegressive analysis, The Comprehensive R Archive Network, CRAN, 1.1-2 edn., 2015. a
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Short summary
This study aimed to select and characterise the main sources of input uncertainty in urban sewer systems, while accounting for temporal correlations of uncertain model inputs, by propagating input uncertainty through the model. We discuss the water quality impact of the model outputs to the environment, specifically in combined sewer systems, in relation to the uncertainty analysis, which constitutes valuable information for the environmental authorities and decision-makers.