Identification of the Contamination Source by Factor Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F19%3AN0000164" target="_blank" >RIV/00020699:_____/19:N0000164 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Identification of the Contamination Source by Factor Analysis
Original language description
Positive Matrix Factorization (PMF, used version 5.0.13) is a model developed by US Environmental Protection Agency specialists. It is used to search for potential air pollution sources and to determine the contribution of these factors to pollution. Sampling of particulate matter (PM) in the air is performed by regulated sampling of ambient air on filter. After air sampling, the filters are stabilized under standard conditions (19-21 °C, 45-50 % RH) in the AWS-1 automatic weighing box where weighing the filters is performed and then the atmospheric concentration of aerosol particles is determined. After gravimetric analysis, the filters are mineralized and the solution is measured by ICP-MS. The AWS-1 system contains a chiller that secures the conditions for measuring in the weighing box. In July 2017, a chiller malfunction occurred and the humidity increased to more than 90% inside the weighing box. At the time of malfunction, the box was almost completely filled with filters (over 300 filters), most of the filters were already exposed. Due to the high humidity and probably the interaction with the filters or the material deposited on them, the metal layer on the storage disks was disrupted in the places where the filters were laid. This has caused significant nickel contamination detected on ICP-MS analysis. Besides to apparent contamination by nickel, contamination of two other commonly used metals (copper and chromium) has been discovered by using PMF. For the other standard-measured metals, the contamination was determined below 5%, which corresponds to the selected model uncertainty.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů