Cargando…

Spatial Variation of the Relationship between PM(2.5) Concentrations and Meteorological Parameters in China

Epidemiological studies around the world have reported that fine particulate matter (PM(2.5)) is closely associated with human health. The distribution of PM(2.5) concentrations is influenced by multiple geographic and socioeconomic factors. Using a remote-sensing-derived PM(2.5) dataset, this paper...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lin, Gang, Fu, Jingying, Jiang, Dong, Wang, Jianhua, Wang, Qiao, Dong, Donglin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532804/ https://www.ncbi.nlm.nih.gov/pubmed/26295046 http://dx.doi.org/10.1155/2015/684618

Ejemplares similares

Spatio-Temporal Variation of PM(2.5) Concentrations and Their Relationship with Geographic and Socioeconomic Factors in China
por: Lin, Gang, et al.
Publicado: (2013)

An ecological analysis of PM(2.5) concentrations and lung cancer mortality rates in China
por: Fu, Jingying, et al.
Publicado: (2015)

Effects of Meteorological Conditions on PM(2.5) Concentrations in Nagasaki, Japan
por: Wang, Jianhua, et al.
Publicado: (2015)

The Relationships between PM(2.5) and Meteorological Factors in China: Seasonal and Regional Variations
por: Yang, Qianqian, et al.
Publicado: (2017)

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

Spatial and Temporal Variations of PM(2.5) and Its Relation to Meteorological Factors in the Urban Area of Nanjing, China
por: Chen, Tao, et al.
Publicado: (2016)

Long-term variations in PM(2.5) concentrations under changing meteorological conditions in Taiwan
por: Cheng, Fang-Yi, et al.
Publicado: (2019)

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)

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

Estimation of PM2.5 Concentrations in China Using a Spatial Back Propagation Neural Network
por: Wang, Weilin, et al.
Publicado: (2019)

Exploring short term spatio-temporal pattern of PM(2.5) and PM(10) and their relationship with meteorological parameters during COVID-19 in Delhi
por: Das, Manob, et al.
Publicado: (2021)

Predicting of Daily PM(2.5) Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China
por: Guo, Qingchun, et al.
Publicado: (2023)

Estimating Regional Spatial and Temporal Variability of PM(2.5) Concentrations Using Satellite Data, Meteorology, and Land Use Information
por: Liu, Yang, et al.
Publicado: (2009)

Temporal and Spatial Heterogeneity of PM(2.5) Related to Meteorological and Socioeconomic Factors across China during 2000–2018
por: Zhang, Xiangxue, et al.
Publicado: (2022)

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

Ensemble-based classification approach for PM2.5 concentration forecasting using meteorological data
por: Saminathan, S., et al.
Publicado: (2023)

PM(2.5) Concentrations Variability in North China Explored with a Multi-Scale Spatial Random Effect Model
por: Zhang, Hang, et al.
Publicado: (2022)

Temporal and Spatial Features of the Correlation between PM(2.5) and O(3) Concentrations in China
por: Chen, Jiajia, et al.
Publicado: (2019)

The spatial spillover effect of higher SO(2) emission tax rates on PM(2.5) concentration in China
por: Wang, Kaifeng, et al.
Publicado: (2023)

Spatial Effects of Digital Transformation, PM(2.5) Exposure, Economic Growth and Technological Innovation Nexus: PM(2.5) Concentrations in China during 2010–2020
por: Ma, Fenfen, et al.
Publicado: (2023)

Spatial Autocorrelation and Temporal Convergence of PM(2.5) Concentrations in Chinese Cities
por: Wang, Huan, et al.
Publicado: (2022)

Contrasting Trends of Surface PM(2.5), O(3), and NO(2) and Their Relationships with Meteorological Parameters in Typical Coastal and Inland Cities in the Yangtze River Delta
por: Lv, Min, et al.
Publicado: (2021)

The spatial heterogeneity of the impact of PM(2.5) on domestic tourism flows in China
por: Zhu, Nina, et al.
Publicado: (2022)

Effects of transboundary PM(2.5) transported from China on the regional PM(2.5) concentrations in South Korea: A spatial panel-data analysis
por: Jun, Myung-Jin, et al.
Publicado: (2023)

Multi-Scale Effects of Meteorological Conditions and Anthropogenic Emissions on PM2.5 Concentrations over Major Cities of the Yellow River Basin
por: Zhang, Jiejun, et al.
Publicado: (2022)

The association of meteorological parameters and AirQ+ health risk assessment of PM(2.5) in Ratchaburi province, Thailand
por: Kliengchuay, Wissanupong, et al.
Publicado: (2022)

Seasonal correlation of meteorological parameters and PM(2.5) with the COVID-19 confirmed cases and deaths in Baghdad, Iraq
por: Hashim, Bassim Mohammed, et al.
Publicado: (2023)

Spatio-Temporal Variations of Satellite-Based PM(2.5) Concentrations and Its Determinants in Xinjiang, Northwest of China
por: Wang, Wei, et al.
Publicado: (2020)

The impact of meteorological factors and PM2.5 on COVID-19 transmission
por: Zhou, Nan, et al.
Publicado: (2022)

Effects of Meteorological Parameters and PM(10) on the Incidence of Hand, Foot, and Mouth Disease in Children in China
por: Huang, Ruixue, et al.
Publicado: (2016)

Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China
por: Li, Zeng, et al.
Publicado: (2017)

Detecting the causality influence of individual meteorological factors on local PM(2.5) concentration in the Jing-Jin-Ji region
por: Chen, Ziyue, et al.
Publicado: (2017)

Ingestion of GNSS-Derived ZTD and PWV for Spatial Interpolation of PM(2.5) Concentration in Central and Southern China
por: Wei, Pengzhi, et al.
Publicado: (2021)

Spatial interpolation of regional PM(2.5) concentrations in China during COVID-19 incorporating multivariate data
por: Wei, Pengzhi, et al.
Publicado: (2023)

Spatial Variation of the Effect of Multidimensional Urbanization on PM(2.5) Concentration in the Beijing–Tianjin–Hebei (BTH) Urban Agglomeration
por: Huang, Qianyuan, et al.
Publicado: (2021)

Comparison of Ground-Based PM(2.5) and PM(10) Concentrations in China, India, and the U.S.
por: Yang, Xingchuan, et al.
Publicado: (2018)

Independent association between meteorological factors, PM2.5, and seasonal influenza activity in Hangzhou, Zhejiang province, China
por: Lau, Steven Yuk‐Fai, et al.
Publicado: (2020)

Influencing Factors of PM(2.5) Pollution: Disaster Points of Meteorological Factors
por: Sun, Ruiling, et al.
Publicado: (2019)

The impact of meteorological factors and PM2.5 on COVID-19 transmission – CORRIGENDUM
por: Zhou, Nan, et al.
Publicado: (2022)

Collaboration between meteorology and public health: Predicting the dengue epidemic in Guangzhou, China, by meteorological parameters
por: Chen, Jing, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_cap2hnv83fq816a73tj46lg3uf