Evidence map›Paper›PMID 37576270›Full record

ArticleHeliyon2023

Assessing coastal vulnerability and land use to sea level rise in Jeddah province, Kingdom of Saudi Arabia.

Abdulrazak H Almaliki, Bilel Zerouali, Celso Augusto Guimarães Santos, Abdulrhman A Almaliki, Richarde Marques da Silva, Sherif S M Ghoneim, Enas Ali

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Abdulrazak H AlmalikiDepartment of Civil Engineering, College of Engineering, Taif University, P.O. BOX 11099, Taif 21944, Saudi Arabia.
Bilel ZeroualiVegetal Chemistry-Water-Energy Laboratory, Department of Hydraulic, Faculty of Civil Engineering and Architecture, Hassiba Benbouali, University of Chlef, B.P. 78C, Ouled Fares, 02180, Chlef, Algeria.
Celso Augusto Guimarães SantosDepartment of Civil and Environmental Engineering, Federal University of Paraíba, 58051-900 João Pessoa, Paraíba, Brazil.
Abdulrhman A AlmalikiDepartment of Computer Science, Swansea University, Swansea, Wales, UK.
Richarde Marques da SilvaDepartment of Geoscience, Federal University of Paraíba, 58051-900 João Pessoa, Paraíba, Brazil.
Sherif S M GhoneimDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. BOX 11099, Taif 21944, Saudi Arabia.
Enas AliFaculty of Engineering and Technology, Future University in Egypt, New Cairo 11835, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sea level rise is one of the most serious outcomes of increasing temperatures, leading to coastal flooding, beach erosion, freshwater contamination, loss of coastal habitats, increased soil salinity, and risk of damage to coastal infrastructures. This study estimates the vulnerability to inundation for 2100 in coastal zones in Jeddah Province, Kingdom of Saudi Arabia, under various sea level rise (SLR) scenarios of 1, 2, 5, and 10 m. The predicted flooding was estimated using a combination of factors, including SLR, the bathtub model, digital elevation model, climate scenarios, and land use and land cover. The climate scenarios used were Representative Concentration Pathway (RCP) scenarios 1.9, 2.6, 4.5, and 8.5. The results of the SLR scenarios of 1, 2, 5, and 10 m revealed that 1.6, 4.7, 14.9, and 30.6% (or 88, 214, 679, 1398 km

Indexed as

Decision-makersEight-side ruleFlooding modelingInfrastructuresInundatedNatural hazardsSea level predictedSustainable development

Identifiers

PMID37576270
PMCPMC10415659

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.