Evidence map›Paper›PMID 40624147›Full record

ArticleScientific reports2025

High resolution multiple scenario simulations of future extreme sea levels in hong kong and socioeconomic risks.

Zhang Chen, Sicheng Jiang, Xindan Liang, Hongsheng Zhang

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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zhang ChenDepartment of Geography, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China.
Sicheng JiangDepartment of Geography, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China.
Xindan LiangDepartment of Geography, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China.
Hongsheng ZhangDepartment of Geography, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China. zhanghs@hku.hk.

Funding

Croucher Foundation CAS22902/CAS22HU01National Natural Science Foundation of China W2412136Research Grants Council (RGC) of Hong Kong, China HKU27602020, HKU17613022
6 · The paper itself

Abstract

Extreme sea levels (ESLs) induce significant risks to Hong Kong. With climate change, the risks will be amplified, while existing studies have not provided fine-grained simulations of Hong Kong's future ESL exposure and its socio-economic risks. Employing a GIS-based coastal flood inundation model, this research integrates a high-resolution Digital Terrain Model (DTM) with datasets of ESL forecasts, demography, economy, infrastructure, and land use to estimate the future ESL risks posed on Hong Kong for 2050 and 2100 under two Representative Concentration Pathways (RCPs): RCP4.5 and RCP8.5. The projections indicate that, under RCP4.5, over 27.66% of the population and 39.52% of the Gross Domestic Product (GDP) will be exposed to ESL after 2050. Under RCP8.5 scenario, the exposed population may surpass 31.21%, with economic exposure estimated at 40.98% of GDP after 2050. Under both RCPs, Hong Kong's ESL-threatened area may range from 8.23 to 11.41%, exposing over 16.09% of the infrastructure to ESL after 2050. Regions in the northwestern Yuen Long, Tuen Mun River Estuary, Rambler Channel coast, Victoria Harbor coast, Shing Mun River, and Tai Po Waterfront have particularly high ESL risks. The findings highlight the need for resilient infrastructure to counteract the long-term risks ESL poses in Hong Kong.

Indexed as

Coastal floodingExtreme sea levelsHigh-resolution digital terrain modelSocio-economic impact projectionsUrban vulnerability

Identifiers

PMID40624147
PMCPMC12234954

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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.