Relevant bibliographies by topics / Measurement uncertainy

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Measurement uncertainy'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Measurement uncertainy"

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Hall, Blair. "Modelling Metrological Traceability." Metrology 5, no. 2 (2025): 25. https://doi.org/10.3390/metrology5020025.

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Metrological traceability is essential for ensuring the accuracy of measurement results and enabling a comparison of results to support decision-making in society. This paper explores a structured approach to modelling traceability chains, focusing on the role of residual measurement errors and their impact on measurement accuracy. This work emphasises a scientific description of these errors as physical quantities. By adopting a simple modelling framework grounded in physical principles, the paper offers a formal way to account for the effects of errors through an entire traceability chain, f
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Białek, Agnieszka, Sarah Douglas, Joel Kuusk, et al. "Example of Monte Carlo Method Uncertainty Evaluation for Above-Water Ocean Colour Radiometry." Remote Sensing 12, no. 5 (2020): 780. http://dx.doi.org/10.3390/rs12050780.

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We describe a method to evaluate an uncertainly budget for the in situ Ocean Colour Radiometric measurements. A Monte Carlo approach is chosen to propagate the measurement uncertainty inputs through the measurements model. The measurement model is designed to address instrument characteristics and uncertainty associated with them. We present the results for a particular example when the radiometers were fully characterised and then use the same data to show a case when such characterisation is missing. This, depending on the measurement and the wavelength, can increase the uncertainty value si
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Johnson, Steven, and Anja Einseln. "An Uncertain Approach to Measurement Uncertainty." Forensic Science International: Synergy 1 (August 2019): S2. http://dx.doi.org/10.1016/j.fsisyn.2019.06.008.

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Cecinati, Francesca, Antonio Moreno-Ródenas, Miguel Rico-Ramirez, Marie-claire ten Veldhuis, and Jeroen Langeveld. "Considering Rain Gauge Uncertainty Using Kriging for Uncertain Data." Atmosphere 9, no. 11 (2018): 446. http://dx.doi.org/10.3390/atmos9110446.

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In urban hydrological models, rainfall is the main input and one of the main sources of uncertainty. To reach sufficient spatial coverage and resolution, the integration of several rainfall data sources, including rain gauges and weather radars, is often necessary. The uncertainty associated with rain gauge measurements is dependent on rainfall intensity and on the characteristics of the devices. Common spatial interpolation methods do not account for rain gauge uncertainty variability. Kriging for Uncertain Data (KUD) allows the handling of the uncertainty of each rain gauge independently, mo
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Sukirno, Sukirno, Sri Murniasih, Rosidi Rosidi, and Samin Samin. "Evaluasi Ketidakpastian Pengukuran Multi-Unsur Dalam Mineral Zirkon Dengan Metode Analisis Aktivasi Neutron." EKSPLORIUM 36, no. 1 (2015): 45. http://dx.doi.org/10.17146/eksplorium.2015.36.1.2770.

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Evaluasi analisis multi-unsur yang disertai perhitungan ketidakpastian unsur pada mineral zirkon yang berasal dari Sampit, Kalimantan Tengah dan Pulau Bangka telah dilakukan dengan metode Analisis Aktivasi Neutron (AAN). Tujuan penelitian ini adalah menentukan komposisi dan nilai ketidakpastian multi-unsur dalam mineral zirkon untuk memenuhi persyaratan ISO/IEC guide 17025-2008 yang telah diterapkan pada laboratorium AAN. Analisis menggunakan spektrometri gamma dengan detektor HPGe menghasilkan 21 unsur terdeteksi yang dibagi menjadi tiga kelompok (mayor, minor, dan kelumit). Evaluasi ketidakp
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Liu, Wen-Cheng, Wei-Che Huang, and Chih-Chieh Young. "Uncertainty Analysis for Image-Based Streamflow Measurement: The Influence of Ground Control Points." Water 15, no. 1 (2022): 123. http://dx.doi.org/10.3390/w15010123.

