Evidence map›Paper›PMID 40594304›Full record

ArticleScientific reports2025

GIS-driven evaluation of energy infrastructure vulnerability to coastal inundation in Qatar.

Abderraouf Hzami, Sa'd Shannak, Esmat Zaidan, Azzam Abu-Rayash

Abstract read
PubMed Full text at PMC Publisher
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

4 authors.

Abderraouf HzamiDivision of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Sa'd ShannakQatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Doha, Qatar.
Esmat ZaidanCollege of Public Policy, Hamad Bin Khalifa University, Doha, Qatar.
Azzam Abu-RayashDivision of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar. aaburayash@hbku.edu.qa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rising average sea levels and increasingly extreme conditions pose serious threats to low-lying coastal areas due to various coastal hazards. These include the permanent marine submersion of land due to higher average sea levels, more frequent or intense coastal flooding, and increased coastal erosion. Climate drivers such as future Sea Level Rise (SLR) and marine storm events will significantly increase the damage on coastal energy infrastructure. This research assesses coastal energy infrastructure and consumption of the population at risk under the different SLR scenarios. These scenarios are modeled using Coupled GIS and Machine Learning models, utilizing elevation data points and monthly energy data of 2019. Preliminary result shows that in 2030, The coastal inundation maps will cover 6.6 km

Indexed as

Climate adaptation strategiesCoastal inundation riskEnergy infrastructure resilienceGISSea level rise impactSustainable energy security

Identifiers

PMID40594304
PMCPMC12218345

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.