Articles | Volume 26, issue 4
https://doi.org/10.5194/nhess-26-1795-2026
https://doi.org/10.5194/nhess-26-1795-2026
Research article
 | 
20 Apr 2026
Research article |  | 20 Apr 2026

Prototype citizen and community science app for urban heavy rainfall risk management in the Ahr Valley, Germany

Jaqueline Hoffmann, Sascha Nau, Sabrina Abler, Vincent Theis, Peter Fischer-Stabel, Julian Janßen, and Andreas Abecker

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Short summary
This proof-of-concept study presents a prototype Citizen and Community Science app that enables residents to document, classify, and report pluvial flood risks at neighbourhood scale in the Ahr Valley, Germany. Crowdsourced data feed into a Geo Data Warehouse to support municipal analysis and decision-making. Its open-source, scalable design strengthens public awareness and offers potential for global adaptation in urban flood risk management.
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