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Scientific data · 2024

Atmospheric new particle formation identifier using longitudinal global particle number size distribution data.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
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Kecorius Simonas, Madueño Leizel, Lovric Mario, Racic Nikolina, Schwarz Maximilian, Cyrys Josef, Casquero-Vera Juan Andrés, Alados-Arboledas Lucas, Conil Sébastien, Sciare Jean, Ondracek Jakub, Hallar Anna Gannet, Gómez-Moreno Francisco J, Ellul Raymond, Kristensson Adam, Sorribas Mar, Kalivitis Nikolaos, Mihalopoulos Nikolaos, Peters Annette, Gini Maria, Eleftheriadis Konstantinos, Vratolis Stergios, Jeongeun Kim, Birmili Wolfram, Bergmans Benjamin, Nikolova Nina, Dinoi Adelaide, Contini Daniele, Marinoni Angela, Alastuey Andres, Petäjä Tuukka, Rodriguez Sergio, Picard David, Brem Benjamin, Priestman Max, Green David C, Beddows David C S, Harrison Roy M, O'Dowd Colin, Ceburnis Darius, Hyvärinen Antti, Henzing Bas, Crumeyrolle Suzanne, Putaud Jean-Philippe, Laj Paolo, Weinhold Kay, Plauškaitė Kristina, Byčenkienė Steigvilė

Аннотация

Atmospheric new particle formation (NPF) is a naturally occurring phenomenon, during which high concentrations of sub-10 nm particles are created through gas to particle conversion. The NPF is observed in multiple environments around the world. Although it has observable influence onto annual total and ultrafine particle number concentrations (PNC and UFP, respectively), only limited epidemiological studies have investigated whether these particles are associated with adverse health effects. One plausible reason for this limitation may be related to the absence of NPF identifiers available in UFP and PNC data sets. Until recently, the regional NPF events were usually identified manually from particle number size distribution contour plots. Identification of NPF across multi-annual and multiple station data sets remained a tedious task. In this work, we introduce a regional NPF identifier, created using an automated, machine learning based algorithm. The regional NPF event tag was created for 65 measurement sites globally, covering the period from 1996 to 2023. The discussed data set can be used in future studies related to regional NPF.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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