Cargando…

Quantifying the Spatiotemporal Heterogeneity of PM(2.5) Pollution and Its Determinants in 273 Cities in China

Fine particulate matter (PM(2.5)) pollution brings great negative impacts to human health and social development. From the perspective of heterogeneity and the combination of national and urban analysis, this study aims to investigate the variation patterns of PM(2.5) pollution and its determinants,...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yang, Li, Qin, Chunyan, Li, Ke, Deng, Chuxiong, Liu, Yaojun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859010/ https://www.ncbi.nlm.nih.gov/pubmed/36673938 http://dx.doi.org/10.3390/ijerph20021183

Ejemplares similares

Impact analysis of meteorological variables on PM(2.5) pollution in the most polluted cities in China
por: Wang, Ju, et al.
Publicado: (2023)

Spatiotemporal Heterogeneity and the Key Influencing Factors of PM(2.5) and PM(10) in Heilongjiang, China from 2014 to 2018
por: Fu, Longhui, et al.
Publicado: (2022)

Meteorological Influences on Spatiotemporal Variation of PM(2.5) Concentrations in Atmospheric Pollution Transmission Channel Cities of the Beijing–Tianjin–Hebei Region, China
por: Wang, Suxian, et al.
Publicado: (2022)

Pollution Characteristics, Transport Pathways, and Potential Source Regions of PM(2.5) and PM(10) in Changchun City in 2018
por: Meng, Fanhao, et al.
Publicado: (2020)

Spatial and Temporal Distribution of PM(2.5) Pollution in Xi’an City, China
por: Huang, Ping, et al.
Publicado: (2015)

Influence of exposure differences on city-to-city heterogeneity in PM(2.5)-mortality associations in US cities
por: Baxter, Lisa K., et al.
Publicado: (2017)

Exploring the Spatiotemporal Evolution and Socioeconomic Determinants of PM2.5 Distribution and Its Hierarchical Management Policies in 366 Chinese Cities
por: Zhu, Minli, et al.
Publicado: (2022)

Effect of PM(2.5) pollution on perinatal mortality in China
por: Li, Guangqin, et al.
Publicado: (2021)

Spatiotemporal characteristics and socioeconomic factors of PM(2.5) heterogeneity in mainland China during the COVID-19 epidemic
por: Jia, Hongjie, et al.
Publicado: (2023)

An Ensemble Spatiotemporal Model for Predicting PM(2.5) Concentrations
por: Li, Lianfa, et al.
Publicado: (2017)

PM(2.5) Pollutant in Asia—A Comparison of Metropolis Cities in Indonesia and Taiwan
por: Kusuma, Widya Liadira, et al.
Publicado: (2019)

Value Assessment of Health Losses Caused by PM(2.5) Pollution in Cities of Atmospheric Pollution Transmission Channel in the Beijing–Tianjin–Hebei Region, China
por: Xie, Zhixiang, et al.
Publicado: (2019)

Assessing the Public Health Economic Loss from PM(2.5) Pollution in ‘2 + 26’ Cities
por: Wang, Yifeng, et al.
Publicado: (2022)

How Did Distribution Patterns of Particulate Matter Air Pollution (PM(2.5) and PM(10)) Change in China during the COVID-19 Outbreak: A Spatiotemporal Investigation at Chinese City-Level
por: Fan, Zhiyu, et al.
Publicado: (2020)

Heterogeneity and the determinants of PM(2.5) in the Yangtze River Economic Belt
por: Xia, Siyou, et al.
Publicado: (2022)

Impact of Land Use on PM(2.5) Pollution in a Representative City of Middle China
por: Yang, Haiou, et al.
Publicado: (2017)

Baseline Investigation on Residential PM(2.5) Pollution of General Living Scenarios — 12 Cities, China, 2018
por: Fan, Lin, et al.
Publicado: (2020)

