Evidence map›Paper›PMID 38368305›Full record

ArticleEnvironmental monitoring and assessment2024

Citizen scientists' engagement in flood risk-related data collection: a case study in Bui River Basin, Vietnam.

Huan N Tran, Martine Rutten, Rajaram Prajapati, Ha T Tran, Sudeep Duwal, Dung T Nguyen, Jeffrey C Davids, Konrad Miegel

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Huan N TranFaculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany. huan.tran@uni-rostock.de.ORCID http://orcid.org/0000-0003-3891-8215
Martine Rutten, The Hague, Netherlands.ORCID http://orcid.org/0000-0002-2982-3129
Rajaram PrajapatiSmartPhones4Water, Chico, USA.
Ha T TranCollege of Land Management and Rural Development, Viet Nam National University of Forestry, Hanoi, Vietnam.
Sudeep DuwalSmartphones For Water Nepal, Lalitpur, Nepal.
Dung T NguyenFaculty of Economics and Management, Thuyloi University, Hanoi, Vietnam.
Jeffrey C DavidsSmartPhones4Water, Chico, USA.
Konrad MiegelFaculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany.ORCID http://orcid.org/0000-0002-4374-8903

Funding

Nuffic, Netherlands OKP-VNM-10005
6 · The paper itself

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.

Indexed as

FloodsRiversEnvironmental MonitoringHumansSurveys and QuestionnairesVietnamCitizen scienceFlood vulnerabilityInformation and communication technologyLand useLow-cost rain gaugeResidential flooding

Identifiers

PMID38368305
PMCPMC10874335

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.