FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2082501519> ?p ?o ?g. }

• W2082501519 endingPage "556" @default.
• W2082501519 startingPage "546" @default.
• W2082501519 abstract "A comprehensive measurement was conducted to analyze the heaviest air pollution episodes, which occurred in January 2013 with the focus on particulate characterization and haze. Based on observation, five heavy pollution episodes were recorded, whose frequencies are far greater than in other years. Among the heavy pollution episodes, two distinct severe regional PM 2.5 (particulate matter (PM) with an aerodynamic diameter ≤2.5 μm) pollution episodes were selected for investigation. One episode is characterized by an explosive growth in PM 2.5 concentrations within several hours, which is mainly caused by the high local emission under stagnant conditions; the other episode is characterized by four-day consecutive increases in PM 2.5 concentrations, which is largely attributed to a combination of slow regional transport and local accumulation. The PM compositions and concentrations including PM 2.5 , PM 1 (PM with an aerodynamic diameter ≤1 μm), nitrate, sulfate, ammonium, organic carbon (OC) and elemental carbon (EC) as well as main gaseous precursor concentrations are analyzed in Beijing during the two episodes. Rapid gas-to-particle conversion, coagulation and collision of particles are discussed under high emission and stagnant weather conditions. High sulfur and nitrogen oxidation ratios were found, suggesting that additional production of sulfate and nitrate occurred during the pollution episodes. In addition, high levels of secondary particles were transported from surrounding regions via vertical mixing and horizontal transport during the polluted days. Notably, the stationary source is still a major contributor to the pollution episodes. Clear evidence is presented indicating that the secondary formation of particulate was one important mechanism in the formation of the heavy pollution episodes. To control the air pollution effectively, more stringent restriction measures on the SO 2 and NO x emissions should be strictly executed at the regional scale. • The obvious decline in air quality was found in Beijing in January. • The highest hourly PM 2.5 concentrations reached approximately 1000 μg/m 3 . • More secondary particles were observed during severe air pollution episodes." @default.
• W2082501519 created "2016-06-24" @default.
• W2082501519 creator A5005027702 @default.
• W2082501519 creator A5006542450 @default.
• W2082501519 creator A5006985228 @default.
• W2082501519 creator A5016315791 @default.
• W2082501519 creator A5020203744 @default.
• W2082501519 creator A5023492006 @default.
• W2082501519 creator A5035213157 @default.
• W2082501519 creator A5042797728 @default.
• W2082501519 creator A5068384528 @default.
• W2082501519 creator A5073116071 @default.
• W2082501519 creator A5075644135 @default.
• W2082501519 creator A5076356591 @default.
• W2082501519 creator A5086052804 @default.
• W2082501519 date "2014-08-01" @default.
• W2082501519 modified "2023-09-27" @default.
• W2082501519 title "The heaviest particulate air-pollution episodes occurred in northern China in January, 2013: Insights gained from observation" @default.
• W2082501519 cites W1970018459 @default.
• W2082501519 cites W1984222195 @default.
• W2082501519 cites W1997419655 @default.
• W2082501519 cites W2001695127 @default.
• W2082501519 cites W2005146108 @default.
• W2082501519 cites W2017123493 @default.
• W2082501519 cites W2020075470 @default.
• W2082501519 cites W2022084776 @default.
• W2082501519 cites W2073207365 @default.
• W2082501519 cites W2073882830 @default.
• W2082501519 cites W2111212225 @default.
• W2082501519 cites W2114456343 @default.
• W2082501519 cites W2114826007 @default.
• W2082501519 cites W2118558990 @default.
• W2082501519 cites W2121397441 @default.
• W2082501519 cites W2132056762 @default.
• W2082501519 cites W2132104902 @default.
• W2082501519 cites W2151277392 @default.
• W2082501519 cites W2159236648 @default.
• W2082501519 cites W2170606104 @default.
• W2082501519 doi "https://doi.org/10.1016/j.atmosenv.2014.04.048" @default.
• W2082501519 hasPublicationYear "2014" @default.
• W2082501519 type Work @default.
• W2082501519 sameAs 2082501519 @default.
• W2082501519 citedByCount "198" @default.
• W2082501519 countsByYear W20825015192014 @default.
• W2082501519 countsByYear W20825015192015 @default.
• W2082501519 countsByYear W20825015192016 @default.
• W2082501519 countsByYear W20825015192017 @default.
• W2082501519 countsByYear W20825015192018 @default.
• W2082501519 countsByYear W20825015192019 @default.
• W2082501519 countsByYear W20825015192020 @default.
• W2082501519 countsByYear W20825015192021 @default.
• W2082501519 countsByYear W20825015192022 @default.
• W2082501519 countsByYear W20825015192023 @default.
• W2082501519 crossrefType "journal-article" @default.
• W2082501519 hasAuthorship W2082501519A5005027702 @default.
• W2082501519 hasAuthorship W2082501519A5006542450 @default.
• W2082501519 hasAuthorship W2082501519A5006985228 @default.
• W2082501519 hasAuthorship W2082501519A5016315791 @default.
• W2082501519 hasAuthorship W2082501519A5020203744 @default.
• W2082501519 hasAuthorship W2082501519A5023492006 @default.
• W2082501519 hasAuthorship W2082501519A5035213157 @default.
• W2082501519 hasAuthorship W2082501519A5042797728 @default.
• W2082501519 hasAuthorship W2082501519A5068384528 @default.
• W2082501519 hasAuthorship W2082501519A5073116071 @default.
• W2082501519 hasAuthorship W2082501519A5075644135 @default.
• W2082501519 hasAuthorship W2082501519A5076356591 @default.
• W2082501519 hasAuthorship W2082501519A5086052804 @default.
• W2082501519 hasConcept C105923489 @default.
• W2082501519 hasConcept C107872376 @default.
• W2082501519 hasConcept C127313418 @default.
• W2082501519 hasConcept C151730666 @default.
• W2082501519 hasConcept C178790620 @default.
• W2082501519 hasConcept C185592680 @default.
• W2082501519 hasConcept C18903297 @default.
• W2082501519 hasConcept C24245907 @default.
• W2082501519 hasConcept C2775925408 @default.
• W2082501519 hasConcept C2776384668 @default.
• W2082501519 hasConcept C2778343803 @default.
• W2082501519 hasConcept C2779345167 @default.
• W2082501519 hasConcept C2816523 @default.
• W2082501519 hasConcept C39432304 @default.
• W2082501519 hasConcept C521259446 @default.
• W2082501519 hasConcept C559116025 @default.
• W2082501519 hasConcept C64297162 @default.
• W2082501519 hasConcept C79974267 @default.
• W2082501519 hasConcept C86803240 @default.
• W2082501519 hasConcept C91586092 @default.
• W2082501519 hasConceptScore W2082501519C105923489 @default.
• W2082501519 hasConceptScore W2082501519C107872376 @default.
• W2082501519 hasConceptScore W2082501519C127313418 @default.
• W2082501519 hasConceptScore W2082501519C151730666 @default.
• W2082501519 hasConceptScore W2082501519C178790620 @default.
• W2082501519 hasConceptScore W2082501519C185592680 @default.
• W2082501519 hasConceptScore W2082501519C18903297 @default.
• W2082501519 hasConceptScore W2082501519C24245907 @default.
• W2082501519 hasConceptScore W2082501519C2775925408 @default.
• W2082501519 hasConceptScore W2082501519C2776384668 @default.
• W2082501519 hasConceptScore W2082501519C2778343803 @default.

• next