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Large-scale particle image velocimetry (LSPIV) provides a cost-effective, rapid, and secure monitoring tool for streamflow measurements. However, surveys of ground control points (GCPs) might affect the camera parameters through the solution of collinearity equations and then impose uncertainty on the measurement results. In this paper, we explore and present an uncertainty analysis for image-based streamflow measurements with the main focus on the ground control points. The study area was Yufeng Creek, which is upstream of the Shimen Reservoir in Northern Taiwan. A monitoring system with dual
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Venteris, E. R., and I. M. Whillans. "Variability of accumulation rate in the catchments of Ice Streams B, C, D and E, Antarctica." Annals of Glaciology 27 (1998): 227–30. http://dx.doi.org/10.3189/1998aog27-1-227-230.

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A model of error and variability in snow arrumulation rate is formulated to determine the reliability of accumulation-rate point measurements as regional and temporal means. The uncertainty model is applied to data from 70 shallow firn cores covering the Ross Sea drainage of the West Antarctic ice sheet. The model includes measurement error, local spatial variation and time variation. Average uncertainly in accumulation rate is 0.016maice equivalent or about 15%. Considering that measurement and depositional uncertainties are independent from core-to-core, an uncertainty of 0.01 m a−1 applies
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Shen, Y., and N. A. Duffie. "An Uncertainty Analysis Method for Coordinate Referencing in Manufacturing Systems." Journal of Engineering for Industry 117, no. 1 (1995): 42–48. http://dx.doi.org/10.1115/1.2803276.

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Accurate and consistent transformations between design and manufacturing coordinate systems are essential for high quality part production. Fixturing and coordinate measurement are common coordinate referencing techniques which are used to locate points or measurement points on workpiece reference surfaces to establish these coordinate transformations. However, uncertainty sources such as geometric form deviations in workpiece surfaces, tolerances on fixture locators, and errors in coordinate measurements exist. A result is that coordinate transformations established using the locating and mea
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Xu, Ning, Jing Fang Guo, and Jin Fang Han. "Measurements and Mathematical Characterization of Uncertain Information." Applied Mechanics and Materials 530-531 (February 2014): 591–96. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.591.

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This paper, the problems of mathematical characteristics and measurements for three kind of uncertainty information are descussed by means of the logical analysis method. Firstly, By virtue of the analysis for the importance of uncertain information research in scientific development, a research chain: uncertainty informationinformation theorycomplexity is presented. Secondly, the mathematical characterization and measurements for three kind of uncertainty information are obtained in terms of the characteristic analysis for uncertain information .
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Clasing, Robert, and Enrique Muñoz. "Estimating the Optimal Velocity Measurement Time in Rivers’ Flow Measurements: An Uncertainty Approach." Water 10, no. 8 (2018): 1010. http://dx.doi.org/10.3390/w10081010.

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The gauging process can be very extensive and time-consuming due to the procedures involved. Since velocity measurement time (VMT) is one of the main variables that would allow gauging times to be reduced, this study seeks to determine the optimal point VMT and, thereby, reduce the overall gauging time. An uncertainty approach based on the USGS area-velocity method and the GLUE methodology applied to eight gauging samples taken in shallow rivers located in South-central Chile was used. The average point velocity was calculated as the average of 1 to 70 randomly selected instant velocity sample
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Dissertations / Theses on the topic "Measurement uncertainy"

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Frazer, Robert Charles. "Measurement uncertainty in gear metrology." Thesis, University of Newcastle Upon Tyne, 2007. http://hdl.handle.net/10443/852.

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Gears play an important role in mechanical power transmission systems. They enable the prime mover characteristic (a gas turbine for example) to be matched to the characteristic of the driven load (say, a slow speed propeller), thus reducing the cost of both manufacturing and operating the system. The customer requirements for higher power density and lower noise demands more accurate gears. This imposes more stringent requirements on the measuring equipment that controls the quality of the manufacturing machines. Many gears have flank form and tooth spacing tolerances that are less then 10μm,
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Kim, Alisa. "Deep Learning for Uncertainty Measurement." Doctoral thesis, Humboldt-Universität zu Berlin, 2021. http://dx.doi.org/10.18452/22161.

