Evidence map›Paper›PMID 42666260›Full record

ArticleFrontiers in public health2026

Impacts of urban land-use change on land-surface heat exposure risk: spatial evidence from multi-source remote sensing in Zhejiang Province.

Yuansheng Huang, Weixiao Zhang, Mengmeng Shi, Aisulu Bayalieva, Gulmira Karabalaeva

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Yuansheng HuangSchool of Art Design, Zhejiang Guangsha Vocational and Technical University of Construction, Dongyang, China.
Weixiao ZhangSchool of Art Design, Zhejiang Guangsha Vocational and Technical University of Construction, Dongyang, China.
Mengmeng ShiSchool of Art and Design, Jiangxi Institute of Fashion Technology, Nanchang, China.
Aisulu BayalievaJusup Balasagyn Kyrgyz National University, Bishkek, Kyrgyzstan.
Gulmira KarabalaevaJusup Balasagyn Kyrgyz National University, Bishkek, Kyrgyzstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid urbanization can intensify land-surface heat exposure by replacing natural surfaces with impervious materials, yet the thermal effects of specific land-cover transitions remain insufficiently understood. We integrated land-cover data for 2000, 2010, and 2020 with summer daytime land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) data for 2001, 2010, and 2020 to examine land-use change and LST-derived heat exposure across Zhejiang Province, China. Land-cover transition analysis, historical percentile-based heat-exposure identification, and regression models were applied. From 2000 to 2020, impervious surfaces expanded by 137.94%, with cropland accounting for 86.10% of newly added impervious surfaces. Mean summer daytime LST increased from 28.59 to 30.47 °C, while the 95th percentile increased from 31.45 to 36.09 °C. Newly added impervious surfaces exhibited the greatest warming (4.57 °C) and highest heat-exposure ratio (90.36%), whereas stable forestland showed the lowest warming (1.18 °C) and exposure ratio (9.24%). At the prefecture level, newly added impervious surfaces were positively associated with heat exposure (

Indexed as

Hot TemperatureRemote Sensing TechnologyUrbanizationChinaHumansSeasonsheat exposureimpervious-surface expansionland-surface heat exposure riskland surface temperatureland-use changepublic heat-risk proxy

Identifiers

PMID42666260
PMCPMC13522113

What OpenQuestion holds

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Registered trials

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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.