Evidence map›Paper›PMID 40841397›Full record

ArticleScientific data2025

Optical emission inventory of carbonaceous aerosol from the residential sector in China.

Lu Zhang, Yaojie Li, Xinlei Liu, Jin Li, Guofeng Shen, Shu Tao

Abstract read
In one paragraph

Article in Scientific data, 2025. 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. 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

6 authors.

Lu ZhangLaboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0003-3469-6096
Yaojie LiLaboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Xinlei LiuLaboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Jin LiLaboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Guofeng ShenLaboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China. gfshen12@pku.edu.cn.ORCID http://orcid.org/0000-0002-7731-5399
Shu TaoLaboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-7374-7063

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2023YFE0112900Yunnan Provincial Science and Technology Department (Yunnan Department of Science and Technology) 202302A0370001
6 · The paper itself

Abstract

The residential sector in China is a major contributor to light-absorbing carbonaceous aerosols, including black carbon and brown carbon, which have significant impacts on climate change. This study developed a province-level inventory of optical emissions of carbonaceous aerosols from the residential sector in China from 1960 to 2019. The inventory was based on activity data from the PKU-GEMS database and absorption emission factors derived from laboratory-based combustion experiments, which reduced uncertainties associated with traditional mass-based methods relying on mass absorption efficiency. The dataset provided annual light absorption at the ultraviolet region (370 nm) and the infrared region (880 nm), offering valuable insights into the spatial and temporal trends of optical emissions from residential carbonaceous aerosols. This inventory would support more accurate evaluations of radiative forcing impacts of carbonaceous aerosols.

Identifiers

PMID40841397
PMCPMC12371047

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.