Evidence map›Paper›PMID 40750961›Full record

ArticleScientific data2025

Gridded mobile source emissions with multiple processes and pollutants from 2011 to 2020 in China.

Junchao Zhao, Zhaofeng Lv, Zhenyu Luo, Zhining Zhang, Haitong Zhe Sun, Wenxin Cao, Wen Yi, Yongyue Wang, Hezhong Tian, Yan Ding and 2 more

Abstract read
PubMed Full text at PMC Publisher
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

12 authors.

Junchao ZhaoState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, 100084, China.
Zhaofeng LvState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, 100084, China.
Zhenyu LuoState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, 100084, China.
Zhining ZhangState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, 100084, China.
Haitong Zhe SunCentre for Sustainable Medicine (CoSM), National University of Singapore, Singapore, 119228, Singapore.
Wenxin CaoState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, 100084, China.
Wen YiState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, 100084, China.
Yongyue WangState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, 100084, China.
Hezhong TianState Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China.ORCID http://orcid.org/0000-0002-3638-8495
Yan DingKey Laboratory of Vehicle Emission Control and Simulation of Ministry of Ecology and Environment, Vehicle Emission Control Center, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China. dingyan@craes.org.cn.
Kebin HeState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, 100084, China.
Huan LiuState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, 100084, China. liu_env@tsinghua.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42325505National Natural Science Foundation of China (National Science Foundation of China) 42405097
6 · The paper itself

Abstract

Accurate and comprehensive estimation of mobile source (MS) emissions is essential for air quality management and atmospheric research. However, existing emission inventories often lack sufficient coverage of MS categories, emerging pollutants, and newly developed model parameterizations. Here, we present the Gridded Mobile-source Emission Dataset (GMED), a model-ready emission inventory with detailed source classification and multi-pollutant coverage. GMED provides monthly emissions from 2011 to 2020 at a spatial resolution of 36 km × 36 km, covering eight MS categories and including both tailpipe and non-exhaust emissions. It incorporates several methodological improvements and integrates localized measurements from multiple sources, including emission factors, organic compound speciation, spatiotemporal proxies, and activity data. Validation involves comparisons with established inventories and cross-checks of key model parameters, both showing good agreement across multiple metrics. GMED outputs also align well with high-resolution emission inventories derived from big traffic data. As a validated, long-term dataset, GMED supports emission assessments, air quality modelling, and policy evaluation, helping to fill a critical gap in differentiated, multi-year MS emission inventories.

Identifiers

PMID40750961
PMCPMC12316859

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.