FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2968589752> ?p ?o ?g. }

• W2968589752 endingPage "179" @default.
• W2968589752 startingPage "158" @default.
• W2968589752 abstract "Increases in large wildfire frequency and intensity and a longer fire season in the western United States are resulting in a significant increase in air pollution, including concentrations of PM2.5 (particulate matter <2.5 µm in aerodynamic diameter) that pose significant health risks to nearby communities. During wildfires, government agencies monitor PM2.5 mass concentrations providing information and actions needed to protect affected communities; this requires continuously measuring instruments. This study assessed the performance of seven candidate instruments: (1) Met One Environmental beta attenuation monitor (EBAM), (2) Met One ES model 642 (ES642), (3) Grimm Environmental Dust Monitor 164 (EDM), (4) Thermo ADR 1500 (ADR), (5) TSI DRX model 8543 (DRX), (6) Dylos 1700 (Dylos), and (7) Purple Air II (PA-II) in comparison with a BAM 1020 (BAM) reference instrument. With the exception of the EBAM, all candidates use light scattering to determine PM2.5 mass concentrations. Our comparison study included environmental chamber and field components, with two of each candidate instrument operating next to the reference instrument. The chamber component involved 6 days of comparisons for biomass combustion emissions. The field component involved operating all instruments in an air monitoring station for 39.5 days with hourly average relative humidity (RH) ranging from 19% to 98%. Goals were to assess instrument precision and accuracy and effects of RH, elemental carbon (EC), and organic carbon (OC) concentrations. All replicate candidate instruments showed high hourly correlations (R2 ≥ 0.80) and higher daily average correlations (R2 ≥ 0.90), where all instruments correlated well (R2 ≥ 0.80) with the reference. The DRX and Purple Air overestimated PM2.5 mass concentrations by a factor of ~two. Differences between candidates and reference were more pronounced at higher PM2.5 concentrations. All optical instruments were affected by high RH and by the EC/OC ratio. Equations to convert candidate instruments data to FEM BAM type data are provided to enhance the usability of data from candidate instruments.Implications: This study tested the performance of seven candidate PM2.5 mass concentration measuring instruments in two settings - environmental chamber and field. The instruments were tested to determine their suitability for use during biomass combustion events and the effects of RH, PM mass concentrations, and concentrations of EC and OC on their performance. The accuracy and precision of each monitor and effect of RH, PM concentration, EC and OC concentrations are varied. The data show that most of these candidate instruments are suitable for measuring PM2.5 concentration during biomass combustions with a proper correction factor for each instrument type." @default.
• W2968589752 created "2019-08-22" @default.
• W2968589752 creator A5010787158 @default.
• W2968589752 creator A5010945750 @default.
• W2968589752 creator A5026464158 @default.
• W2968589752 creator A5049127306 @default.
• W2968589752 creator A5051160895 @default.
• W2968589752 creator A5051825091 @default.
• W2968589752 creator A5068034519 @default.
• W2968589752 date "2020-01-06" @default.
• W2968589752 modified "2023-10-15" @default.
• W2968589752 title "Laboratory and field evaluation of real-time and near real-time PM_2.5 smoke monitors" @default.
• W2968589752 cites W1977520377 @default.
• W2968589752 cites W1995063720 @default.
• W2968589752 cites W1998643121 @default.
• W2968589752 cites W2003678836 @default.
• W2968589752 cites W2004932539 @default.
• W2968589752 cites W2008691050 @default.
• W2968589752 cites W2011000754 @default.
• W2968589752 cites W2022629577 @default.
• W2968589752 cites W2026773605 @default.
• W2968589752 cites W2028111254 @default.
• W2968589752 cites W2036524308 @default.
• W2968589752 cites W2038581511 @default.
• W2968589752 cites W2039636725 @default.
• W2968589752 cites W2078643689 @default.
• W2968589752 cites W2079098817 @default.
• W2968589752 cites W2131227719 @default.
• W2968589752 cites W2165977355 @default.
