Evidence map›Paper›PMID 39939332›Full record

ArticleScientific reports2025

Urban water supply risks assessment under tropical climate.

Shahriar Shams, Nabisab Mujawar Mubarak, Nur Aqeelah Binti Ismail, Md Munir Hayet Khan, Abdullah Al-Mamun, Amimul Ahsan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Shahriar ShamsCivil Engineering Programme Area, Faculty of Engineering, Universiti Teknologi Brunei, Jalan Tugku Link, Gadong, BE 1410, Brunei Darussalam. shams.shahriar@utb.edu.bn.
Nabisab Mujawar MubarakChemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan, BE1410, Brunei Darussalam. mubarak.yaseen@gmail.com.
Nur Aqeelah Binti IsmailCivil Engineering Programme Area, Faculty of Engineering, Universiti Teknologi Brunei, Jalan Tugku Link, Gadong, BE 1410, Brunei Darussalam.
Md Munir Hayet KhanFaculty of Engineering and Quantity Surveying (FEQS), INTI International University, Nilai, Negeri Sembilan, Malaysia.
Abdullah Al-MamunDepartment of Civil Engineering, Faculty of Engineering, International Islamic University Malaysia (IIUM), Kuala Lumpur, 53100, Malaysia.
Amimul AhsanDepartment of Civil and Environmental Engineering, Islamic University of Technology, Gazipur, 1704, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The urban water supply system in tropical countries faces various physical risks, including pipe failures due to aging, material type, soil conditions, flooding, extreme weather events, and traffic loads. This study focuses on urban water supply risks for eight zones of Brunei-Muara district. A risk assessment using a data-driven matrix reveals Zones D2 and D6 as very high-risk areas, experiencing monthly average leaks of 880 and 471, respectively. These zones, characterized by low elevation and susceptibility to flooding during heavy rainfall, pose significant threats to water quality and public health due to the potential contamination of drinking water. Analysis of pipe data highlights that pipes with a diameter of 100 mm are more prone to leaks, with ductile iron pipes being particularly susceptible to failures. Brunei is actively exploring the implementation of digitalization and advanced technologies such as the application of GIS, deploying real-time water quality sensors, and real-time pressure monitoring integrated with SCADA systems to mitigate these risks.

Indexed as

FailureLeaksPhysical riskPipe networkWater supply

Identifiers

PMID39939332
PMCPMC11822187

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.