English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

One of the main contributors to air pollution is particulate matter (PMxy),which causes several COVID-19 related diseases such as respiratory problems andcardiovascular disorders. Therefore, the spatial and temporal trend analysis ofparticulate matter and the mass concentration of all aerosol particles lessthan 2.5 m in diameter (PM2.5) has become critical to control the risk factorsof co-morbidity of a patient. Lockdown plays a significant role in maintainingCOVID-19 cases as well as air pollution, including particulate matter. Thisstudy aims to analyse the effect of the lockdown on controlling air pollutionin metropolitan cities in India through various statistical modellingapproaches. Most research articles in the literature assume a linearrelationship between responses and covariates and take independent andidentically distributed error terms in the model, which may not be appropriatefor analysing such air pollution data. In this study, we performed a patternanalysis of daily PM2.5 emissions in various major activity zones during 2019and 2020. By measuring the lockdown effect, we also considered seasonalinfluence.

Statistical assessment of spatio-temporal impact of lockdown on air pollution using different modelling approaches in India