Flood Modelling and Citizen Observatories: Analysing Pathways for Data Collection in the Sontea-Fortuna Case Study

6 pages•Published: September 20, 2018

Thaine H. Assumpção, André B. Venturini, Ioana Popescu, Andreja Jonoski and Dimitri P. Solomatine

Abstract

Accurate flood models require large amounts of data inputs which are not always available. Recently data coming from other sources, such as crowdsourced data, have been increasingly explored in the scientific literature. However, there is no clear methodology showing where willing citizens could go for data collection. Thus, this study proposes an optimization framework to generate and prioritize pathways that citizens could take while collecting data. The proposed framework is tested on the Sontea-Fortuna area, part of the Danube Delta, where water stagnation is threatening the local ecosystems. Among the pathways generated, results analysis showed that pathways closer to the starting point were more effective.

Keyphrases: citizen observatories, danube delta, flood modelling, optimization, pathways design

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 111-116.

Links:	https://easychair.org/publications/paper/QLcr
	https://doi.org/10.29007/dp8z

BibTeX entry

@inproceedings{HIC2018:Flood_Modelling_Citizen_Observatories,
  author    = {Thaine H. Assumpção and André B. Venturini and Ioana Popescu and Andreja Jonoski and Dimitri P. Solomatine},
  title     = {Flood Modelling and Citizen Observatories: Analysing Pathways for Data Collection in the Sontea-Fortuna Case Study},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/QLcr},
  doi       = {10.29007/dp8z},
  pages     = {111-116},
  year      = {2018}}

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