Sustainable risk management of trouble spots caused by heavy rainfall events: Citizen Science app and data analytics for residents and authorities
Abstract. To address the increasing threat of heavy rainfall events the FloReST (Urban Flood Resilience – Smart Tools) project focuses on the identification and prediction of emergency flow paths in urban areas and enhancing risk management and communication. The project developed a Citizen Science app to document and report pluvial flood risks in urban areas due to the fact that conventional flood protection has so far focused mainly on fluvial hazards. The population is involved in sustainable risk minimisation through the active use of the app and local risk awareness. Additionally, the app includes educational functions through a user guidance on categorizing pluvial hazards and taking preventive measures. The app is complemented by a Geo Data Warehouse, which enables authorities to analyse and visualise the data transmitted by users via customisable dashboards. Although there are still some technical limitations, such as limited offline functionality and inaccuracies in the use of Global Navigation Satellite Systems, these may be addressed in future research. Thanks to its open-source design, the system remains scalable and can be adapted to other regions worldwide. Overall, the Citizen Science app and Geo Data Warehouse form an innovative, participatory tool that improves the resilience of cities to climate change through inclusive, data-driven risk management.
REVIEW OF egusphere-2025-3702 (NHESS)
“SUSTAINABLE RISK MANAGEMENT OF TROUBLE SPOTS CAUSED BY HEAVY RAINFALL EVENTS: CITIZEN SCIENCE APP AND DATA ANALYTICS FOR RESIDENTS AND AUTHORITIES” BY HOFFMANN ET AL.
This manuscript details the development of a novel app in the realm of risk management of pluvial floods. While the topic is interesting and the paper generally very well written, I have several major concerns about the narrative: this is a proof-of-concept descriptive paper that employs citizen science (CS) almost as an add-on. I would suggest either greatly enhancing the CS aspect through actual user testing, in the field, with a variety of different stakeholders (including local government and risk managers, who seem to be the intended target audience) or excising the CS part and focusing solely on the computational side of app development. Three of the five figures are simply screenshots of various aspects of the app. In general, the literature review misses several key papers on CS and the development of apps / new tech to that end, and instead features a strong regional focus. Citizen (or community) science must not be seen as a universal panacea; likewise the development of apps has a long documented history of failure, which must be acknowledged. Several recent studies (extensive reference list provided below) have noted a movement away from ad hoc apps, which may not continue to be used successfully by local stakeholders, instead piggybacking on existing social media and platforms like WhatsApp and OpenStreetMap. Finally, it is correctly stated that CS can play a role in democratising science, and that the app will be tailored to local communities. This is contradicted by having the app solely in the German language: either it must be made clear that the app is of sole relevance to Germany, or some form of language flexibility could be introduced.
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REFERENCES
Cohn JP. Citizen science: can volunteers do real research? Bioscience 2008, 58: 192.
Irwin A. Citizen Science: A Study of People, Expertise and Sustainable Development. Abingdon, UK: Psychology Press; 1995.
Paul J.D., W. Buytaert, S. Allen, J.A. Ballesteros-Canovas, J. Bhusal, K. Cieslik, J. Clark, S. Dugar, D.M. Hannah, M. Stoffel, A. Dewulf. M.R. Dhital, W. Liu, J.L. Nayaval, B. Neupane, A. Schiller, P.J. Smith and R. Supper, 2018. Citizen science for hydrological risk reduction and resilience building. Wiley Interdisciplinary Reviews: Water, 5, e1262
Paul J.D., E. Bee, and M. Budimir, 2021. Mobile phone technologies for disaster risk reduction. Climate Risk Management, 32, 100296
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Jonathan Paul
Royal Holloway, University of London
5 September 2025