Citizen scientists’ engagement in flood risk-related data collection: a case study in Bui River Basin, Vietnam
-
Published:2024-02-17
Issue:3
Volume:196
Page:
-
ISSN:0167-6369
-
Container-title:Environmental Monitoring and Assessment
-
language:en
-
Short-container-title:Environ Monit Assess
Author:
Tran Huan N.ORCID, Rutten MartineORCID, Prajapati Rajaram, Tran Ha T., Duwal Sudeep, Nguyen Dung T., Davids Jeffrey C., Miegel KonradORCID
Abstract
AbstractTime constraints, financial limitations, and inadequate tools restrict the flood data collection in undeveloped countries, especially in the Asian and African regions. Engaging citizens in data collection and contribution has the potential to overcome these challenges. This research demonstrates the applicability of citizen science for gathering flood risk-related data on residential flooding, land use information, and flood damage to paddy fields for the Bui River Basin in Vietnam. Locals living in or around flood-affected areas participated in data collection campaigns as citizen scientists using self-investigation or investigation with a data collection app, a web form, and paper forms. We developed a community-based rainfall monitoring network in the study area using low-cost rain gauges to draw locals’ attention to the citizen science program. Fifty-nine participants contributed 594 completed questionnaires and measurements for four investigated subjects in the first year of implementation. Five citizen scientists were active participants and contributed more than 50 completed questionnaires or measurements, while nearly 50% of citizen scientists participated only one time. We compared the flood risk-related data obtained from citizen scientists with other independent data sources and found that the agreement between the two datasets on flooding points, land use classification, and the flood damage rate to paddy fields was acceptable (overall agreement above 73%). Rainfall monitoring activities encouraged the participants to proactively update data on flood events and land use situations during the data collection campaign. The study’s outcomes demonstrate that citizen science can help to fill the gap in flood data in data-scarce areas.
Funder
Nuffic, Netherlands Smartphones4water German Catholic Academic Exchange Service University of Rostock Universität Rostock
Publisher
Springer Science and Business Media LLC
Reference73 articles.
1. Apel, H., Aronica, G. T., Kreibich, H., & Thieken, A. H. (2009). Flood risk analyses - how detailed do we need to be? Natural Hazards, 49(1), 79–98. https://doi.org/10.1007/s11069-008-9277-8 2. Assumpcao, T. H., Jonoski, A., Theona, I., Tsiakos, C., Krommyda, M., Tamascelli, S., Kallioras, A., Mierla, M., Georgiou, H. V., Miska, M., Pouliaris, C., Trifanov, C., Cimpan, K. T., Tsertou, A., Marin, E., Diakakis, M., Nichersu, I., Amditis, A. J., & Popescu, I. (2019). Citizens’ campaigns for environmental water monitoring: Lessons from field experiments. IEEE Access, 7, 134601–134620. https://doi.org/10.1109/ACCESS.2019.2939471 3. Azizi, K., Kofi Diko, S., & Meier, C. I. (2023). A citizen science approach to the characterisation and modelling of urban pluvial flooding. Water Alternatives, 1(16), 265–294. Retrieved on August 15, 2023, from https://www.wateralternatives.org/index.php/alldoc/articles/vol16/v16issue1/688-a16-1-5 4. Beza, E., Reidsma, P., Poortvliet, P. M., Belay, M. M., Bijen, B. S., & Kooistra, L. (2018). Exploring farmers’ intentions to adopt mobile short message service (SMS) for citizen science in agriculture. Computers and Electronics in Agriculture, 151(February2017), 295–310. https://doi.org/10.1016/j.compag.2018.06.015 5. Bonney, R., Cooper, C. B., Dickinson, J., Kelling, S., Phillips, T., Rosenberg, K. V, & Shirk, J. (2009). Citizen science: A developing tool for expanding science knowledge and scientific literacy. BioScience, 59(11). https://doi.org/10.1525/bio.2009.59.11.9
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|