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Diese Arbeit konzentriert sich auf die Lösung des Problems der Unsicherheitsmessung und ihrer Auswirkungen auf Geschäftsentscheidungen, wobei zwei Ziele verfolgt werden: Erstens die Entwicklung und Validierung robuster Modelle zur Quantifizierung der Unsicherheit, wobei insbesondere sowohl die etablierten statistischen Modelle als auch neu entwickelte maschinelle Lernwerkzeuge zum Einsatz kommen. Das zweite Ziel dreht sich um die industrielle Anwendung der vorgeschlagenen Modelle. Die Anwendung auf reale Fälle bei der Messung der Volatilität oder bei einer riskanten Entscheidung ist mit einem
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Calkins, Joseph Matthew. "Quantifying Coordinate Uncertainty Fields in Coupled Spatial Measurement systems." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/28472.

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Spatial coordinate measurement systems play an important role in manufacturing and certification processes. There are many types of coordinate measurement systems including electronic theodolite networks, total station systems, video photogrammetry systems, laser tracking systems, laser scanning systems, and coordinate measuring machines. Each of these systems produces coordinate measurements containing some degree of uncertainty. Often, the results from several different types of measurement systems must be combined in order to provide useful measurement results. When these measurements a
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Zhao, Lei. "Bench scale apparatus measurement uncertainty and uncertainty effects on measurement of fire characteristics of material systems." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-050105-182456/.

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Hoa, Phan Le Phuong. "Uncertainty in measurement of piezoresistive sensors /." Dresden : W.e.b.-Univ.-Verl, 2005. http://deposit.ddb.de/cgi-bin/dokserv?id=2660800&prov=M&dok_var=1&dok_ext=htm.

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Binder, Tanja [Verfasser], and Ekaterina [Akademischer Betreuer] Kostina. "Optimization under uncertainty : robust parameter estimation with erroneous measurements and uncertain model coefficients / Tanja Binder. Betreuer: Ekaterina Kostina." Marburg : Philipps-Universität Marburg, 2013. http://d-nb.info/1032315245/34.

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Mihaylov, Blagovest V. "Uncertainty considerations in photovoltaic measurements." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/23251.

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Measurement uncertainty is an indication of the quality of a given measurement and ultimately translates into the confidence with which a decision can be made. In the context of PV, measurement uncertainties propagate into energy yield uncertainty, which in turn culminates into financial risk associated with an investment. This risk increases the cost of a PV installation. The aim of this thesis is to contribute towards the reduction of PV related measurement uncertainties. This is done in two ways. One is via developing and utilising more comprehensive methodologies for uncertainty propagatio
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Abbott, David Scot. "Assessing Student Understanding of Measurement and Uncertainty." NCSU, 2003. http://www.lib.ncsu.edu/theses/available/etd-06172003-143358/.

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A test to assess student understanding of measurement and uncertainty has been developed and administered to more than 500 students at two large research universities. The aim is two-fold: 1) to assess what students learn in the first semester of introductory physics labs and 2) to uncover patterns in student reasoning and practice. The forty minute, eleven item test focuses on direct measurement and student attitudes toward multiple measurements. After one revision cycle using think-aloud interviews, the test was administered to students to three groups: students enrolled in traditional labor
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Hainsworth, G. D. "Measurement uncertainty in water distribution telemetry systems." Thesis, Nottingham Trent University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383304.

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Kim, Alisa [Verfasser]. "Deep Learning for Uncertainty Measurement / Alisa Kim." Berlin : Humboldt-Universität zu Berlin, 2021. http://d-nb.info/1227300824/34.

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Books on the topic "Measurement uncertainy"

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Bromwich, Michael. Income measurement under uncertainty. University of Glasgow, School of Financial Studies, 1988.

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Novellino do Rosario, Pedro Paulo, and Alexandre Mendes. Metrology and Measurement Uncertainty. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82303-9.

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Menin, Boris M. Fundamental constants: Evaluating measurement uncertainty. Cambridge Scholars Publishing, 2019.

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Dieck, Ronald H. Measurement uncertainty: Methods and applications. 2nd ed. Instrument Society of America, 1997.

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Dieck, Ronald H. Measurement uncertainty: Methods and applications. 4th ed. ISA, 2006.

