Cargando…

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

The mutual relationship among daily averaged PM(10), PM(2.5), and NO(2) concentrations in two megacities (Seoul and Busan) connected by the busiest highway in Korea was investigated using an artificial neural network model (ANN)-sigmoid function, for a novel coronavirus (COVID-19) pandemic period fr...

Descripción completa

Detalles Bibliográficos
Autores principales:	Choi, Soo-Min, Choi, Hyo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737941/ https://www.ncbi.nlm.nih.gov/pubmed/36498408 http://dx.doi.org/10.3390/ijerph192316338

Ejemplares similares

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

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

Ambient PM(2.5) and O(3) pollution and health impacts in Iranian megacity
por: Rashidi, Rajab, 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)

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

Statistical Analysis of the Impact of COVID-19 on PM(2.5) Concentrations in Downtown Quito during the Lockdowns in 2020
por: Hernandez, Wilmar, et al.
Publicado: (2022)

An application of probability density function for the analysis of PM2.5 concentration during the COVID-19 lockdown period
por: Mishra, Gaurav, et al.
Publicado: (2021)

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)

Impact of the 2020 COVID-19 lockdown on NO(2) and PM(10) concentrations in Berlin, Germany
por: Schatke, Mona, et al.
Publicado: (2022)

Global, continental, and national variation in PM(2.5), O(3), and NO(2) concentrations during the early 2020 COVID-19 lockdown
por: He, Chao, 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)

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

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)

PM(2.5) emissions, concentrations and air quality index during the COVID-19 lockdown()
por: Rojas, Néstor Y., et al.
Publicado: (2021)

Impact of COVID-19 lockdown on NO(2), O(3), PM(2.5) and PM(10) concentrations and assessing air quality changes in Baghdad, Iraq
por: Hashim, Bassim Mohammed, et al.
Publicado: (2021)

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)

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)

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)

Comparison of PM(2.5) and CO(2) Concentrations in Large Cities of China during the COVID-19 Lockdown
por: Liu, Chuwei, et al.
Publicado: (2022)

Impact of Covid-19 partial lockdown on PM(2.5), SO(2), NO(2), O(3), and trace elements in PM(2.5) in Hanoi, Vietnam
por: Nguyen, Thi Phuong Mai, et al.
Publicado: (2021)

PM(2.5) Concentration Exposure over the Belt and Road Region from 2000 to 2020
por: Li, Shenxin, et al.
Publicado: (2022)

PM(2.5) and PM(10) during COVID-19 lockdown in Kuwait: Mixed effect of dust and meteorological covariates
por: Al-Hemoud, Ali, et al.
Publicado: (2021)

PM10, PM2.5, PM1, and PM0.1 resuspension due to human walking
por: Benabed, Ahmed, et al.
Publicado: (2022)

Opposite impact of emission reduction during the COVID-19 lockdown period on the surface concentrations of PM(2.5) and O(3) in Wuhan, China()
por: Yin, Hao, et al.
Publicado: (2021)

Investigation into the Effect of Atmospheric Particulate Matter (PM(2.5) and PM(10)) Concentrations on GPS Signals
por: Lau, Lawrence, et al.
Publicado: (2017)

Reducing PM(10) and PM(2.5) Concentrations in a Subway Station by Changing the Diffuser Arrangement
por: Kim, Seong-Gyu, et al.
Publicado: (2022)

Fusion of Environmental Sensing on PM(2.5) and Deep Learning on Vehicle Detecting for Acquiring Roadside PM(2.5) Concentration Increments
por: Wang, Wen-Cheng Vincent, et al.
Publicado: (2020)

Characterization and Cytotoxicity of PM(<0.2), PM(0.2–2.5) and PM(2.5–10) around MSWI in Shanghai, China
por: Cao, Lingling, et al.
Publicado: (2015)

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

Strict lockdown measures reduced PM(2.5) concentrations during the COVID-19 pandemic in Kolkata, India
por: Biswas, Tanmoy, et al.
Publicado: (2022)

Variations and Source Apportionment of PM(2.5) and PM(10) Before and During COVID-19 Lockdown Phases in Delhi, India
por: Fatima, Sadaf, et al.
Publicado: (2022)

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)

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)

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)

Changes in air pollution due to COVID-19 lockdowns in 2020: Limited effect on NO(2), PM(2.5), and PM(10) annual means compared to the new WHO Air Quality Guidelines
por: do Nascimento, Cleonilde Maria, et al.
Publicado: (2022)

Modelling the effect of local and regional emissions on PM(2.5) concentrations in Wuhan, China during the COVID-19 lockdown
por: BAI, Yong-Qing, et al.
Publicado: (2021)

The Environmental Story During the COVID-19 Lockdown: How Human Activities Affect PM2.5 Concentration in China?
Publicado: (2020)

The concentration-response relation between PM(2.5) and daily deaths.
por: Schwartz, Joel, et al.
Publicado: (2002)

Cannot write session to /tmp/vufind_sessions/sess_ghser6hlrud4fl0pjd45ev0dit