Citizen science for monitoring rainfall in Vietnam
Citizen Science (CS) has been arising as a promising approach to address hydro-meteorological data gaps spatially and temporally and providing information about catchment characteristics for water resource management for the last ten years. In Vietnam, many national efforts aimed to renovate and ext...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05014.pdf |
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| author | Tran Huan N. Duwal Sudeep Prajapati Rajaram Davids Jeffrey C. Nguyen Dung T. Miegel Konrad |
| author_facet | Tran Huan N. Duwal Sudeep Prajapati Rajaram Davids Jeffrey C. Nguyen Dung T. Miegel Konrad |
| author_sort | Tran Huan N. |
| collection | DOAJ |
| description | Citizen Science (CS) has been arising as a promising approach to address hydro-meteorological data gaps spatially and temporally and providing information about catchment characteristics for water resource management for the last ten years. In Vietnam, many national efforts aimed to renovate and extend the operating water monitoring networks. However, the lack of reliable hydro-meteorological data remains an issue that may be better handled by using a CS approach. This study examines the CS approach to monitor rainfall in the Bui River Basin in Vietnam using low-cost rain gauges constructed from soda bottles, concrete, and rulers. The rainfall data of 19 citizen scientists from January 2022 to August 2023 were used for the analysis. The CS data were compared with data from one official reference station. The correlation coefficient (R) was applied to evaluate the significance of the agreement between the monthly CS data at the station with the longest measurement period and reference data. Results yield a significant correlation between CS and reference station with an R = 0,90. The results show that citizen science has the potential of being a complementary approach for existing Vietnamese monitoring systems, particularly for data-scarce areas. |
| format | Article |
| id | doaj-art-ee795e99564a4805b6c1f2bbe741befb |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-ee795e99564a4805b6c1f2bbe741befb2025-02-05T10:49:34ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016080501410.1051/e3sconf/202560805014e3sconf_eenviro2024_05014Citizen science for monitoring rainfall in VietnamTran Huan N.0https://orcid.org/0000-0003-3891-8215Duwal Sudeep1Prajapati Rajaram2Davids Jeffrey C.3Nguyen Dung T.4Miegel Konrad5https://orcid.org/0000-0002-4374-8903Faculty of Agricultural and Environmental Sciences, University of RostockSmartphones4Water NepalSmartphones4WaterSmartphones4WaterFaculty of Economics and Management, Thuyloi UniversityFaculty of Economics and Management, Thuyloi UniversityCitizen Science (CS) has been arising as a promising approach to address hydro-meteorological data gaps spatially and temporally and providing information about catchment characteristics for water resource management for the last ten years. In Vietnam, many national efforts aimed to renovate and extend the operating water monitoring networks. However, the lack of reliable hydro-meteorological data remains an issue that may be better handled by using a CS approach. This study examines the CS approach to monitor rainfall in the Bui River Basin in Vietnam using low-cost rain gauges constructed from soda bottles, concrete, and rulers. The rainfall data of 19 citizen scientists from January 2022 to August 2023 were used for the analysis. The CS data were compared with data from one official reference station. The correlation coefficient (R) was applied to evaluate the significance of the agreement between the monthly CS data at the station with the longest measurement period and reference data. Results yield a significant correlation between CS and reference station with an R = 0,90. The results show that citizen science has the potential of being a complementary approach for existing Vietnamese monitoring systems, particularly for data-scarce areas.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05014.pdf |
| spellingShingle | Tran Huan N. Duwal Sudeep Prajapati Rajaram Davids Jeffrey C. Nguyen Dung T. Miegel Konrad Citizen science for monitoring rainfall in Vietnam E3S Web of Conferences |
| title | Citizen science for monitoring rainfall in Vietnam |
| title_full | Citizen science for monitoring rainfall in Vietnam |
| title_fullStr | Citizen science for monitoring rainfall in Vietnam |
| title_full_unstemmed | Citizen science for monitoring rainfall in Vietnam |
| title_short | Citizen science for monitoring rainfall in Vietnam |
| title_sort | citizen science for monitoring rainfall in vietnam |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05014.pdf |
| work_keys_str_mv | AT tranhuann citizenscienceformonitoringrainfallinvietnam AT duwalsudeep citizenscienceformonitoringrainfallinvietnam AT prajapatirajaram citizenscienceformonitoringrainfallinvietnam AT davidsjeffreyc citizenscienceformonitoringrainfallinvietnam AT nguyendungt citizenscienceformonitoringrainfallinvietnam AT miegelkonrad citizenscienceformonitoringrainfallinvietnam |