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Hill, D. A. Measurement uncertainty of radiated emissions. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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Fink, Kerstin. Knowledge Potential Measurement and Uncertainty. Deutscher Universitätsverlag, 2004. http://dx.doi.org/10.1007/978-3-322-81240-7.

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Ratcliffe, Colin, and Bridget Ratcliffe. Doubt-Free Uncertainty In Measurement. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12063-8.

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De Bièvre, Paul, and Helmut Günzler, eds. Measurement Uncertainty in Chemical Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05173-3.

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Paul, De Bièvre, and Günzler Helmut, eds. Measurement uncertainty in chemical analysis. Springer, 2003.

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Book chapters on the topic "Measurement uncertainy"

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Stinnett, J., P. A. Santi, and M. T. Swinhoe. "Basics of Uncertainty." In Nondestructive Assay of Nuclear Materials for Safeguards and Security. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-58277-6_25.

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AbstractThis chapter presents an introduction to the basic concept of uncertainty, which is that every result is an instance taken from a distribution of potential measurements. Describing this distribution is an important part of characterizing a result. This is a complex topic and the literature has not always been consistent in the use of specific terms, for example the term ‘error’ and ‘uncertainty’. One approach is the Guide to the Expression of Uncertainty in Measurement (GUM). Random variables and uncertainty models are introduced. The concepts of probabilities, means and standard devia
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Rossi, Giovanni Battista. "Uncertainty." In Measurement and Probability. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8825-0_2.

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Busch, Paul, Pekka Lahti, Juha-Pekka Pellonpää, and Kari Ylinen. "Preparation Uncertainty." In Quantum Measurement. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43389-9_12.

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Busch, Paul, Pekka Lahti, Juha-Pekka Pellonpää, and Kari Ylinen. "Measurement Uncertainty." In Quantum Measurement. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43389-9_13.

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González, Guillermo, Brayan Eduwars Medina, Naiara Ortega, Soraya Plaza, and Gaizka Gómez. "5-Axis Machining Center OMM Uncertainty Estimation." In Proceedings of the XV Ibero-American Congress of Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38563-6_56.

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AbstractNowadays, on-machine tool measurement (OMM) and coordinate measuring machine measurement (CMM) are the most common inspection methods. Although the ex-situ CMM measurements usually offers higher accuracy and reliability, OMM can inspect the workpiece without removing it from the machine tool. Therefore, it is possible to perform both in-process and post-process measurements, avoiding possible unclamping errors. However, due to the non-constant conditions in which machine tools usually operate, it is difficult to guarantee the traceability of measurements over time. For example, thermal
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Bulska, Ewa. "Measurement Uncertainty." In Lecture Notes in Chemistry. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99206-8_8.

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Haitjema, Han. "Measurement Uncertainty." In CIRP Encyclopedia of Production Engineering. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-642-35950-7_6599-3.

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Borys, Michael, Roman Schwartz, Arthur Reichmuth, and Roland Nater. "Measurement Uncertainty." In Fundamentals of Mass Determination. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-11937-8_4.

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Reichenbächer, Manfred, and Jürgen W. Einax. "Measurement Uncertainty." In Challenges in Analytical Quality Assurance. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16595-5_10.

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Williams, Alex. "Measurement Uncertainty." In Quality Assurance in Analytical Chemistry. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09621-5_13.

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Conference papers on the topic "Measurement uncertainy"

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Abdolrazaghi, Mona, Sherif Hassanien, and Steven Bott. "Towards an Effective Corroded Pipelines Integrity Analysis." In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-09510.

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Abstract The focus herein is on comparing integrity probabilistic analysis approaches with a brief discussion on the existing deterministic approaches. The comparison study utilizes real life application of In-Line-Inspection (ILI) and field measurements of corroded onshore pipelines. The study addresses the advantages and disadvantages of each analysis approach emphasizing on the ability to capture measurement uncertainties and learnings from trending data. Such learnings can be addressed by a relative comparison of both ILI and field measurements (i.e. relative uncertainty measurements). In
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Kot, Andrzej, and Agata Nawrocka. "Measurement Uncertainty for Biological Signals." In 2025 26th International Carpathian Control Conference (ICCC). IEEE, 2025. https://doi.org/10.1109/iccc65605.2025.11022854.

