Matches in SemOpenAlex for { <https://semopenalex.org/work/W4225527487> ?p ?o ?g. }
- W4225527487 endingPage "119132" @default.
- W4225527487 startingPage "119132" @default.
- W4225527487 abstract "Plume chasing is cost-effective, measuring individual, on-road vehicular emissions. Whereas, wake-flow-generated turbulence results in intermittent, rapid pollutant dilution and substantial fluctuating concentrations right behind the vehicle being chased. The sampling duration is therefore one of the important factors for acquiring representative (average) concentrations, which, however, has been seldom addressed. This paper, which is based on the detailed spatio-temporal dispersion data after a heavy-duty truck calculated by large-eddy simulation (LES), examines how sampling duration affects the uncertainty of the measured concentrations in plume chasing. The tailpipe dispersion is largely driven by the jet-like flows through the vehicle underbody with approximate Gaussian concentration distribution for x ≤ 0.6h, where x is the distance after the vehicle and h the characteristic vehicle size. Thereafter for x ≥ 0.6h, the major recirculation plays an important role in near-wake pollutant transport whose concentrations are highly fluctuating and positively shewed. Plume chasing for a longer sampling duration is more favourable but is logistically impractical in busy traffic. Sampling duration, also known as averaging time in the statistical analysis, thus has a crucial role in sampling accuracy. With a longer sampling (averaging) duration, the sample mean concentration converges to the population mean, improving the sample reliability. However, this effect is less pronounced in long sampling duration. The sampling accuracy is also influenced by the locations of sampling points. For the region x > 0.6h, the sampling accuracy is degraded to a large extent. As a result, acceptable sample mean is hardly achievable. Finally, frequency analysis unveils the mechanism leading to the variance in concentration measurements which is attributed to sampling duration. Those data with frequency higher than the sampling frequency are filtered out by moving average in the statistical analyses." @default.
- W4225527487 created "2022-05-05" @default.
- W4225527487 creator A5014174842 @default.
- W4225527487 creator A5043105706 @default.
- W4225527487 creator A5077691795 @default.
- W4225527487 creator A5089274292 @default.
- W4225527487 date "2022-07-01" @default.
- W4225527487 modified "2023-10-01" @default.
- W4225527487 title "Effect of sampling duration on the estimate of pollutant concentration behind a heavy-duty vehicle: A large-eddy simulation" @default.
- W4225527487 cites W1550914381 @default.
- W4225527487 cites W1566576231 @default.
- W4225527487 cites W1728813071 @default.
- W4225527487 cites W1968035118 @default.
- W4225527487 cites W1981722755 @default.
- W4225527487 cites W1983064769 @default.
- W4225527487 cites W1996728551 @default.
- W4225527487 cites W2003136410 @default.
- W4225527487 cites W2015172019 @default.
- W4225527487 cites W2045492180 @default.
- W4225527487 cites W2057484423 @default.
- W4225527487 cites W2063251819 @default.
- W4225527487 cites W2067376372 @default.
- W4225527487 cites W2071942861 @default.
- W4225527487 cites W2076072327 @default.
- W4225527487 cites W2085909980 @default.
- W4225527487 cites W2102474493 @default.
- W4225527487 cites W2110187357 @default.
- W4225527487 cites W2113495600 @default.
- W4225527487 cites W2135548528 @default.
- W4225527487 cites W2168795429 @default.
- W4225527487 cites W2254375568 @default.
- W4225527487 cites W2325387045 @default.
- W4225527487 cites W2471645311 @default.
- W4225527487 cites W2514131810 @default.
- W4225527487 cites W2523277388 @default.
- W4225527487 cites W2618117263 @default.
- W4225527487 cites W2791860794 @default.
- W4225527487 cites W2792071733 @default.
- W4225527487 cites W2892590447 @default.
- W4225527487 cites W2922358418 @default.
- W4225527487 cites W2937339268 @default.
- W4225527487 cites W2940834957 @default.
- W4225527487 cites W2972073924 @default.
- W4225527487 cites W2972443016 @default.
- W4225527487 cites W2993884368 @default.
- W4225527487 cites W2999505446 @default.
- W4225527487 cites W3025592388 @default.
- W4225527487 cites W3033254554 @default.
- W4225527487 cites W3044502835 @default.
- W4225527487 cites W3081234710 @default.
- W4225527487 cites W3137602902 @default.
- W4225527487 cites W3204186356 @default.
- W4225527487 doi "https://doi.org/10.1016/j.envpol.2022.119132" @default.
- W4225527487 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35381304" @default.
- W4225527487 hasPublicationYear "2022" @default.
- W4225527487 type Work @default.
- W4225527487 citedByCount "0" @default.
- W4225527487 crossrefType "journal-article" @default.
- W4225527487 hasAuthorship W4225527487A5014174842 @default.
- W4225527487 hasAuthorship W4225527487A5043105706 @default.
- W4225527487 hasAuthorship W4225527487A5077691795 @default.
- W4225527487 hasAuthorship W4225527487A5089274292 @default.
- W4225527487 hasConcept C105795698 @default.
- W4225527487 hasConcept C106131492 @default.
- W4225527487 hasConcept C112758219 @default.
- W4225527487 hasConcept C119599485 @default.
- W4225527487 hasConcept C121332964 @default.
- W4225527487 hasConcept C127413603 @default.
- W4225527487 hasConcept C140779682 @default.
- W4225527487 hasConcept C144024400 @default.
- W4225527487 hasConcept C149923435 @default.
- W4225527487 hasConcept C153294291 @default.
- W4225527487 hasConcept C171146098 @default.
- W4225527487 hasConcept C178790620 @default.
- W4225527487 hasConcept C185592680 @default.
- W4225527487 hasConcept C198531522 @default.
- W4225527487 hasConcept C205649164 @default.
- W4225527487 hasConcept C24890656 @default.
- W4225527487 hasConcept C2775840915 @default.
- W4225527487 hasConcept C2908647359 @default.
- W4225527487 hasConcept C33923547 @default.
- W4225527487 hasConcept C39432304 @default.
- W4225527487 hasConcept C43617362 @default.
- W4225527487 hasConcept C48939323 @default.
- W4225527487 hasConcept C52121051 @default.
- W4225527487 hasConcept C57879066 @default.
- W4225527487 hasConcept C82685317 @default.
- W4225527487 hasConceptScore W4225527487C105795698 @default.
- W4225527487 hasConceptScore W4225527487C106131492 @default.
- W4225527487 hasConceptScore W4225527487C112758219 @default.
- W4225527487 hasConceptScore W4225527487C119599485 @default.
- W4225527487 hasConceptScore W4225527487C121332964 @default.
- W4225527487 hasConceptScore W4225527487C127413603 @default.
- W4225527487 hasConceptScore W4225527487C140779682 @default.
- W4225527487 hasConceptScore W4225527487C144024400 @default.
- W4225527487 hasConceptScore W4225527487C149923435 @default.
- W4225527487 hasConceptScore W4225527487C153294291 @default.
- W4225527487 hasConceptScore W4225527487C171146098 @default.