Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-391-2018
https://doi.org/10.5194/hess-22-391-2018
Research article
 | 
17 Jan 2018
Research article |  | 17 Jan 2018

Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy)

Maurizio Mazzoleni, Vivian Juliette Cortes Arevalo, Uta Wehn, Leonardo Alfonso, Daniele Norbiato, Martina Monego, Michele Ferri, and Dimitri P. Solomatine

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by Editor and Referees) (19 Jun 2017) by Wouter Buytaert
AR by Maurizio Mazzoleni on behalf of the Authors (07 Aug 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (08 Aug 2017) by Wouter Buytaert
RR by Anonymous Referee #1 (08 Sep 2017)
RR by Anonymous Referee #3 (15 Sep 2017)
ED: Publish subject to minor revisions (further review by Editor) (19 Sep 2017) by Wouter Buytaert
AR by Maurizio Mazzoleni on behalf of the Authors (06 Oct 2017)  Author's response   Manuscript 
ED: Publish as is (13 Nov 2017) by Wouter Buytaert
AR by Maurizio Mazzoleni on behalf of the Authors (23 Nov 2017)
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Short summary
We investigate the usefulness of assimilating crowdsourced observations from a heterogeneous network of sensors for different scenarios of citizen involvement levels during the flood event occurred in the Bacchiglione catchment in May 2013. We achieve high model performance by integrating crowdsourced data, in particular from citizens motivated by their feeling of belonging to a community. Satisfactory model performance can still be obtained even for decreasing citizen involvement over time.