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Rauh, Andreas, Sara Ifqir, and Marit Lahme. "A Zonotopic State Estimation Approach for Nonlinear Uncertain Systems with Bounded Uncertainty in the Measurement Time Instants." In 2024 28th International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2024. http://dx.doi.org/10.1109/mmar62187.2024.10680840.

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Witkovsky, V., G. Wimmer, Z. Durisova, S. Duris, and R. Palencar. "Brief overview of methods for measurement uncertainty analysis: GUM uncertainty framework, Monte Carlo method, characteristic function approach." In 2017 11th International Conference on Measurement. IEEE, 2017. http://dx.doi.org/10.23919/measurement.2017.7983530.

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Stecher. "Measurement uncertainty in EMI emission measurements." In Proceedings of International Symposium on Electromagnetic Compatibility. IEEE, 1997. http://dx.doi.org/10.1109/elmagc.1997.617139.

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Jiang, Song, Yan Lin, and Chen Sun. "Adaptive Control for Uncertain Nonlinear Systems with Measurement Uncertainty." In 2021 6th International Conference on Robotics and Automation Engineering (ICRAE). IEEE, 2021. http://dx.doi.org/10.1109/icrae53653.2021.9657768.

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Wimmer, G., and V. Witkovsky. "Demodulation and uncertainty evaluation of quadrature interferometer signals when the errors are autoregressive." In 2017 11th International Conference on Measurement. IEEE, 2017. http://dx.doi.org/10.23919/measurement.2017.7983527.

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Hansen, Clifford W., and Aaron Scheiner. "Uncertainty in Annual Energy Resulting from Uncertain Irradiance Measurements." In 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC). IEEE, 2022. http://dx.doi.org/10.1109/pvsc48317.2022.9938853.

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Hansen, Clifford, and Aaron Scheiner. "Uncertainty in Annual Energy Resulting from Uncertain Irradiance Measurements." In Proposed for presentation at the 49th IEEE Photovoltaic Specialist Conference held June 6-10, 2022 in Philadelphia, PA. US DOE, 2022. http://dx.doi.org/10.2172/2003433.

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Wade, Heather. "Measurement Uncertainty for Chemistry & Microbiology." In NCSL International Workshop & Symposium. NCSL International, 2020. http://dx.doi.org/10.51843/wsproceedings.2020.25.

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Labs making chemical and/or microbiological measurements have long been left out of the measurement uncertainty discussion at major physical metrology conferences. As a result, calculating measurement uncertainty for chemical and microbiological analysis can leave many physical metrologists scratching their heads in wonder. The rules we have learned for calculating electrical or dimensional uncertainties do not transfer as smoothly. The good news is that there are proven methods and guidance how to calculate measurement uncertainty for chemical and microbiological measurements. There is also g
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Reports on the topic "Measurement uncertainy"

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George, Hawley, and Owston. PR-015-09603-R01 LNG Measurement Uncertainty Analysis. Pipeline Research Council International, Inc. (PRCI), 2010. http://dx.doi.org/10.55274/r0010699.

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The U.S. natural gas industry is expected to import increasing amounts of liquefied natural gas (LNG) in the near future. When an LNG tanker ship arrives at an LNG terminal, the quantity of LNG transferred to the terminal is found by measuring the changes in static volume within the ships tanks. The LNG volume is inferred from measurements of the liquid height, along with tables of tank characteristics predetermined by a method known as �tank strapping.� Once transferred, the LNG is then regasified at the terminal before being sent to limited distribution companies (LDCs) or power plants. Ther
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Hansen, Clifford, and Aaron Scheiner. Uncertainty in annual energy resulting from uncertain irradiance measurements. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1959813.

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Smith, Susan, Jake Daughhetee, Gomez Wright, and Daniel Archer. Measurement Plan for Uncertainty Contributions to Cf-252 Waste Measurements. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1908061.

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Haines, Tomar. PR-218-103608-R01 ILI Tool Calibration based on In-ditch Measurement with Related Uncertainty. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010825.

