FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4295458466> ?p ?o ?g. }

• W4295458466 abstract "The spatiotemporal variation of observed trace gases (NO2, SO2, O3) and particulate matter (PM2.5, PM10) were investigated over cities of Yangtze River Delta (YRD) region including Nanjing, Hefei, Shanghai and Hangzhou. Furthermore, the characteristics of different pollution episodes, i.e., haze events (visibility < 7 km, relative humidity < 80%, and PM2.5 > 40 µg/m3) and complex pollution episodes (PM2.5 > 35 µg/m3 and O3 > 160 µg/m3) were studied over the cities of the YRD region. The impact of China clean air action plan on concentration of aerosols and trace gases is examined. The impacts of trans-boundary pollution and different meteorological conditions were also examined.The highest annual mean concentrations of PM2.5, PM10, NO2 and O3 were found for 2019 over all the cities. The annual mean concentrations of PM2.5, PM10, and NO2 showed continuous declines from 2019 to 2021 due to emission control measures and implementation of the Clean Air Action plan over all the cities of the YRD region. The annual mean O3 levels showed a decline in 2020 over all the cities of YRD region, which is unprecedented since the beginning of the China's National environmental monitoring program since 2013. However, a slight increase in annual O3 was observed in 2021. The highest overall means of PM2.5, PM10, SO2, and NO2 were observed over Hefei, whereas the highest O3 levels were found in Nanjing. Despite the strict control measures, PM2.5 and PM10 concentrations exceeded the Grade-1 National Ambient Air Quality Standards (NAAQS) and WHO (World Health Organization) guidelines over all the cities of the YRD region. The number of haze days was higher in Hefei and Nanjing, whereas the complex pollution episodes or concurrent occurrence of O3 and PM2.5 pollution days were higher in Hangzhou and Shanghai.The in situ data for SO2 and NO2 showed strong correlation with Tropospheric Monitoring Instrument (TROPOMI) satellite data.Despite the observed reductions in primary pollutants concentrations, the secondary pollutants formation is still a concern for major metropolises. The increase in temperature and lower relative humidity favors the accumulation of O3, while low temperature, low wind speeds and lower relative humidity favor the accumulation of primary pollutants. This study depicts different air pollution problems for different cities inside a region. Therefore, there is a dire need to continuous monitoring and analysis of air quality parameters and design city-specific policies and action plans to effectively deal with the metropolitan pollution.The online version contains supplementary material available at 10.1186/s12302-022-00668-2." @default.
• W4295458466 created "2022-09-14" @default.
• W4295458466 creator A5014198028 @default.
• W4295458466 creator A5014893450 @default.
• W4295458466 creator A5014898118 @default.
• W4295458466 creator A5019593272 @default.
• W4295458466 creator A5042026897 @default.
• W4295458466 creator A5042816896 @default.
• W4295458466 creator A5042934801 @default.
• W4295458466 creator A5049626185 @default.
• W4295458466 creator A5059100221 @default.
• W4295458466 creator A5069167434 @default.
• W4295458466 creator A5076767097 @default.
• W4295458466 creator A5082322039 @default.
• W4295458466 creator A5084484944 @default.
• W4295458466 date "2022-09-08" @default.
• W4295458466 modified "2023-10-03" @default.
• W4295458466 title "Spatiotemporal characterization of aerosols and trace gases over the Yangtze River Delta region, China: impact of trans-boundary pollution and meteorology" @default.
• W4295458466 cites W1485504984 @default.
• W4295458466 cites W1982296278 @default.
• W4295458466 cites W1985621115 @default.
• W4295458466 cites W2032412409 @default.
• W4295458466 cites W2036302056 @default.
• W4295458466 cites W2082481714 @default.
• W4295458466 cites W2085936875 @default.
• W4295458466 cites W2107520768 @default.
• W4295458466 cites W2209794652 @default.
• W4295458466 cites W2402894798 @default.
• W4295458466 cites W2463416736 @default.
• W4295458466 cites W2535238616 @default.
• W4295458466 cites W2561091117 @default.
• W4295458466 cites W2564696446 @default.
• W4295458466 cites W2575591472 @default.
• W4295458466 cites W2581321420 @default.
• W4295458466 cites W2754940949 @default.
• W4295458466 cites W2784284461 @default.
• W4295458466 cites W2796294595 @default.
• W4295458466 cites W2883095117 @default.
• W4295458466 cites W2896940440 @default.
• W4295458466 cites W2898639483 @default.
• W4295458466 cites W2901019954 @default.
• W4295458466 cites W2908510209 @default.
• W4295458466 cites W2909413684 @default.
• W4295458466 cites W2914017751 @default.
• W4295458466 cites W2946245707 @default.
• W4295458466 cites W2994121988 @default.
• W4295458466 cites W2996151593 @default.
• W4295458466 cites W3008599913 @default.
• W4295458466 cites W3008949811 @default.
• W4295458466 cites W3021032929 @default.
• W4295458466 cites W3023188389 @default.
• W4295458466 cites W3032725109 @default.
• W4295458466 cites W3047303893 @default.
• W4295458466 cites W3065883584 @default.
• W4295458466 cites W3093692105 @default.
• W4295458466 cites W3094270795 @default.
• W4295458466 cites W3096585341 @default.
• W4295458466 cites W3103621885 @default.
• W4295458466 cites W3108036401 @default.
• W4295458466 cites W3116337703 @default.
• W4295458466 cites W3120584496 @default.
• W4295458466 cites W3129014038 @default.
• W4295458466 cites W3143189367 @default.
• W4295458466 cites W3158983413 @default.
• W4295458466 cites W3166051899 @default.
• W4295458466 cites W3169114236 @default.
• W4295458466 cites W3171813475 @default.
• W4295458466 cites W3172180303 @default.
• W4295458466 cites W3183595436 @default.
• W4295458466 cites W3203253101 @default.
• W4295458466 cites W3205091507 @default.
• W4295458466 cites W3210978619 @default.
• W4295458466 cites W3211334830 @default.
• W4295458466 cites W3212800739 @default.
• W4295458466 cites W3212816601 @default.
• W4295458466 cites W3215670193 @default.
• W4295458466 cites W3216966846 @default.
• W4295458466 cites W3217624453 @default.
• W4295458466 cites W4200174101 @default.
• W4295458466 cites W4205494930 @default.
• W4295458466 cites W4205765055 @default.
• W4295458466 cites W4207048204 @default.
• W4295458466 cites W4213136548 @default.
• W4295458466 cites W4285593253 @default.
• W4295458466 doi "https://doi.org/10.1186/s12302-022-00668-2" @default.
• W4295458466 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36097441" @default.
• W4295458466 hasPublicationYear "2022" @default.
• W4295458466 type Work @default.
• W4295458466 citedByCount "4" @default.
• W4295458466 countsByYear W42954584662023 @default.
• W4295458466 crossrefType "journal-article" @default.
• W4295458466 hasAuthorship W4295458466A5014198028 @default.
• W4295458466 hasAuthorship W4295458466A5014893450 @default.
• W4295458466 hasAuthorship W4295458466A5014898118 @default.
• W4295458466 hasAuthorship W4295458466A5019593272 @default.
• W4295458466 hasAuthorship W4295458466A5042026897 @default.
• W4295458466 hasAuthorship W4295458466A5042816896 @default.
• W4295458466 hasAuthorship W4295458466A5042934801 @default.
• W4295458466 hasAuthorship W4295458466A5049626185 @default.
• W4295458466 hasAuthorship W4295458466A5059100221 @default.

• next