Effect of Different Pollution Parameters and Chemical Components of PM(2.5) on Health of Residents of Xinxiang City, China
por: Wang, Shuang, et al.
Publicado: (2021)

Spatiotemporal Associations between PM(2.5) and SO(2) as well as NO(2) in China from 2015 to 2018
por: Li, Ke, et al.
Publicado: (2019)

Do green spaces affect the spatiotemporal changes of PM(2.5) in Nanjing?
por: Chen, Jiquan, et al.
Publicado: (2016)

Spatiotemporal Changes in PM(2.5) and Their Relationships with Land-Use and People in Hangzhou
por: Tian, Li, et al.
Publicado: (2018)

Spatiotemporal Patterns of Ground Monitored PM(2.5) Concentrations in China in Recent Years
por: Li, Junming, et al.
Publicado: (2018)

Spatio-Temporal Heterogeneity of the Relationships Between PM(2.5) and Its Determinants: A Case Study of Chinese Cities in Winter of 2020
por: Yang, Lu, et al.
Publicado: (2022)

Spatiotemporal Variations of Indoor PM(2.5) Concentrations in Nanjing, China
por: Shao, Zhijuan, et al.
Publicado: (2019)

PM(2.5) air pollution contributes to the burden of frailty
por: Lee, Wei-Ju, et al.
Publicado: (2020)

Magnetic Fractions of PM(2.5), PM(2.5–10), and PM(10) from Coal Fly Ash as Environmental Pollutants
por: Fomenko, Elena V., et al.
Publicado: (2021)

Pollution Level and Health Risk Assessment of PM(2.5)-Bound Metals in Baoding City Before and After the Heating Period
por: Liu, Yixuan, et al.
Publicado: (2018)

Urban air pollution: a representative survey of PM(2.5) mass concentrations in six Brazilian cities
por: de Miranda, Regina Maura, et al.
Publicado: (2011)

A city-level analysis of PM(2.5) pollution, climate and COVID-19 early spread in Spain
por: Briz-Redón, Álvaro, et al.
Publicado: (2022)

The Effect of Transportation and Wildfires on the Spatiotemporal Heterogeneity of PM(2.5) Mass in the New York-New Jersey Metropolitan Statistical Area
por: Singh, Subraham, et al.
Publicado: (2022)

Does PM2.5 (Pollutant) Reduce Firms’ Innovation Output?
por: Xiong, Zhiqiao, et al.
Publicado: (2023)

Spatiotemporal Evolution and Driving Forces of PM(2.5) in Urban Agglomerations in China
por: Yang, Huilin, et al.
Publicado: (2023)

Air quality during the COVID-19: PM(2.5) analysis in the 50 most polluted capital cities in the world()
por: Rodríguez-Urrego, Daniella, et al.
Publicado: (2020)

Reduction in concentration of PM(2.5) in India’s top most polluted cities: with special reference to post-lockdown period
por: Roy, Subham, et al.
Publicado: (2021)

Impacts of Industrial Restructuring and Technological Progress on PM(2.5) Pollution: Evidence from Prefecture-Level Cities in China
por: Xu, Ning, et al.
Publicado: (2021)

Air pollution particulate matter (PM2.5) prediction in South African cities using machine learning techniques
por: Morapedi, Tshepang Duncan, et al.
Publicado: (2023)

PM(2.5) Spatiotemporal Variations and the Relationship with Meteorological Factors during 2013-2014 in Beijing, China
por: Huang, Fangfang, et al.
Publicado: (2015)

The unidirectional causality influence of factors on PM(2.5) in Shenyang city of China
por: Yang, Hongmei, et al.
Publicado: (2020)

Maternal exposure to air pollutant PM(2.5) and PM(10) during pregnancy and risk of congenital heart defects
por: Zhang, Bin, et al.
Publicado: (2016)

Exploring the convergence patterns of PM2.5 in Chinese cities
por: Wang, Yan, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_p1rd9kodanrh4ch30fffu15unm