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Keifner and Associates was awarded task 2 and 3 of the project EC-4-2, "ILI Tool Calibration based on In-ditch Measurement with Related Uncertainty". The project comprised of three tasks as follows: Develop a process for either confirming adequacy of vendor claimed random error component, or recalibrating the random error component of ILI measurement uncertainty. Task 1 was completed by ApplusRTD and a report was generated under a separate contract no: PR-366-103606. Develop a process for examining errors, and determine methods to correct for these errors, recognizing that lack of knowledge ab
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Glushko, E. Ya, and A. N. Stepanyuk. New perspectives to improve accuracy of the molar gas constant using pneumatic photonic structures. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2873.

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In this work, a method is proposed to determine the molar constant R with the relative standard uncertainty near 10^-10 that is based on an extra accurate volume controlling and high sensitive pressure measurements in the framework of scale echeloning procedure. An essential moment of the method is uniting of results for two measurement scales with increased relative standard uncertainty (10^-5) to obtain the higher precise level. The gas-filled 1D elastic pneumatic photonic crystal is proposed as an optical indicator of pressure which can unite several pressure scales of magnitude.
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Neudecker, D., V. Pronyaev, and G. Schnabel. Summary Report of the IAEA Consultants’ Meeting on Neutron Data Standards. IAEA Nuclear Data Section, 2022. http://dx.doi.org/10.61092/iaea.spcr-1nha.

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The latest IAEA Neutron data standards were released in January 2018 (nds.iaea.org/standards/). This meeting was organized by the IAEA Nuclear Data Section to review the status of ongoing work for the development of the next version of the Neutron Data Standards. This meeting was conducted virtually during the week of 6-10 December 2021. There were 21 registered participants. Eighteen talks informed about ongoing measurement campaigns, interpretation of past measurements, ongoing evaluation work and developments regarding uncertainty quantification and evaluation methodology. Several new measu
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CIE. CIE 250:2022 Spectroradiometric Measurement of Optical Radiation Sources. International Commission on Illumination, 2022. http://dx.doi.org/10.25039/tr.250.2022.

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This Technical Report provides basic measurement principles and practical guidance on spectroradiometry of optical radiation sources in the ultraviolet, visible and near-infrared regions of the electromagnetic spectrum in the wavelength range from 200 nm to 2 500 nm. The document primarily deals with spectral measurements of irradiance, radiance, radiant intensity, radiant flux and derivative quantities. The document provides a detailed overview of relevant terminology and basic measurement principles, including those for instrument calibration. It provides practical guidance for identifying,
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Hill, D. A. Measurement uncertainty of radiated emissions. National Bureau of Standards, 1997. http://dx.doi.org/10.6028/nist.tn.1389.

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Saarnio, Karri, Mika Vestenius, and Katriina Kyllönen. Attestation of conformity of particulate matter measurements (HIVATO) 2019–2020. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361331.

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The National Reference Laboratory for Air Quality (NRL) ensures the high quality of air quality measurements in Finland by organising audits and intercomparison campaigns. In this project, the conformity of the particulate matter measurements was evaluated with a particular focus on the measurement used for calculating the average exposure index (AEI) of Finland. The representativity and applicability of the AEI measurements made at the Kallio station in Helsinki were evaluated. It was noticed that the results of the Kallio measurement represent well the average fine particle (PM2.5) concentra
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Kyllönen, Katriina, Karri Saarnio, Ulla Makkonen, and Heidi Hellén. Verification of the validity of air quality measurements related to the Directive 2004/107/EC in 2019-2020 (DIRME2019). Finnish Meteorological Institute, 2020. http://dx.doi.org/10.35614/isbn.9789523361256.

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This project summarizes the results from 2000–2020and evaluates the trueness andthequality control (QC) procedures of the ongoing polycyclic aromatic hydrocarbon (PAH)and trace element measurements in Finlandrelating to Air Quality (AQ) Directive 2004/107/EC. The evaluation was focused on benzo(a)pyrene and other PAH compounds as well as arsenic, cadmium and nickel in PM10and deposition. Additionally, it included lead and other metals in PM10and deposition, gaseous mercury and mercury deposition, andbriefly other specificAQ measurements such as volatile organic compounds (VOC)and PM2.5chemical
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