Evidence map›Paper›PMID 41922480›Full record

ArticleScientific reports2026

Optimising load allocation and reduction strategies for sewage treatment plants in urban tropical rivers: Modelling with QUAL2K and GIS.

Julieth Joseph Balilemwa, Nor Rohaizah Jamil, Noorain Mohd Isa, Zaki Zainudin, Syahida Sapia'e

Abstract read
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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.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Julieth Joseph BalilemwaWater Resources Laboratory, Department of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, Seri Kembangan, Selangor, Malaysia.
Nor Rohaizah JamilWater Resources Laboratory, Department of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, Seri Kembangan, Selangor, Malaysia. norrohaizah@upm.edu.my.
Noorain Mohd IsaWater Resources Laboratory, Department of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, Seri Kembangan, Selangor, Malaysia.
Zaki ZainudinCentre for Water Research and Analysis, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, 43450, Selangor, Malaysia.
Syahida Sapia'eWater Resources Laboratory, Department of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, Seri Kembangan, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discharge of pollutant loads from sewage treatment plants (STPs) significantly impacts the quality of tropical rivers. The present study evaluates the impact of projected increases in population equivalent (PE) from STPs on the selected water quality parameters (WQP) of the Kuang River basin (KRB) under the influence of climate stress and advanced treatment. Using the QUAL2K model, discharge was simulated, and scenarios were based on population growth rate (PGR) for the next 10 years, with Low (2.1% PGR), Medium (2.2% PGR) and High (2.5% PGR). The findings indicate that elevated PE affects TSS, NH₃-N, and BOD₅ concentrations with a p-value < 0.05 between the seasons. Under high PGR scenarios in the dry season, concentrations for BOD₅ were 7.82 mg/L, 3.02 mg/L for NH₃-N, and 48 mg/L for TSS. This study suggests reducing pollution loads from STPs by 98.88% (35.59 and 7881.5 kg/day) for BOD₅, 99.44% for NH₃-N (7.16 and 1585.27 kg/day), and 83.93% for TSS (35.25 and 1303.08 kg/day) to meet class II. Additionally, the model's performance was validated with flow calibration results showing R

Indexed as

Climate changePoint sourceSeasonalSpatial analysisTMDLUrban growth

Identifiers

PMID41922480
PMCPMC13469584

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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.