Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.13227/j.hjkx.202109082

http://scihub22266oqcxt.onion/10.13227/j.hjkx.202109082
suck pdf from google scholar
35686753!ä!35686753

Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=35686753&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215

suck abstract from ncbi


Warning: Undefined variable $yww in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 538

Warning: Undefined variable $yww in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 538
pmid35686753      Huan+Jing+Ke+Xue 2022 ; 43 (6): 2840-2850
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Influence of COVID-19 Prevention and Control Measures on PM(2 5) Concentration, Particle Size Distribution, Chemical Composition, and Source in Zhengzhou, China #MMPMID35686753
  • Huang BY; Wang SB; He B; Xue RY; Gao GY; Zhang RQ
  • Huan Jing Ke Xue 2022[Jun]; 43 (6): 2840-2850 PMID35686753show ga
  • The COVID-19 lockdown was a typical occurrence of extreme emission reduction, which presented an opportunity to study the influence of control measures on particulate matter. Observations were conducted from January 16 to 31, 2020 using online observation instruments to investigate the characteristics of PM(2.5) concentration, particle size distribution, chemical composition, source, and transport before (January 16-23, 2020) and during (January 24-31, 2020) the COVID-19 lockdown in Zhengzhou. The results showed that the atmospheric PM(2.5) concentration decreased by 4.8% during the control period compared with that before the control in Zhengzhou. The particle size distribution characteristics indicated that there was a significant decrease in the mass concentration and number concentration of particles in the size range of 0.06 to 1.6 mum during the control period. The chemical composition characteristics of PM(2.5) showed that secondary inorganic ions (sulfate, nitrate, and ammonium) were the dominant component of PM(2.5), and the significant increase in PM(2.5) was mainly owing to the decrease in NO(3)(-) concentration during the control period. The main sources of PM(2.5) identified by the positive matrix factorization (PMF) model were secondary sources, combustion sources, vehicle sources, industrial sources, and dust sources. The emissions from vehicle sources, industrial sources, and dust sources decreased significantly during the control period. The results of analyses using the backward trajectory method and potential source contribution factor method indicated that the effects of transport from surrounding areas on PM(2.5) concentration decreased during the control period. In summary, vehicle and industrial sources should be continuously controlled, and regional combined prevention and control should be strengthened in the future in Zhengzhou.
  • |*Air Pollutants/analysis[MESH]
  • |*COVID-19/epidemiology/prevention & control[MESH]
  • |China[MESH]
  • |Communicable Disease Control[MESH]
  • |Dust/analysis[MESH]
  • |Environmental Monitoring/methods[MESH]
  • |Humans[MESH]
  • |Particle Size[MESH]
  • |Particulate Matter/analysis[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box