Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283155306> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W4283155306 endingPage "119242" @default.
- W4283155306 startingPage "119242" @default.
- W4283155306 abstract "Air pollution naturally comes in episodes due to the repetition of the meteorological processes that remove and accumulate the pollutants. We present an episodic air quality assessment approach that consists of two steps. The first step selects the pollution episodes via a data driven algorithm that controls the wind conditions after a thorough removal process. The second step analyzes the episodic average and total pollution loading with respect to the within episode and prior episode meteorological conditions via the linear and random forest regression. A meteorological adjustment is conducted to remove the yearly meteorological variation in the estimated episodic air quality measures. Empirical analyses using the episode based assessment on four site clusters in three North China cities revealed that it offered sharper analysis and different perspectives on the underlying air quality than those based on the conventional full sample method due to the proper control in the episode selection. • Episode based air quality assessment to evaluate the average pollution loading. • Pollution episode selection with a data driven algorithm. • Downward trend in the episodic SO 2 and PM 2.5 , while that for NO 2 was uncertain. • Increased episodic O 3 in all seasons with that in autumn and winter at higher rates." @default.
- W4283155306 created "2022-06-21" @default.
- W4283155306 creator A5005003476 @default.
- W4283155306 creator A5006321255 @default.
- W4283155306 creator A5019882694 @default.
- W4283155306 date "2022-09-01" @default.
- W4283155306 modified "2023-10-11" @default.
- W4283155306 title "Episode based air quality assessment" @default.
- W4283155306 cites W2003366520 @default.
- W4283155306 cites W2006980073 @default.
- W4283155306 cites W2008641894 @default.
- W4283155306 cites W2030448148 @default.
- W4283155306 cites W2034446988 @default.
- W4283155306 cites W2035757763 @default.
- W4283155306 cites W2070533532 @default.
- W4283155306 cites W2087055101 @default.
- W4283155306 cites W209050710 @default.
- W4283155306 cites W2094440342 @default.
- W4283155306 cites W2102948292 @default.
- W4283155306 cites W2103206342 @default.
- W4283155306 cites W2111108224 @default.
- W4283155306 cites W2120802181 @default.
- W4283155306 cites W2125301092 @default.
- W4283155306 cites W2137356452 @default.
- W4283155306 cites W2140805694 @default.
- W4283155306 cites W2141519646 @default.
- W4283155306 cites W2158822760 @default.
- W4283155306 cites W2168175751 @default.
- W4283155306 cites W2468750570 @default.
- W4283155306 cites W2553351168 @default.
- W4283155306 cites W2742024368 @default.
- W4283155306 cites W2752342894 @default.
- W4283155306 cites W2765442061 @default.
- W4283155306 cites W2889485435 @default.
- W4283155306 cites W2906751544 @default.
- W4283155306 cites W2911964244 @default.
- W4283155306 cites W3015801692 @default.
- W4283155306 cites W3137157717 @default.
- W4283155306 cites W3204477332 @default.
- W4283155306 cites W4200439236 @default.
- W4283155306 doi "https://doi.org/10.1016/j.atmosenv.2022.119242" @default.
- W4283155306 hasPublicationYear "2022" @default.
- W4283155306 type Work @default.
- W4283155306 citedByCount "1" @default.
- W4283155306 countsByYear W42831553062023 @default.
- W4283155306 crossrefType "journal-article" @default.
- W4283155306 hasAuthorship W4283155306A5005003476 @default.
- W4283155306 hasAuthorship W4283155306A5006321255 @default.
- W4283155306 hasAuthorship W4283155306A5019882694 @default.
- W4283155306 hasConcept C121332964 @default.
- W4283155306 hasConcept C126314574 @default.
- W4283155306 hasConcept C153294291 @default.
- W4283155306 hasConcept C205649164 @default.
- W4283155306 hasConcept C2779530757 @default.
- W4283155306 hasConcept C39432304 @default.
- W4283155306 hasConcept C62520636 @default.
- W4283155306 hasConceptScore W4283155306C121332964 @default.
- W4283155306 hasConceptScore W4283155306C126314574 @default.
- W4283155306 hasConceptScore W4283155306C153294291 @default.
- W4283155306 hasConceptScore W4283155306C205649164 @default.
- W4283155306 hasConceptScore W4283155306C2779530757 @default.
- W4283155306 hasConceptScore W4283155306C39432304 @default.
- W4283155306 hasConceptScore W4283155306C62520636 @default.
- W4283155306 hasLocation W42831553061 @default.
- W4283155306 hasOpenAccess W4283155306 @default.
- W4283155306 hasPrimaryLocation W42831553061 @default.
- W4283155306 hasRelatedWork W1926972755 @default.
- W4283155306 hasRelatedWork W2046856058 @default.
- W4283155306 hasRelatedWork W2748952813 @default.
- W4283155306 hasRelatedWork W2806201687 @default.
- W4283155306 hasRelatedWork W2899084033 @default.
- W4283155306 hasRelatedWork W3035307268 @default.
- W4283155306 hasRelatedWork W3112829064 @default.
- W4283155306 hasRelatedWork W3125932149 @default.
- W4283155306 hasRelatedWork W4309601860 @default.
- W4283155306 hasRelatedWork W4317914702 @default.
- W4283155306 hasVolume "285" @default.
- W4283155306 isParatext "false" @default.
- W4283155306 isRetracted "false" @default.
- W4283155306 workType "article" @default.