Automated identification and quantification of tire wear particles (TWP) in airborne dust: SEM/EDX single particle analysis coupled to a machine learning classifier

The share of non-exhaust particles, including tire wear particles (TWP), within the airborne dust and particularly within PM10 has increased in recent years due to a significant reduction of other particles including exhaust road traffic emissions. However, the quantification of TWP is a demanding t...

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Veröffentlicht in:	The Science of the total environment 2022-01, Vol.803, p.149832-149832, Article 149832
Hauptverfasser:	Rausch, Juanita, Jaramillo-Vogel, David, Perseguers, Sébastien, Schnidrig, Nicolas, Grobéty, Bernard, Yajan, Phattadon
Format:	Artikel
Sprache:	eng
Schlagworte:	Automated classification Coarse mode Machine learning Micro-rubber Non-exhaust particles SEM/EDX single particle analysis Tire wear
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