Prediction Model for Annual Variation in Total Pollen by Allergenic Trees in Korean Cities.

ABSTRACT:

Purpose

Pollen forecasting systems can provide information for coping with respiratory allergies. They estimate daily pollen production, dispersal, deposition, and removal based on daily weather conditions to predict daily pollen concentrations and provide allergy warnings. As of 2023, the Korea Meteorological Administration (KMA) provides 2-day forecast of allergenic pollens. However, unlike these models, long-term analysis of annual observations of tree pollen reveal annual variations. Therefore, in this study, we aimed to develop annual prediction models for allergenic tree pollens based on long-term multi-site pollen and meteorological data.

Methods

Daily pollen concentrations were observed using Hirst-type volumetric spore traps at nine sites in Korea from 1998 to 2021,

SUBMITTER: Kim KR 

PROVIDER: S-EPMC10823140 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature