Value of quality controlled citizen science data for rainfall-runoff characterization in a rapidly urbanizing catchment

cg.contributor.affiliationAddis Ababa Universityen
cg.contributor.affiliationAddis Ababa Science and Technology Universityen
cg.contributor.affiliationInternational Water Management Instituteen
cg.contributor.affiliationWageningen Universityen
cg.contributor.donorGlobal Challenges Research Funden
cg.coverage.countryEthiopiaen
cg.coverage.iso3166-alpha2ETen
cg.coverage.subregionAddis Ababaen
cg.coverage.subregionAkaki Catchmenten
cg.creator.identifierAlemseged Tamiru Haile: 0000-0001-8647-2188en
cg.identifier.doihttps://doi.org/10.1016/j.jhydrol.2024.130639en
cg.identifier.iwmilibraryH053341en
cg.isijournalISI Journalen
cg.issn0022-1694en
cg.journalJournal of Hydrologyen
cg.reviewStatusPeer Reviewen
cg.volume629en
dc.contributor.authorMengistie, G. K.en
dc.contributor.authorWondimagegnehu, Kirubel Demissieen
dc.contributor.authorWalker, D. W.en
dc.contributor.authorHaile, Alemseged Tamiruen
dc.date.accessioned2024-12-20T01:28:57Zen
dc.date.available2024-12-20T01:28:57Zen
dc.identifier.urihttps://hdl.handle.net/10568/168110
dc.titleValue of quality controlled citizen science data for rainfall-runoff characterization in a rapidly urbanizing catchmenten
dcterms.abstractThe major concern of applying citizen science in water resources is the quality of the data. However, there are limited scientific studies addressing this concern and showing the data value. In this study, we established a citizen science program in the Akaki catchment which hosts Addis Ababa, Ethiopia. Citizen scientists monitored river stage at multiple gauging sites for multiple years. We evaluated the quality of citizen science data through a systematic quality control. Reference data was obtained from neighboring stations of the citizen science program and professionals while the evaluation involved graphical inspections and statistical methods. The quality-controlled data were applied to evaluate the spatial and temporal variation of rainfall-runoff relationships. Initially, large numbers of suspicious data were detected using single station data but that was significantly reduced when the data of multiple sites were compared. Further comparison against professional data revealed excellent agreement with high correlation coefficient (r >0.95), and low centered root mean square error (RMSE) <0.03–0.08 mm. The citizen science data indicated a large difference in rainfall-runoff relationship over the dominantly urban and rural sub-catchments. The citizen science data allowed comparison of runoff coefficient and base flow index for recent and historical periods where recent streamflow data is unavailable from a formal data source. This study illustrates the immense value of (i) multiple data quality assessment steps for building confidence on the quality of citizen science data, and (ii) citizen science for enhancing our understanding of rainfall-runoff relationships and change in a rapidly urbanizing catchment.en
dcterms.accessRightsOpen Accessen
dcterms.available2024-01-14en
dcterms.bibliographicCitationMengistie, G. K.; Wondimagegnehu, Kirubel Demissie; Walker, D. W.; Haile, Alemseged Tamiru. 2024. Value of quality controlled citizen science data for rainfall-runoff characterization in a rapidly urbanizing catchment. Journal of Hydrology, 629:130639. [doi: https://doi.org/10.1016/j.jhydrol.2024.130639]en
dcterms.extent130639en
dcterms.issued2024-02en
dcterms.languageenen
dcterms.licenseCC-BY-4.0en
dcterms.publisherElsevieren
dcterms.subjectcitizen scienceen
dcterms.subjectdata qualityen
dcterms.subjectquality controlen
dcterms.subjectrainfallen
dcterms.subjectrunoffen
dcterms.subjecturbanizationen
dcterms.subjectriversen
dcterms.subjectdatasetsen
dcterms.typeJournal Articleen

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