Assessment of crowdsourced social media data and numerical modelling as complementary tools for urban flood mitigation

Assessment of crowdsourced social media data and numerical modelling as complementary tools for urban flood mitigation

This paper explores how crowdsourced social media data complements urban flood modelling to improve model performance and achieve a better classification of impacts. In addition to georeferencing flood impacts, Twitter allows monitoring the events in terms of hazards and impacts, and YouTube facilit...

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Bibliographic Details
Published in:Hydrological sciences journal Vol. 67; no. 9; pp. 1295 - 1308
Main Authors: Re, Mariano, Kazimierski, Leandro D., Garcia, Pablo E., Ortiz, Nicolás E., Lagos, Marina
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 04-07-2022
Taylor & Francis Ltd
Subjects:
Complementation
Crowdsourcing
Digital media
Environmental risk
Flood management
Flood risk
Floods
large urban basin
Mitigation
Modelling
numerical modelling
Risk management
Sensory integration
Social media
Social networks
Storms
Twitter
YouTube
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Summary:This paper explores how crowdsourced social media data complements urban flood modelling to improve model performance and achieve a better classification of impacts. In addition to georeferencing flood impacts, Twitter allows monitoring the events in terms of hazards and impacts, and YouTube facilitates a retrospective analysis from audiovisual data. The analysis of 2800 tweets collected during four storm events and of almost 900 videos of the recent history of the basin, together with the implementation of a high-resolution model, contributed to the expansion of the capacity to represent the temporal and spatial scales of the problem. The complementation of crowdsourced social media data and urban modelling enhances the understanding of the flood dynamics, thus offering a framework of greater certainty for the generation of flood risk management products.
ISSN:0262-6667
2150-3435
DOI:10.1080/02626667.2022.2075266