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Journal of Hydrology: Regional Studies
Article . 2025 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Enhancing hydrometric monitoring in Ethiopia's Abbay basin: A collaborative framework for Data-Scarce Africa

Authors: Ermias Teferi; Greg O'Donnell; Woldeamlak Bewket; Gete Zeleke; Claire Walsh;

Enhancing hydrometric monitoring in Ethiopia's Abbay basin: A collaborative framework for Data-Scarce Africa

Abstract

Study region: The Abbay River Basin, a representative Blue Nile basin in Ethiopia, Africa. Study focus: We conducted a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis on the basis of analyzing over 100 stream gauging stations collected over five decades. The study aims to understand the existing state of hydrometric monitoring system, and provide a new approach for strengthening hydrometric monitoring in data-scarce regions. The study uses a collaborative approach, involving statistical analysis, spatial data generation, participatory workshops and key informant interviews to inform the analysis. New hydrological insight for the region: Our research makes several significant contributions. First, we employed a collaborative methodology, involving participatory workshops and key informant interviews to inform the analysis. Second, we derived precise catchment boundaries and stream networks for over 100 monitoring stations, revealing errors in the existing hydrometric system. Third, we performed rigorous quality checks through statistical analysis, including outlier analysis and homogeneity tests on daily streamflow data from more than 100 stations, ensuring data reliability and integrity. Finally, this study presents a collaborative framework for enhancing hydrometric monitoring in data-scarce regions of Africa, with a focus on addressing financial and operational challenges.

Keywords

Physical geography, QE1-996.5, Hydrometric monitoring, Participatory methods, Data reliability, Ethiopia, SWOT analysis, Geology, GB3-5030

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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