• W2968589752 cites W2177101396 @default.
• W2968589752 cites W2182965548 @default.
• W2968589752 cites W2329466550 @default.
• W2968589752 cites W2400470910 @default.
• W2968589752 cites W2444588504 @default.
• W2968589752 cites W2463320208 @default.
• W2968589752 cites W2508438097 @default.
• W2968589752 cites W2566824844 @default.
• W2968589752 cites W2592315412 @default.
• W2968589752 cites W2620307878 @default.
• W2968589752 cites W2741056528 @default.
• W2968589752 cites W2745367093 @default.
• W2968589752 cites W2760315322 @default.
• W2968589752 cites W2790797229 @default.
• W2968589752 cites W2801553349 @default.
• W2968589752 cites W2804201186 @default.
• W2968589752 cites W2886829931 @default.
• W2968589752 cites W2887983086 @default.
• W2968589752 doi "https://doi.org/10.1080/10962247.2019.1654036" @default.
• W2968589752 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31403397" @default.
• W2968589752 hasPublicationYear "2020" @default.
• W2968589752 type Work @default.
• W2968589752 sameAs 2968589752 @default.
• W2968589752 citedByCount "32" @default.
• W2968589752 countsByYear W29685897522020 @default.
• W2968589752 countsByYear W29685897522021 @default.
• W2968589752 countsByYear W29685897522022 @default.
• W2968589752 countsByYear W29685897522023 @default.
• W2968589752 crossrefType "journal-article" @default.
• W2968589752 hasAuthorship W2968589752A5010787158 @default.
• W2968589752 hasAuthorship W2968589752A5010945750 @default.
• W2968589752 hasAuthorship W2968589752A5026464158 @default.
• W2968589752 hasAuthorship W2968589752A5049127306 @default.
• W2968589752 hasAuthorship W2968589752A5051160895 @default.
• W2968589752 hasAuthorship W2968589752A5051825091 @default.
• W2968589752 hasAuthorship W2968589752A5068034519 @default.
• W2968589752 hasBestOaLocation W29685897521 @default.
• W2968589752 hasConcept C121332964 @default.
• W2968589752 hasConcept C126857682 @default.
• W2968589752 hasConcept C147789679 @default.
• W2968589752 hasConcept C153294291 @default.
• W2968589752 hasConcept C158960510 @default.
• W2968589752 hasConcept C178790620 @default.
• W2968589752 hasConcept C185592680 @default.
• W2968589752 hasConcept C24245907 @default.
• W2968589752 hasConcept C2779345167 @default.
• W2968589752 hasConcept C2994497548 @default.
• W2968589752 hasConcept C39432304 @default.
• W2968589752 hasConcept C559116025 @default.
• W2968589752 hasConcept C58874564 @default.
• W2968589752 hasConcept C91586092 @default.
• W2968589752 hasConceptScore W2968589752C121332964 @default.
• W2968589752 hasConceptScore W2968589752C126857682 @default.
• W2968589752 hasConceptScore W2968589752C147789679 @default.
• W2968589752 hasConceptScore W2968589752C153294291 @default.
• W2968589752 hasConceptScore W2968589752C158960510 @default.
• W2968589752 hasConceptScore W2968589752C178790620 @default.
• W2968589752 hasConceptScore W2968589752C185592680 @default.
• W2968589752 hasConceptScore W2968589752C24245907 @default.
• W2968589752 hasConceptScore W2968589752C2779345167 @default.
• W2968589752 hasConceptScore W2968589752C2994497548 @default.
• W2968589752 hasConceptScore W2968589752C39432304 @default.
• W2968589752 hasConceptScore W2968589752C559116025 @default.
• W2968589752 hasConceptScore W2968589752C58874564 @default.
• W2968589752 hasConceptScore W2968589752C91586092 @default.
• W2968589752 hasIssue "2" @default.
• W2968589752 hasLocation W29685897521 @default.
• W2968589752 hasLocation W29685897522 @default.
• W2968589752 hasLocation W29685897523 @default.

• next