FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891898826> ?p ?o ?g. }

• W2891898826 endingPage "283" @default.
• W2891898826 startingPage "271" @default.
• W2891898826 abstract "Matching the spectral response between multiple spectrometers is a mandatory procedure when developing robust calibrations whose prediction is independent of instrument-related signal variations. A viable alternative to complex calibration transfer methods consists of matching the instrument spectral response by controlling a set of key instrumental and environmental parameters. This paper discusses the applicability of such an approach to three Fourier transform infrared (FT-IR) spectrometers used for the routine assessment of carbonaceous particulate matter concentrations in the Interagency Monitoring of PROtected Visual Environments (IMPROVE) speciation network. The effectiveness of the proposed matching procedure is evaluated by comparing the spectral response for each individual instrument in order to characterize the extent, and nature, of the remaining inter-instrument spectral dissimilarities. Instrument-related contributions to the signal were determined to be small compared with the spectral variability induced by the filter type used for sample collection. The impact of spectral differences on prediction was addressed through the comparison of model performance derived from multiple calibration scenarios. A hybrid model yielding accurate and homogeneous prediction regardless of the instrument was proposed for organic carbon (OC) and elemental carbon (EC), two major constituents of atmospheric particulate matter. Coefficients of determination of 0.98 (OC) and 0.90 (EC) with median biases not exceeding 0.20 µg (OC) and 0.07 µg (EC) are reported. The long-term stability, assessed from weekly measurements of reference samples, shows a deviation in predicted concentrations of less than ±5% over a 2.5-year period for most of the data collected. Extending OC and EC hybrid models to the prediction of ambient samples collected during the two subsequent years provides satisfactory performance. The proposed instrument matching procedure coupled with the relative simplicity of the hybrid model is an alternative to computationally advanced calibration transfer methodologies for the characterization of carbonaceous particulate matter using multiple FT-IR instruments." @default.
• W2891898826 created "2018-09-27" @default.
• W2891898826 creator A5006094899 @default.
• W2891898826 creator A5009777309 @default.
• W2891898826 creator A5027496976 @default.
• W2891898826 creator A5070023184 @default.
• W2891898826 creator A5082887019 @default.
• W2891898826 date "2018-11-13" @default.
• W2891898826 modified "2023-10-17" @default.
• W2891898826 title "Long-Term Strategy for Assessing Carbonaceous Particulate Matter Concentrations from Multiple Fourier Transform Infrared (FT-IR) Instruments: Influence of Spectral Dissimilarities on Multivariate Calibration Performance" @default.
• W2891898826 cites W1924884587 @default.
• W2891898826 cites W1965584180 @default.
• W2891898826 cites W1970503877 @default.
• W2891898826 cites W1981339483 @default.
• W2891898826 cites W1984725312 @default.
• W2891898826 cites W1991929840 @default.
• W2891898826 cites W2001018534 @default.
• W2891898826 cites W2004995042 @default.
• W2891898826 cites W2012254240 @default.
• W2891898826 cites W2017422910 @default.
• W2891898826 cites W2019957412 @default.
• W2891898826 cites W2021040474 @default.
• W2891898826 cites W2021758772 @default.
• W2891898826 cites W2035527619 @default.
• W2891898826 cites W2041635112 @default.
• W2891898826 cites W2042472688 @default.
• W2891898826 cites W2042503776 @default.
• W2891898826 cites W2052916447 @default.
• W2891898826 cites W2053559523 @default.
• W2891898826 cites W2059395660 @default.
• W2891898826 cites W2061916782 @default.
• W2891898826 cites W2065570881 @default.
• W2891898826 cites W2066204988 @default.
• W2891898826 cites W2069013297 @default.
• W2891898826 cites W2073503722 @default.
• W2891898826 cites W2080735383 @default.
• W2891898826 cites W2080962199 @default.
• W2891898826 cites W2082652215 @default.
• W2891898826 cites W2083153570 @default.
• W2891898826 cites W2089125609 @default.
• W2891898826 cites W2089863734 @default.
• W2891898826 cites W2132838655 @default.
• W2891898826 cites W2144923407 @default.
• W2891898826 cites W2153555750 @default.
• W2891898826 cites W2161807432 @default.
• W2891898826 cites W2162047162 @default.
• W2891898826 cites W2164958802 @default.
• W2891898826 cites W2176609329 @default.
• W2891898826 cites W2275931631 @default.
• W2891898826 cites W2313469619 @default.
• W2891898826 cites W2317366472 @default.
• W2891898826 cites W2399310212 @default.
• W2891898826 cites W2601957734 @default.
• W2891898826 cites W2754254239 @default.
• W2891898826 cites W2775383738 @default.
• W2891898826 cites W3104887532 @default.
• W2891898826 cites W3106889297 @default.
• W2891898826 cites W4213054765 @default.
• W2891898826 doi "https://doi.org/10.1177/0003702818804574" @default.
• W2891898826 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30223670" @default.
• W2891898826 hasPublicationYear "2018" @default.
• W2891898826 type Work @default.
• W2891898826 sameAs 2891898826 @default.
• W2891898826 citedByCount "9" @default.
• W2891898826 countsByYear W28918988262019 @default.
• W2891898826 countsByYear W28918988262020 @default.
• W2891898826 countsByYear W28918988262021 @default.
• W2891898826 countsByYear W28918988262022 @default.
• W2891898826 crossrefType "journal-article" @default.
• W2891898826 hasAuthorship W2891898826A5006094899 @default.
• W2891898826 hasAuthorship W2891898826A5009777309 @default.
• W2891898826 hasAuthorship W2891898826A5027496976 @default.
• W2891898826 hasAuthorship W2891898826A5070023184 @default.
• W2891898826 hasAuthorship W2891898826A5082887019 @default.
• W2891898826 hasBestOaLocation W28918988262 @default.
• W2891898826 hasConcept C102519508 @default.
• W2891898826 hasConcept C105795698 @default.
• W2891898826 hasConcept C106131492 @default.
• W2891898826 hasConcept C107872376 @default.
• W2891898826 hasConcept C113196181 @default.
• W2891898826 hasConcept C120665830 @default.
• W2891898826 hasConcept C121332964 @default.
• W2891898826 hasConcept C124967146 @default.
• W2891898826 hasConcept C127313418 @default.
• W2891898826 hasConcept C1276947 @default.
• W2891898826 hasConcept C134306372 @default.
• W2891898826 hasConcept C160892712 @default.
• W2891898826 hasConcept C165838908 @default.
• W2891898826 hasConcept C178790620 @default.
• W2891898826 hasConcept C185592680 @default.
• W2891898826 hasConcept C186060115 @default.
• W2891898826 hasConcept C24245907 @default.
• W2891898826 hasConcept C31972630 @default.
• W2891898826 hasConcept C33390570 @default.
• W2891898826 hasConcept C33923547 @default.
• W2891898826 hasConcept C39432304 @default.
• W2891898826 hasConcept C41008148 @default.
• W2891898826 hasConcept C4839761 @default.

• next