Evidence map›Paper›PMID 34993793›Full record

ArticleEnvironmental science and pollution research international2022

Spatiotemporal heterogeneity of PM2.5 and its driving difference comparison associated with urbanization in China's multiple urban agglomerations.

Wentian Xu, Yixu Wang, Shuo Sun, Lei Yao, Tong Li, Xuecheng Fu

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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  5. Influencing factors and trend prediction of PMEnvironment, development and sustainability · 2022
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wentian XuCollege of Geography and Environment, Shandong Normal University, Jinan, 250014, China.
Yixu WangCollege of Geography and Environment, Shandong Normal University, Jinan, 250014, China.
Shuo SunCollege of Geography and Environment, Shandong Normal University, Jinan, 250014, China.
Lei YaoCollege of Geography and Environment, Shandong Normal University, Jinan, 250014, China. alex_yaolei@126.com.
Tong LiCollege of Geography and Environment, Shandong Normal University, Jinan, 250014, China.
Xuecheng FuCollege of Geography and Environment, Shandong Normal University, Jinan, 250014, China.

Funding

Humanities and Social Science Foundation of Ministry of Education of China 20YJCZH198National Natural Science Foundation of China 41701206National Natural Science Foundation of China 42171094Natural Science Foundation of Shandong Province ZR2021MD095Natural Science Foundation of Shandong Province ZR2021QD093Postdoctoral Research Foundation of China 2017M622256
6 · The paper itself

Abstract

The development of urban agglomeration further deteriorates the air pollution status arising from urbanization. However, disparities in the urbanization process across different urban agglomerations may shape unique regional air pollution characters, and further complicate its driving mechanism. In this study, 11 urban agglomerations with different urbanization levels in China thus were chosen as the case study areas, to explore the spatiotemporal heterogeneity of PM2.5 and its potential driving difference related to the urbanization process from a multi-urban agglomeration perspective. The ground-monitored PM2.5 data and socioeconomic panel data (2015-2018) were processed using multiple statistical analysis methods, and the main findings of this study can be generated as followed: (1) significant spatial heterogeneity characteristics of PM2.5 pollution were recognized across the study area. And even though obvious improvement in the air quality during the study period, PM2.5 concentration remains at a high level for most of the urban agglomerations. (2) Urbanization process has a substantial contribution to regional PM2.5 pollution, and significant differences of the urbanization factors on PM2.5 concentration across the urban agglomerations assigned with various urbanization levels were emphasized. The significance of this study is to provide insight into the relationship of the urbanization process on PM2.5 pollution in different urban agglomerations and to offer a scientific basis for regional cooperation for air pollution regulation among multiple urban agglomerations.

Indexed as

Air PollutantsAir PollutionChinaCitiesEnvironmental MonitoringParticulate MatterUrbanizationAir PollutantsParticulate MatterDriving differenceOrdinary least square regressionPM2.5Socioeconomic factorsUrban agglomeration

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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.