Evidence map›Paper›PMID 39397947›Full record

ArticleHeliyon2024

Using RS and GIS for risk management of natural disasters consequences: The case of cultural heritage in Jinan city, China.

Guanyu Wei, Gab-Soo Han, Xiaoxia Lang

Abstract read
In one paragraph

Article in Heliyon, 2024. 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. Emergency medical rescue in debris flow disaster.American journal of medicine open · 2026
    Review
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.

Guanyu WeiDepartment of Environmental Landscape Architecture, College of Life Science, Gangneung-Wonju National University, Gangneung, 25457, South Korea.
Gab-Soo HanDepartment of Environmental Landscape Architecture, College of Life Science, Gangneung-Wonju National University, Gangneung, 25457, South Korea.
Xiaoxia LangDepartment of Environmental Design, College of Art and Design, Qingdao University of Technology, Qingdao, 266033, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The preservation of cultural heritage is confronted with significant challenges due to its extensive history and the increasing impact of climate change, particularly natural disasters. Instead of solely investing resources in post-disaster restoration efforts, implementing a proactive risk-management strategy for natural disasters is a more effective approach. This study introduces an analytical and evaluative methodology grounded in remote sensing (RS) and geographic information systems (GIS) to bridge the existing gap in understanding natural disaster risks to cultural heritage sites in Jinan, China. By leveraging a combination of RS data and established methodologies such as the Soil Conservation Service Curve Number, Maximum entropy, and the Revised Universal Soil Loss Equation, we conducted an in-depth analysis of the risks posed by various disasters including floods, landslides, earthquakes, and erosion. Furthermore, GIS and the Analytic Hierarchy Process were utilized to facilitate the risk assessment. Detailed disaster risk maps based on these assessments were produced. Our findings revealed that approximately 28.95 % of Jinan's cultural heritage sites face moderate to severe risks from natural disasters. Cultural heritage sites in Changqing District, Gangcheng District, and Laiwu District are particularly vulnerable to such calamities. These outcomes serve as crucial references for enhancing the safeguarding and management of cultural heritage, while informing disaster prevention and mitigation strategies in Jinan.

Indexed as

AHPCultural heritageGISNatural hazardsRisk map

Identifiers

PMID39397947
PMCPMC11471172

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.