Pāriet uz galveno navigāciju Pāriet uz meklēšanu Pāriet uz galveno saturu

Automatic detection of airborne pollen: an overview

  • Jeroen Buters
  • , Bernard Clot
  • , Carmen Galán
  • , Regula Gehrig
  • , Stefan Gilge
  • , François Hentges
  • , David O’Connor
  • , Branko Sikoparija
  • , Carsten Skjoth
  • , Fiona Tummon*
  • , Beverley Adams-Groom
  • , Célia M. Antunes
  • , Nicolas Bruffaerts
  • , Sevcan Çelenk
  • , Benoit Crouzy
  • , Géraldine Guillaud
  • , Lenka Hajkova
  • , Andreja Kofol Seliger
  • , Gilles Oliver
  • , Helena Ribeiro
  • Victoria Rodinkova, Annika Saarto, Ingrida Sauliene, Olga Sozinova, Barbara Stjepanovic
*Šī darba korespondējošais autors
  • Technical University of Munich
  • Federal Office of Meteorology and Climatology MeteoSwiss
  • University of Granada
  • Deutscher Wetterdienst
  • Center Hospitalier de Luxembourg
  • Dublin City University
  • University of Novi Sad
  • University of Worcester
  • University of Évora
  • Mycology and Aerobiology
  • Uludag University
  • ATMO Auvergne-Rhône-Alpes
  • Czech Hydrometeorological Institute
  • National Laboratory of Health
  • Réseau National de Surveillance Aérobiologique
  • University of Porto
  • National Pirogov Memorial Medical University, Vinnytsya
  • University of Turku
  • Vilnius University
  • University of Zagreb

Zinātniskās darbības rezultāts: Devums žurnālam › Zinātniskais raksts (žurnālā) › koleģiāli recenzēts

75 Atsauces (Scopus)

Kopsavilkums

Pollen monitoring has traditionally been carried out using manual methods first developed in the early 1950s. Although this technique has been recently standardised, it suffers from several drawbacks, notably data usually only being available with a delay of 3–9 days and usually delivered at a daily resolution. Several automatic instruments have come on to the market over the past few years, with more new devices also under development. This paper provides a comprehensive overview of all available and developing automatic instruments, how they measure, how they identify airborne pollen, what impacts measurement quality, as well as what potential there is for further advancement in the field of bioaerosol monitoring.

OriģinālvalodaAngļu
Lapas (no-līdz)13-37
Lapu skaits25
ŽurnālsAerobiologia
Sējums40
Izdevuma numurs1
Publikācijas statussPublicēts - marts 2024

OECD Zinātnes nozare

  • 1.6 Bioloģija

Nospiedums

Uzziniet vairāk par pētniecības tēmām “Automatic detection of airborne pollen: an overview”. Kopā tie veido unikālu nospiedumu.

Citēt šo