Evidence map›Paper›PMID 42081580›Full record

ArticleEnvironmental science & technology2026

Mobile Monitoring and Land Use Regression Modeling of Ultrafine Particle Spatial Distribution in Beijing, China, during August 2022-July 2023.

Xin Meng, Muwu Xu, Jianzhao Bi, Yingfeng Gao, Shuyu Jia, Seokho Choi, Yifei Wei, Yi Zhang, Joel D Kaufman, Qi Chen and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental science & technology, 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

16 authors.

Xin MengMEEKL-AERM, College of Environmental Sciences and Engineering, Institute of Tibetan Plateau, and Center for Environment and Health, Peking University, Beijing 100871, China.
Muwu XuDepartment of Epidemiology and Environmental Health, University at Buffalo, Buffalo, New York 14214, United States.
Jianzhao BiDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.
Yingfeng GaoMEEKL-AERM, College of Environmental Sciences and Engineering, Institute of Tibetan Plateau, and Center for Environment and Health, Peking University, Beijing 100871, China.
Shuyu JiaMEEKL-AERM, College of Environmental Sciences and Engineering, Institute of Tibetan Plateau, and Center for Environment and Health, Peking University, Beijing 100871, China.
Seokho ChoiMEEKL-AERM, College of Environmental Sciences and Engineering, Institute of Tibetan Plateau, and Center for Environment and Health, Peking University, Beijing 100871, China.ORCID 0009-0006-0728-4562
Yifei WeiMEEKL-AERM, College of Environmental Sciences and Engineering, Institute of Tibetan Plateau, and Center for Environment and Health, Peking University, Beijing 100871, China.
Yi ZhangMEEKL-AERM, College of Environmental Sciences and Engineering, Institute of Tibetan Plateau, and Center for Environment and Health, Peking University, Beijing 100871, China.
Joel D KaufmanDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0003-4174-9037
Qi ChenState Key Laboratory of Regional Environment and Sustainability, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.ORCID 0000-0003-3559-8914
Jin WuState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing 100084, China.
Jingkun JiangState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing 100084, China.ORCID 0000-0001-6172-190X
Zirui LiuState Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.ORCID 0000-0002-1939-9715
Min HuState Key Laboratory of Regional Environment and Sustainability, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.ORCID 0000-0003-4816-9123
Meng WangDepartment of Epidemiology and Environmental Health, University at Buffalo, Buffalo, New York 14214, United States.ORCID 0000-0003-2085-6191
Jicheng GongMEEKL-AERM, College of Environmental Sciences and Engineering, Institute of Tibetan Plateau, and Center for Environment and Health, Peking University, Beijing 100871, China.ORCID 0000-0002-8943-8804

Funding

Air Pollution, Coronary Events and Atherosclerotic Progression in a Susceptible PopulationR01ES031986 · NIEHS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WANG, MENG · 2021 to 2025
$1.6M
NIEHS NIH HHS R01 ES031986
6 · The paper itself

Abstract

Ultrafine particles (UFP, <100 nm) may pose more significant health risks compared to larger particulate matter due to higher specific surface area and potential for deposition throughout the respiratory system. However, their spatial distribution remains poorly characterized, particularly in Asian megacities such as Beijing with high population density and diverse emission sources. We developed a high-resolution land use regression (LUR) model to predict UFP spatial distribution in Beijing during August 2022-July 2023, using stop-and-go mobile monitoring data from 164 sites. Time adjustments were validated and applied to adjust short-term observations to 1-year average concentrations. Four modeling approaches were compared to address high-dimensional covariates, with linear regularization showing the best performance (

Indexed as

Environmental MonitoringParticulate MatterAir PollutantsBeijingParticle SizeRegression AnalysisAir PollutantsParticulate Matterexposure assessmentland use regression modelmobile monitoringtime adjustmentultrafine particles

Identifiers

PMID42081580
PMCPMC13333104

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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.