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Citizen scientists' engagement in flood risk-related data collection: a case study in Bui River Basin, Vietnam.
Tran, Huan N; Rutten, Martine; Prajapati, Rajaram; Tran, Ha T; Duwal, Sudeep; Nguyen, Dung T; Davids, Jeffrey C; Miegel, Konrad.
Afiliación
  • Tran HN; Faculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany. huan.tran@uni-rostock.de.
  • Rutten M; Faculty of Water Resources, Hanoi University of Natural Resources and Environment, Hanoi, Vietnam. huan.tran@uni-rostock.de.
  • Prajapati R; , The Hague, Netherlands.
  • Tran HT; SmartPhones4Water, Chico, USA.
  • Duwal S; College of Land Management and Rural Development, Viet Nam National University of Forestry, Hanoi, Vietnam.
  • Nguyen DT; Smartphones For Water Nepal, Lalitpur, Nepal.
  • Davids JC; Faculty of Economics and Management, Thuyloi University, Hanoi, Vietnam.
  • Miegel K; SmartPhones4Water, Chico, USA.
Environ Monit Assess ; 196(3): 280, 2024 Feb 17.
Article en En | MEDLINE | ID: mdl-38368305
ABSTRACT
Time 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ríos / Inundaciones Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ríos / Inundaciones Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Países Bajos