Evidence map›Paper›PMID 42457773›Full record

ArticleScientific reports2026

Synthetic streamflow generation for the ungauged Omo Kuraz watershed using MIKE 11 NAM parameter regionalization.

Kassa Tesfaye Erenso, Abdella Kemal Mohammed, Tarun Kumar Lohani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Kassa Tesfaye ErensoFaculty of Hydraulic and Water Resources Engineering, Arba Minch Water Technology Institute, Arba Minch University, P.O. Box 21, Arba Minch, Ethiopia.
Abdella Kemal MohammedFaculty of Hydraulic and Water Resources Engineering, Arba Minch Water Technology Institute, Arba Minch University, P.O. Box 21, Arba Minch, Ethiopia.
Tarun Kumar LohaniFaculty of Hydraulic and Water Resources Engineering, Arba Minch Water Technology Institute, Arba Minch University, P.O. Box 21, Arba Minch, Ethiopia. tklohani@gmail.com.ORCID https://orcid.org/0000-0003-4804-9711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study generated synthetic streamflow for the ungauged Omo-Kuraz Dam watershed in the Omo-Gibe River Basin, southern Ethiopia, using the MIKE 11 NAM conceptual rainfall-runoff model. Due to the absence of direct gauged data at the dam site, the downstream Omorate gauging station was utilized for model calibration (2010-2016) and validation (2017-2020), after which the optimized parameter sets were transferred to the ungauged watershed. Sensitivity analysis evaluated nine core hydrological parameters. The model achieved strong predictive performance, yielding coefficient of determination R2 values of 0.84 and 0.80 and Nash-Sutcliffe efficiency (NSE) values of 0.67 and 0.59 during the calibration and validation phases, respectively. The resulting synthetic streamflow indicated a mean annual discharge of 324.16 m

Indexed as

CHIRPS precipitationHydrological modellingMIKE 11 NAM modelOmo-Gibe River BasinParameter regionalizationSynthetic streamflow generationUngauged catchments

Identifiers

PMID42457773
PMCPMC13550609

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.