Evidence map›Paper›PMID 40469201›Full record

ArticleEco-Environment & Health2025

Spatio-temporal dynamics of human-induced carbon emissions in Southeast Asia (1992-2022) based on nighttime light.

Chaoqing Huang, Qian Wu, Yujie Chen, MinhThu Nguyen, Bin Chen, Song Hong, Chao He

Abstract read
In one paragraph

Article in Eco-Environment & Health, 2025. 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

7 authors.

Chaoqing HuangSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.
Qian WuSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.
Yujie ChenSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.
MinhThu NguyenVietnam Institute of Meteorology Hydrology and Climate Change, Ministry of Natural Resources and Environment, Hanoi 100803, Viet Nam.
Bin ChenFuture Urbanity & Sustainable Environment (FUSE) Lab, Division of Landscape Architecture, Department of Architecture, Faculty of Architecture, The University of Hong Kong, Hong Kong 999077, China.
Song HongSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.
Chao HeNational Science Library (Wuhan), Chinese Academy of Sciences, Wuhan 430071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding regional carbon emissions from human activities, particularly their spatio-temporal patterns, is essential for implementing decarbonization strategies and cultivating a low-carbon economy. This study develops a spatial visualization model to estimate carbon emissions in Southeast Asia using calibrated nighttime light data, with DMSP-OLS (Defense Meteorological Satellite Program Operational Linescan System) and NPP-VIIRS (National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite) standardized through polynomial regression and machine learning to ensure consistency. Emissions in Southeast Asia increased by 2.51 times from 1992 to 2022, shifting from gradual to rapid growth. Validation against Open-source Data Inventory for Anthropogenic CO

Indexed as

Carbon emissionsHuman inducedNighttime lightSoutheast AsiaSpatio-temporal dynamics

Identifiers

PMID40469201
PMCPMC12136777

What OpenQuestion holds

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LicenceCC BY
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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.