Evidence map›Paper›PMID 42337314›Full record

ArticleScientific reports2026

Assessment of climate variability impacts on water quality using SPI and GIS approaches in the Mubuku River catchment, Uganda.

Abdirisak Mohamed Yousuf, Deepa Krishnan, Zubeda Ukundimana

Abstract read
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.

Abdirisak Mohamed YousufWater Resources Engineering, Department of Civil Engineering, Kampala International University, Western Campus, Ishaka, Uganda.
Deepa KrishnanDepartment of Civil Engineering, Kampala International University, Western Campus, Ishaka, Uganda. kdeepa@kiu.ac.ug.
Zubeda UkundimanaDepartment of Civil Engineering, Kampala International University, Western Campus, Ishaka, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Mubuku River catchment in western Uganda is highly sensitive to hydroclimatic variability, yet quantitative evidence linking rainfall anomalies to water quality degradation remains limited. This study presents a decadal (2014-2024) integrated assessment combining the Standardized Precipitation Index (SPI), rainfall deviation analysis, GIS-based spatial interpolation, and laboratory evaluation of physicochemical and microbial parameters. Results reveal significant temporal and spatial deterioration in water quality, with Total Dissolved Solids increasing by ~35%, hardness rising from 300 to 400 mg/L, and nitrate concentrations exceeding 50 mg/L at multiple sites. Microbial contamination also intensified, with fecal coliform counts increasing from 50 to 75 CFU/100 mL, surpassing WHO permissible limits. SPI analysis identified recurrent drought years (2014, 2016, 2023, 2024) alongside high-runoff periods, demonstrating a dual vulnerability framework where both precipitation deficits and excesses exacerbate contamination. Spatial analysis highlighted critical hotspots (WS4, WS6, WS8), where pollutant concentrations were 40-60% higher than the catchment average. The findings further indicate that drought conditions enhance mineral dissolution and baseflow contamination, while wet periods accelerate runoff-driven pollutant transport from agricultural and urban sources. This study contributes a novel climate-water quality linkage framework for tropical catchments by integrating hydroclimatic indices with spatial water quality assessment. The results provide actionable insights for targeted interventions, including hotspot-based management, seasonal regulation strategies, and improved wastewater control, to enhance water security and climate resilience.

Indexed as

Climate variabilityGISMubuku catchmentSPIWater contaminationWQI

Identifiers

PMID42337314
PMCPMC13578328

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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.