Matches in SemOpenAlex for { <https://semopenalex.org/work/W3045275280> ?p ?o ?g. }
- W3045275280 endingPage "105159" @default.
- W3045275280 startingPage "105159" @default.
- W3045275280 abstract "The WRF-CHEM (Weather Research Forecast-Chemistry) model was used to investigate a severe haze episode in Zhejiang province in southern Yangtze River Delta, China, during 28 November to 10 December 2013 to obtain the characteristics of PM2.5 transboundary transport and its contributions to haze formation. The predicted temporal variations of PM2.5 and meteorological variables are in good agreement with in-situ observations in Zhejiang. Simulated wind direction and pollution levels in upwind areas have significant effects on modeled near-surface PM2.5 concentrations. Both the large-scale atmospheric circulations and local weather conditions contributed to the accumulation of pollutants in Zhejiang, featuring the weakened East Asia trough, the dominance of a weak high pressure system, a low wind speed and a low planetary boundary layer height (PBLH) during the heavily polluted period from 4 to 7 December. The near-surface PM2.5 concentration was highly positively correlated with the accumulated PM2.5 transport mass (R = 0.88 at a lag of 7 h) and moderately negatively correlated with the PBLH (R = −0.39) during this period, indicating that the horizontal transport across Zhejiang's boundary under stable meteorological condition played important roles in the high PM2.5 concentrations. The analysis of PM2.5 transboundary transport flux shows that the main transport pathway for outside pollutants affecting Zhejiang was mainly the northerly flow. There were strong input fluxes mainly within the planetary boundary layer on 4 and 6 December before the maximum concentration occurred in the early morning on 7 December. The contribution of PM2.5 transboundary transport to the aerosol pollution in the study domain was determined by a receptor-oriented model based on the conservation of mass formula for PM2.5. The PM2.5 transboundary transport across the Zhejiang's boundary contributed 62% to the total PM2.5 increase during the severe haze episode, and the primary emission and secondary PM2.5 formation contributed 15% and 23%, respectively. This result suggests that the joint efforts with neighboring provinces to mitigate pollutant emissions are important to improve air quality in Zhejiang during winter." @default.
- W3045275280 created "2020-07-29" @default.
- W3045275280 creator A5021979312 @default.
- W3045275280 creator A5023694096 @default.
- W3045275280 creator A5030474218 @default.
- W3045275280 creator A5036700719 @default.
- W3045275280 creator A5048468640 @default.
- W3045275280 creator A5070379325 @default.
- W3045275280 creator A5089582967 @default.
- W3045275280 date "2021-01-01" @default.
- W3045275280 modified "2023-10-12" @default.
- W3045275280 title "A modeling study of PM2.5 transboundary transport during a winter severe haze episode in southern Yangtze River Delta, China" @default.
- W3045275280 cites W1486027341 @default.
- W3045275280 cites W1516643246 @default.
- W3045275280 cites W1543174819 @default.
- W3045275280 cites W1600830215 @default.
- W3045275280 cites W1819362720 @default.
- W3045275280 cites W1964515489 @default.
- W3045275280 cites W1972028933 @default.
- W3045275280 cites W1972208246 @default.
- W3045275280 cites W1978316624 @default.
- W3045275280 cites W1992170152 @default.
- W3045275280 cites W1998496089 @default.
- W3045275280 cites W2002570697 @default.
- W3045275280 cites W2022707507 @default.
- W3045275280 cites W2028979275 @default.
- W3045275280 cites W2030911514 @default.
- W3045275280 cites W2040113717 @default.
- W3045275280 cites W2045824543 @default.
- W3045275280 cites W2056188366 @default.
- W3045275280 cites W2059009934 @default.
- W3045275280 cites W2064628902 @default.
- W3045275280 cites W2067318157 @default.
- W3045275280 cites W2082414762 @default.
- W3045275280 cites W2083441060 @default.
- W3045275280 cites W2087406086 @default.
- W3045275280 cites W2094433086 @default.
- W3045275280 cites W2114883075 @default.
- W3045275280 cites W2119007429 @default.
- W3045275280 cites W2121690346 @default.
- W3045275280 cites W2137356452 @default.
- W3045275280 cites W2142284035 @default.
- W3045275280 cites W2153719171 @default.
- W3045275280 cites W2159488128 @default.
- W3045275280 cites W2162070159 @default.
- W3045275280 cites W2314999404 @default.
- W3045275280 cites W2340578935 @default.
- W3045275280 cites W2505241051 @default.
- W3045275280 cites W2506034482 @default.
- W3045275280 cites W2511101204 @default.
- W3045275280 cites W2572287399 @default.
- W3045275280 cites W2600136993 @default.
- W3045275280 cites W2795609506 @default.
- W3045275280 cites W2799405572 @default.
- W3045275280 cites W3015877521 @default.
- W3045275280 cites W4239026092 @default.
- W3045275280 doi "https://doi.org/10.1016/j.atmosres.2020.105159" @default.
- W3045275280 hasPublicationYear "2021" @default.
- W3045275280 type Work @default.
- W3045275280 sameAs 3045275280 @default.
- W3045275280 citedByCount "14" @default.
- W3045275280 countsByYear W30452752802021 @default.
- W3045275280 countsByYear W30452752802022 @default.
- W3045275280 countsByYear W30452752802023 @default.
- W3045275280 crossrefType "journal-article" @default.
- W3045275280 hasAuthorship W3045275280A5021979312 @default.
- W3045275280 hasAuthorship W3045275280A5023694096 @default.
- W3045275280 hasAuthorship W3045275280A5030474218 @default.
- W3045275280 hasAuthorship W3045275280A5036700719 @default.
- W3045275280 hasAuthorship W3045275280A5048468640 @default.
- W3045275280 hasAuthorship W3045275280A5070379325 @default.
- W3045275280 hasAuthorship W3045275280A5089582967 @default.
- W3045275280 hasConcept C107775477 @default.
- W3045275280 hasConcept C127313418 @default.
- W3045275280 hasConcept C127413603 @default.
- W3045275280 hasConcept C133204551 @default.
- W3045275280 hasConcept C139719470 @default.
- W3045275280 hasConcept C146978453 @default.
- W3045275280 hasConcept C153294291 @default.
- W3045275280 hasConcept C161067210 @default.
- W3045275280 hasConcept C162324750 @default.
- W3045275280 hasConcept C178790620 @default.
- W3045275280 hasConcept C185592680 @default.
- W3045275280 hasConcept C18903297 @default.
- W3045275280 hasConcept C196558001 @default.
- W3045275280 hasConcept C205649164 @default.
- W3045275280 hasConcept C32239851 @default.
- W3045275280 hasConcept C39432304 @default.
- W3045275280 hasConcept C49204034 @default.
- W3045275280 hasConcept C5072461 @default.
- W3045275280 hasConcept C521259446 @default.
- W3045275280 hasConcept C79974267 @default.
- W3045275280 hasConcept C82685317 @default.
- W3045275280 hasConcept C86338904 @default.
- W3045275280 hasConcept C86803240 @default.
- W3045275280 hasConcept C91586092 @default.
- W3045275280 hasConceptScore W3045275280C107775477 @default.
- W3045275280 hasConceptScore W3045275280C127313418 @default.