Cargando…

Time trends and persistence in PM(2.5) in 20 megacities: evidence for the time period 2018–2020

The degree of persistence in daily data for PM(2.5) in 20 relevant megacities such as Bangkok, Beijing, Mumbai, Calcutta, Canton, Dhaka, Delhi, Jakarta, London, Los Angeles, Mexico City, Moscow, New York, Osaka. Paris, Sao Paulo, Seoul, Shanghai, Tientsin, and Tokyo is examined in this work. The ana...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bermejo, Lorenzo, Gil-Alana, Luis A., del Río, Marta
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894978/ https://www.ncbi.nlm.nih.gov/pubmed/35978243 http://dx.doi.org/10.1007/s11356-022-22512-z

Ejemplares similares

Exceedances and trends of particulate matter (PM(2.5)) in five Indian megacities
por: Singh, Vikas, et al.
Publicado: (2021)

Artificial Neural Network Modeling on PM(10), PM(2.5), and NO(2) Concentrations between Two Megacities without a Lockdown in Korea, for the COVID-19 Pandemic Period of 2020
por: Choi, Soo-Min, et al.
Publicado: (2022)

Ambient PM(2.5) and O(3) pollution and health impacts in Iranian megacity
por: Rashidi, Rajab, et al.
Publicado: (2022)

Impact of COVID-19 on PM(2.5) Pollution in Fastest-Growing Megacity Dhaka, Bangladesh
por: Sarkar, Showmitra Kumar, et al.
Publicado: (2021)

Atmospheric pollution in the ten most populated US cities. Evidence of persistence
por: Bermejo, Lorenzo, et al.
Publicado: (2021)

Comparison of Phase States of PM(2.5) over Megacities, Seoul and Beijing, and Their Implications on Particle Size Distribution
por: Song, Mijung, et al.
Publicado: (2022)

Respiratory Deposition Dose of PM(2.5) and PM(10) Before, During and After COVID-19 Lockdown Phases in Megacity-Delhi, India
por: Fatima, Sadaf, et al.
Publicado: (2022)

Temperature and precipitation in the US states: long memory, persistence, and time trend
por: Gil-Alana, Luis A., et al.
Publicado: (2022)

Association between ambient PM(2.5) and outpatient visits of children's respiratory diseases in a megacity in Central China
por: Liu, Le, et al.
Publicado: (2022)

Sketch of 2018 dengue outbreak in a megacity, Bangladesh
por: Amin, Mohammad Robed, et al.
Publicado: (2022)

Assessment of temporal shifting of PM(2.5), lockdown effect, and influences of seasonal meteorological factors over the fastest-growing megacity, Dhaka
por: Faisal, Abdullah-Al-, et al.
Publicado: (2022)

Short- and long-term impacts of the COVID-19 epidemic on urban PM(2.5) variations: Evidence from a megacity, Chengdu
por: Jin, Qian, et al.
Publicado: (2023)

Estimating ground-level PM(2.5) using subset regression model and machine learning algorithms in Asian megacity, Dhaka, Bangladesh
por: Islam, Abu Reza Md. Towfiqul, et al.
Publicado: (2023)

Time trends in the burden of stroke and subtypes attributable to PM2.5 in China from 1990 to 2019
por: Chen, Huijing, et al.
Publicado: (2022)

Prediction of PM2.5 time series by seasonal trend decomposition-based dendritic neuron model
por: Yuan, Zijing, et al.
Publicado: (2023)

Time Trends in Ischemic Heart Disease Mortality Attributable to PM(2.5) Exposure in Southeastern China from 1990 to 2019: An Age-Period-Cohort Analysis
por: Wang, Weiwei, et al.
Publicado: (2023)

Relation between PM2.5 pollution and Covid-19 mortality in Western Europe for the 2020–2022 period
por: Renard, Jean-Baptiste, et al.
Publicado: (2022)

Megacities and the Environment
por: Decker, Ethan H., et al.
Publicado: (2002)

Are Megacities Sustainable?
por: Saier, Milton H.
Publicado: (2006)

Are Megacities Sustainable?
por: Saier, Milton H.
Publicado: (2006)

An annual time series of weekly size-resolved aerosol properties in the megacity of Metro Manila, Philippines
por: Stahl, Connor, et al.
Publicado: (2020)

A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990–2018
por: Fassnacht, Fabian Ewald, et al.
Publicado: (2019)

Global, Regional, and Megacity Trends in the Highest Temperature of the Year: Diagnostics and Evidence for Accelerating Trends
por: Papalexiou, Simon Michael, et al.
Publicado: (2018)

Response of PM(2.5)-bound elemental species to emission variations and associated health risk assessment during the COVID-19 pandemic in a coastal megacity
por: Wang, Guochen, et al.
Publicado: (2022)

Cancer mortality in 2020 and its trend analysis in Inner Mongolia during four time periods from 1973 to 2020
por: Hou, Ruili, et al.
Publicado: (2023)

COVID-19 induced lockdown and decreasing particulate matter (PM10): An empirical investigation of an Asian megacity
por: Gayen, Amiya, et al.
Publicado: (2021)

Regional differences in socioeconomic trends: The spatiotemporal evolution from individual cities to a megacity region over a long time series
por: Sun, Zhiming, et al.
Publicado: (2020)

Time trends and survival of marginal zone lymphoma over 25 years in Girona, Spain (1994–2018)
por: Auñón, Carmen, et al.
Publicado: (2023)

Impact of long-term temporal trends in fine particulate matter (PM(2.5)) on associations of annual PM(2.5) exposure and mortality: An analysis of over 20 million Medicare beneficiaries
por: Eum, Ki-Do, et al.
Publicado: (2018)

PM10 and PM2.5 real-time prediction models using an interpolated convolutional neural network
por: Chae, Sangwon, et al.
Publicado: (2021)

Water quality trend assessment in Jakarta: A rapidly growing Asian megacity
por: Luo, Pingping, et al.
Publicado: (2019)

Lockdown induced night-time light dynamics during the COVID-19 epidemic in global megacities
por: Xu, Gang, et al.
Publicado: (2021)

Trends in the Burden of COPD Attributable to Ambient PM(2.5) Exposure in China 1990−2019: An Age-Period-Cohort Analysis
por: Su, Xin, et al.
Publicado: (2023)

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)

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)

Health in Megacities and Urban Areas
por: Krämer, Alexander, et al.
Publicado: (2011)

Predicting the Environmental Conditions of Megacities
por: Sotnikova, E. V., et al.
Publicado: (2022)

Mental Disorders in Megacities: Findings from the São Paulo Megacity Mental Health Survey, Brazil
por: Andrade, Laura Helena, et al.
Publicado: (2012)

Problems of megacities : social inequalities, environmental risk, and urban governance /
Publicado: (1999)

Multi-Model Coupling Water Demand Prediction Optimization Method for Megacities Based on Time Series Decomposition
por: Liu, Xin, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_momauquupb13md9o5jbv5m0c1g