Evidence map›Paper›PMID 33751379›Full record

ArticleEnvironmental science and pollution research international2021

Spatial-temporal characteristics of urban air pollution in 337 Chinese cities and their influencing factors.

De Zhou, Zhulu Lin, Liming Liu, Jialing Qi

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. PMCell biology and toxicology · 2023
    Article
  4. Quantifying the Spatiotemporal Heterogeneity of PMInternational journal of environmental research and public health · 2023
    Article
  5. PMInternational journal of environmental research and public health · 2022
    Article
  6. 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

4 authors.

De ZhouDepartment of Land Resources Management, School of Public Administration, Zhejiang Gongshang University, 18 Xuezheng St., Xiasha University Town, Hangzhou, 310018, China. zhoude520@163.com.ORCID http://orcid.org/0000-0003-3354-7603
Zhulu LinDepartment of Agricultural and Biosystems Engineering, North Dakota State University, Fargo, ND, 58108, USA.
Liming LiuCollege of Land Science and Technology, China Agricultural University, Beijing, 100193, China.
Jialing QiDepartment of Land Resources Management, School of Public Administration, Zhejiang Gongshang University, 18 Xuezheng St., Xiasha University Town, Hangzhou, 310018, China.

Funding

Chinese National Funding of Social Sciences 19BGL283National Natural Science Foundation of China 41301619
6 · The paper itself

Abstract

Urban air pollution, especially in the form of haze events, has become a serious threat to socio-economic development and public health in most developing countries. It is of great importance to assess the frequency of urban air pollution occurrence and its influencing factors. The objective of our study is to develop consistent methodologies for constructing an index system and for assessing the influencing factors of the urban air pollution occurrence based on the Driver-Pressure-State-Impact-Response (DPSIR) framework by incorporating spatial analysis, geographical detector, and geographically weighted regression models. The 27 influencing factors were selected for assessing their influences on the urban air pollution occurrence in 337 Chinese cities. The results indicate that the spatial pattern of the urban air pollution in China was mostly consistent with the Chinese population-based Hu Line. Urban air pollution frequently occurred in North China, Central China, Northeast China, and East China, and displayed strong seasonality. The influencing factors of urban air pollution were complex and diverse, varying from season to season. Influencing factor analysis also shows that the explanatory power between any two influencing factors was greater than that of a single influencing factor of the urban air pollution. Furthermore, most influencing factors had both positive and negative effects and local effects on urban air pollution. Finally, we put forward five suggestions on reducing urban air pollution occurrence, which can provide the basis and reference for the government to make policies on urban air pollution control in China.

Indexed as

Air PollutantsAir PollutionChinaCitiesEnvironmental MonitoringParticulate MatterAir PollutantsParticulate MatterDPSIR frameworkGeographical detectorGeographically weighted regressionInfluencing factorRisk managementUrban air pollution

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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.