Cargando…

Exploring short term spatio-temporal pattern of PM(2.5) and PM(10) and their relationship with meteorological parameters during COVID-19 in Delhi

Present study aims to examine the impact of lockdown on spatio-temporal concentration of PM(2.5) and PM(10 -) categorized and recorded based on its levels during pre-lockdown, lockdown and unlock phases while noting the relationship of these levels with meteorological parameters (temperature, wind s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Das, Manob, Das, Arijit, Sarkar, Raju, Mandal, Papiya, Saha, Sunil, Ghosh, Sasanka
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier B.V. 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459164/ https://www.ncbi.nlm.nih.gov/pubmed/34580626 http://dx.doi.org/10.1016/j.uclim.2021.100944

Ejemplares similares

Examining the impact of lockdown (due to COVID-19) on ambient aerosols (PM(2.5)): A study on Indo-Gangetic Plain (IGP) Cities, India
por: Das, Manob, et al.
Publicado: (2020)

Regional scenario of air pollution in lockdown due to COVID-19 pandemic: Evidence from major urban agglomerations of India
por: Das, Manob, et al.
Publicado: (2021)

Influence of Temperature and Relative Humidity on PM(2.5) Concentration over Delhi
por: Vaishali, et al.
Publicado: (2023)

Habitat vulnerability in slum areas of India – What we learnt from COVID-19?
por: Das, Manob, et al.
Publicado: (2021)

Spatio-Temporal Variation of Particulate Matter(PM(2.5)) Concentrations and Its Health Impacts in a Mega City, Delhi in India
por: Gorai, Amit Kumar, et al.
Publicado: (2018)

Elemental Composition and Sources of Fine Particulate Matter (PM(2.5)) in Delhi, India
por: Sharma, S. K., et al.
Publicado: (2023)

Spatial Variation of the Relationship between PM(2.5) Concentrations and Meteorological Parameters in China
por: Lin, Gang, et al.
Publicado: (2015)

Living environment matters: Unravelling the spatial clustering of COVID-19 hotspots in Kolkata megacity, India
por: Das, Arijit, et al.
Publicado: (2021)

Long-Term Variation in Carbonaceous Components of PM(2.5) from 2012 to 2021 in Delhi
por: Sharma, S. K., et al.
Publicado: (2022)

Daily nonaccidental mortality associated with short-term PM(2.5) exposures in Delhi, India
por: Krishna, Bhargav, et al.
Publicado: (2021)

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)

A machine learning-based model to estimate PM2.5 concentration levels in Delhi's atmosphere
por: Kumar, Saurabh, et al.
Publicado: (2020)

Spatio–Temporal Relationship and Evolvement of Socioeconomic Factors and PM(2.5) in China During 1998–2016
por: Yang, Yi, et al.
Publicado: (2019)

Association of ambient PM(2.5) concentration with tuberculosis reactivation diseases—an integrated spatio-temporal analysis
por: Lau, Leonia Hiu Wan, et al.
Publicado: (2023)

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

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

Spatial and temporal characteristics analysis and prediction model of PM(2.5) concentration based on SpatioTemporal-Informer model
por: Ma, Zhanfei, et al.
Publicado: (2023)

PM(2.5) diminution and haze events over Delhi during the COVID-19 lockdown period: an interplay between the baseline pollution and meteorology
por: Dhaka, Surendra K., et al.
Publicado: (2020)

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)

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)

Meteorological, PM2.5 and PM10 factors on SARS-COV-2 transmission: The case of southern regions in Chile()
por: Scapini, Valeria, et al.
Publicado: (2023)

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)

Investigating PM(2.5) responses to other air pollutants and meteorological factors across multiple temporal scales
por: Fu, Haiyue, et al.
Publicado: (2020)

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)

Identification of Carbonaceous Species and FTIR Profiling of PM(2.5) Aerosols for Source Estimation in Old Delhi Region of India
por: Shankar, Shobhna, et al.
Publicado: (2022)

Examining the impact of lockdown (due to COVID-19) on Domestic Violence (DV): An evidences from India
por: Das, Manob, et al.
Publicado: (2020)

Performance of high resolution (400 m) PM(2.5) forecast over Delhi
por: Jena, Chinmay, et al.
Publicado: (2021)

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)

Combining Cluster Analysis of Air Pollution and Meteorological Data with Receptor Model Results for Ambient PM(2.5) and PM(10)
por: Jorquera, Héctor, et al.
Publicado: (2020)

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)

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)

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)

Spatio-Temporal Variation in the Concentration of Inhalable Particulate Matter (PM(10)) in Uganda
por: Onyango, Silver, et al.
Publicado: (2019)

Spatio-Temporal Variation Characteristics of PM(2.5) in the Beijing–Tianjin–Hebei Region, China, from 2013 to 2018
por: Wang, Lili, et al.
Publicado: (2019)

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

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

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)

Spatio-temporal variations and factors of a provincial PM(2.5) pollution in eastern China during 2013–2017 by geostatistics
por: Sun, Xue, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_peuj60ltt0o1osde6u7aslmguh