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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (12 Oct 2020) by Nadav Peleg
AR by J. Arturo Torres-Matallana on behalf of the Authors (19 Oct 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (20 Oct 2020) by Nadav Peleg
RR by Anonymous Referee #2 (09 Nov 2020)
ED: Publish subject to technical corrections (10 Nov 2020) by Nadav Peleg
AR by J. Arturo Torres-Matallana on behalf of the Authors (18 Nov 2020)  Author's response    Manuscript
Download
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.