FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048403181> ?p ?o ?g. }

• W3048403181 endingPage "1384" @default.
• W3048403181 startingPage "1375" @default.
• W3048403181 abstract "This research was carried out using the open-source database system along with the continuous air quality monitoring station results from global data sets during the COVID-19 pandemic lockdown in India and the global. Our purpose of this research is to study the improvement of air quality and human mortality rates in countries worldwide during the COVID-19 pandemic lockdown. Worldwide air quality data were collected from > 12,000 continuous air quality monitoring stations on six continents covering 1000 major cities from over 100 countries. Here, we discussed the implementation of the open-source data set of basic air pollutants such as PM 2.5, NO2, temperature, relative humidity, and Air Quality Index variation during the pre-lockdown and lockdown pandemic COVID-19 in India and described the global aspect. An average concentration of PM 2.5 (145.51 μg/m3), NO2 (21.64 μg/m3), and AQI index (55.58) continuously decreased. The variation of PM 2.5, NO2, normally shows more than 25 μg/m3 every year, but during the COVID-19 lockdown period (April 2020) continuously decreased below 20 μg/m3. Similarly, the AQI index and meteorological factors such as temperature, relative humidity, and wind speed variation decreased significantly in the many countries in the world. In Asian countries, air quality improved during the national lockdown especially in the most polluted cities globally such as Beijing, Delhi, and Nanjing and also in developed cities like Madrid, New York, Paris, Seoul, Sydney, Tokyo. Furthermore, the reduction of particulate matter was in about 46%, and other gaseous pollutants during the lockdown period were observed in a 54% reduction. We are witnessing pollution reductions which add significantly to improvements in air quality. This is due to the massive decrease in the use of fossil fuel, which in turn reduces production and traffic in general. People nowadays are now willing to see a comparatively healthier world with bleached skies and natural ecosystems. This research finding demonstrates potential safety benefits associated with improving air quality and mortality rates during the COVID-19 pandemic, resulting in decreases in mortality rates in India and around the world." @default.
• W3048403181 created "2020-08-18" @default.
• W3048403181 creator A5007373290 @default.
• W3048403181 creator A5031501504 @default.
• W3048403181 creator A5041369767 @default.
• W3048403181 creator A5052392597 @default.
• W3048403181 creator A5067376391 @default.
• W3048403181 creator A5067545537 @default.
• W3048403181 creator A5079173123 @default.
• W3048403181 date "2020-08-12" @default.
• W3048403181 modified "2023-10-06" @default.
• W3048403181 title "Air pollution improvement and mortality rate during COVID-19 pandemic in India: global intersectional study" @default.
• W3048403181 cites W2750024547 @default.
• W3048403181 cites W2899773405 @default.
• W3048403181 cites W2935882650 @default.
• W3048403181 cites W3001897055 @default.
• W3048403181 cites W3006070132 @default.
• W3048403181 cites W3008355683 @default.
• W3048403181 cites W3012603648 @default.
• W3048403181 cites W3013964030 @default.
• W3048403181 cites W3014448531 @default.
• W3048403181 cites W3014711352 @default.
• W3048403181 cites W3014860620 @default.
• W3048403181 cites W3014900991 @default.
• W3048403181 cites W3015335313 @default.
• W3048403181 cites W3015693383 @default.
• W3048403181 cites W3016065850 @default.
• W3048403181 cites W3016243898 @default.
• W3048403181 cites W3016283360 @default.
• W3048403181 cites W3016605542 @default.
• W3048403181 cites W3018697538 @default.
• W3048403181 cites W3019057975 @default.
• W3048403181 cites W3021727730 @default.
• W3048403181 cites W3022684765 @default.
• W3048403181 cites W3027774650 @default.
• W3048403181 cites W3033195517 @default.
• W3048403181 cites W3033442472 @default.
• W3048403181 cites W3035902890 @default.
• W3048403181 cites W3040876431 @default.
• W3048403181 cites W3042042087 @default.
• W3048403181 cites W3045488972 @default.
• W3048403181 cites W3089994718 @default.
• W3048403181 cites W3090086906 @default.
• W3048403181 cites W337036104 @default.
• W3048403181 doi "https://doi.org/10.1007/s11869-020-00892-w" @default.
• W3048403181 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35194480" @default.
• W3048403181 hasPublicationYear "2020" @default.
• W3048403181 type Work @default.
• W3048403181 sameAs 3048403181 @default.
• W3048403181 citedByCount "54" @default.
• W3048403181 countsByYear W30484031812020 @default.
• W3048403181 countsByYear W30484031812021 @default.
• W3048403181 countsByYear W30484031812022 @default.
• W3048403181 countsByYear W30484031812023 @default.
• W3048403181 crossrefType "journal-article" @default.
• W3048403181 hasAuthorship W3048403181A5007373290 @default.
• W3048403181 hasAuthorship W3048403181A5031501504 @default.
• W3048403181 hasAuthorship W3048403181A5041369767 @default.
• W3048403181 hasAuthorship W3048403181A5052392597 @default.
• W3048403181 hasAuthorship W3048403181A5067376391 @default.
• W3048403181 hasAuthorship W3048403181A5067545537 @default.
• W3048403181 hasAuthorship W3048403181A5079173123 @default.
• W3048403181 hasBestOaLocation W30484031811 @default.
• W3048403181 hasConcept C126314574 @default.
• W3048403181 hasConcept C136764020 @default.
• W3048403181 hasConcept C142724271 @default.
• W3048403181 hasConcept C153294291 @default.
• W3048403181 hasConcept C158960510 @default.
• W3048403181 hasConcept C161067210 @default.
• W3048403181 hasConcept C166957645 @default.
• W3048403181 hasConcept C178790620 @default.
• W3048403181 hasConcept C185592680 @default.
• W3048403181 hasConcept C18903297 @default.
• W3048403181 hasConcept C191935318 @default.
• W3048403181 hasConcept C205649164 @default.
• W3048403181 hasConcept C24245907 @default.
• W3048403181 hasConcept C2777382242 @default.
• W3048403181 hasConcept C2777570903 @default.
• W3048403181 hasConcept C2778304055 @default.
• W3048403181 hasConcept C2779134260 @default.
• W3048403181 hasConcept C3008058167 @default.
• W3048403181 hasConcept C39432304 @default.
• W3048403181 hasConcept C41008148 @default.
• W3048403181 hasConcept C524204448 @default.
• W3048403181 hasConcept C559116025 @default.
• W3048403181 hasConcept C71924100 @default.
• W3048403181 hasConcept C86803240 @default.
• W3048403181 hasConcept C89623803 @default.
• W3048403181 hasConceptScore W3048403181C126314574 @default.
• W3048403181 hasConceptScore W3048403181C136764020 @default.
• W3048403181 hasConceptScore W3048403181C142724271 @default.
• W3048403181 hasConceptScore W3048403181C153294291 @default.
• W3048403181 hasConceptScore W3048403181C158960510 @default.
• W3048403181 hasConceptScore W3048403181C161067210 @default.
• W3048403181 hasConceptScore W3048403181C166957645 @default.
• W3048403181 hasConceptScore W3048403181C178790620 @default.
• W3048403181 hasConceptScore W3048403181C185592680 @default.
• W3048403181 hasConceptScore W3048403181C18903297 @default.

• next