FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3148283217> ?p ?o ?g. }

• W3148283217 endingPage "111108" @default.
• W3148283217 startingPage "111108" @default.
• W3148283217 abstract "Under the COVID-19 global pandemic, China has weakened the large-scale spread of the epidemic through lockdown and other measures. At the same time, with the recovery of social production activities, China has become the only country which achieves positive growth in 2020 in the major economies. It entered the post pandemic period. These measures improved the local environmental quality. However, whether this improvement can be sustained is also a problem that needs to be solved. So, this study investigated the changes of five air pollutants (PM2.5, PM10, NO2, SO2, and CO) in the nine cities most severely affected by the pandemic in China during the lockdown and post pandemic period. We emphasized that when analyzing the changes of environmental quality during the epidemic, we must consider not only the impact of the day and short-term changesbut also the cumulative lag effect and sustainable development. Through a combination of qualitative and quantitative methods, it is found that the concentration of pollutants decreased significantly during the lockdown compared to the situation before the epidemic. PM10 and NO2 are falling most, which downs 39% and 46% respectively. During the lockdown period, the pollutant concentrations response to the pandemic has a lag of 3-7 days. More specifically, in the cities related to single pollutants, the impact on the pollutant shows a significant correlation when the measures are delayed for seven days. In the cities that are related to multiple pollutants, the correlation is usually highest in 3-5 days. This means that the impact of policy measures on the environment lasted for 3-5 days. Besides, Wuhan, Jingmen and Jingzhou have seen the most obvious improvement. However, this improvement did not last. In the post pandemic period, the pollutants rebounded, the growth rates of PM10 and NO2 reached 44% and 87% in September. When compared with the changes of pollutants concentration in the same period from 2017 to 2019, the decline rate has also been significantly slower, even higher than the average concentration of previous years. The research not only contributes to China's economic green recovery plan during the post epidemic period, but also provides references for environmental governance during economic recovery in other countries." @default.
• W3148283217 created "2021-04-13" @default.
• W3148283217 creator A5030863883 @default.
• W3148283217 creator A5038663121 @default.
• W3148283217 date "2021-06-01" @default.
• W3148283217 modified "2023-09-27" @default.
• W3148283217 title "How do pollutants change post-pandemic? Evidence from changes in five key pollutants in nine Chinese cities most affected by the COVID-19" @default.
• W3148283217 cites W1893022307 @default.
• W3148283217 cites W2033582154 @default.
• W3148283217 cites W2048957655 @default.
• W3148283217 cites W2146096861 @default.
• W3148283217 cites W2555516226 @default.
• W3148283217 cites W2901041698 @default.
• W3148283217 cites W2997050358 @default.
• W3148283217 cites W3009003996 @default.
• W3148283217 cites W3009768941 @default.
• W3148283217 cites W3013371964 @default.
• W3148283217 cites W3018507674 @default.
• W3148283217 cites W3021727730 @default.
• W3148283217 cites W3022684765 @default.
• W3148283217 cites W3022808378 @default.
• W3148283217 cites W3023188389 @default.
• W3148283217 cites W3023660776 @default.
• W3148283217 cites W3025553603 @default.
• W3148283217 cites W3025947019 @default.
• W3148283217 cites W3027574333 @default.
• W3148283217 cites W3028599298 @default.
• W3148283217 cites W3032971139 @default.
• W3148283217 cites W3033195517 @default.
• W3148283217 cites W3034310019 @default.
• W3148283217 cites W3035627840 @default.
• W3148283217 cites W3037490325 @default.
• W3148283217 cites W3038307101 @default.
• W3148283217 cites W3038444436 @default.
• W3148283217 cites W3039539860 @default.
• W3148283217 cites W3040876431 @default.
• W3148283217 cites W3043893371 @default.
• W3148283217 cites W3046435592 @default.
• W3148283217 cites W3047687683 @default.
• W3148283217 cites W3048527374 @default.
• W3148283217 cites W3049151588 @default.
• W3148283217 cites W3086868605 @default.
• W3148283217 cites W3087182518 @default.
• W3148283217 cites W3093552303 @default.
• W3148283217 cites W3093615704 @default.
• W3148283217 cites W3099971038 @default.
• W3148283217 cites W3108035202 @default.
• W3148283217 cites W3109242576 @default.
• W3148283217 cites W3110762992 @default.
• W3148283217 cites W3127153472 @default.
• W3148283217 cites W3129097117 @default.
• W3148283217 cites W3132126281 @default.
• W3148283217 cites W4232332215 @default.
• W3148283217 cites W4361755798 @default.
• W3148283217 doi "https://doi.org/10.1016/j.envres.2021.111108" @default.
• W3148283217 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8545702" @default.
• W3148283217 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33812870" @default.
• W3148283217 hasPublicationYear "2021" @default.
• W3148283217 type Work @default.
• W3148283217 sameAs 3148283217 @default.
• W3148283217 citedByCount "14" @default.
• W3148283217 countsByYear W31482832172021 @default.
• W3148283217 countsByYear W31482832172022 @default.
• W3148283217 countsByYear W31482832172023 @default.
• W3148283217 crossrefType "journal-article" @default.
• W3148283217 hasAuthorship W3148283217A5030863883 @default.
• W3148283217 hasAuthorship W3148283217A5038663121 @default.
• W3148283217 hasBestOaLocation W31482832171 @default.
• W3148283217 hasConcept C142724271 @default.
• W3148283217 hasConcept C166957645 @default.
• W3148283217 hasConcept C18903297 @default.
• W3148283217 hasConcept C191935318 @default.
• W3148283217 hasConcept C205649164 @default.
• W3148283217 hasConcept C2779134260 @default.
• W3148283217 hasConcept C3008058167 @default.
• W3148283217 hasConcept C31258907 @default.
• W3148283217 hasConcept C39432304 @default.
• W3148283217 hasConcept C41008148 @default.
• W3148283217 hasConcept C524204448 @default.
• W3148283217 hasConcept C552854447 @default.
• W3148283217 hasConcept C70798638 @default.
• W3148283217 hasConcept C71924100 @default.
• W3148283217 hasConcept C75778745 @default.
• W3148283217 hasConcept C82685317 @default.
• W3148283217 hasConcept C86803240 @default.
• W3148283217 hasConcept C89623803 @default.
• W3148283217 hasConcept C99454951 @default.
• W3148283217 hasConceptScore W3148283217C142724271 @default.
• W3148283217 hasConceptScore W3148283217C166957645 @default.
• W3148283217 hasConceptScore W3148283217C18903297 @default.
• W3148283217 hasConceptScore W3148283217C191935318 @default.
• W3148283217 hasConceptScore W3148283217C205649164 @default.
• W3148283217 hasConceptScore W3148283217C2779134260 @default.
• W3148283217 hasConceptScore W3148283217C3008058167 @default.
• W3148283217 hasConceptScore W3148283217C31258907 @default.
• W3148283217 hasConceptScore W3148283217C39432304 @default.
• W3148283217 hasConceptScore W3148283217C41008148 @default.
• W3148283217 hasConceptScore W3148283217C524204448 @default.

• next