Predicting Cedar Pollen Dispersion using Data from Neighboring Areas: The Case of the Cities of Fukushima and Nihonmatsu

View Full Paper

Ask AI

Bookmark

Share

Key Points

The aim is to predict cedar pollen dispersion in Fukushima using weather data from Nihonmatsu.
Utilized historical weather data from Nihonmatsu to forecast cedar pollen dispersion in Fukushima.
Based predictions on effective cumulative temperature calculated from baseline temperature of 0°C and starting date of January 21.
Incorporated total pollen counts from previous years and key meteorological factors such as average temperature, sunshine hours, and precipitation.
Predicted cedar pollen dispersion start date and total count effectively using neighboring area data.
Forecast accuracy indicates potential benefits for managing cedar pollen allergies in cities with high prevalence.

Answers are grounded in this paper and cite their sources.

Study predicts cedar pollen dispersion in Fukushima from neighboring Nihonmatsu data, suggesting effective forecasting methods.

No abstract yet. The journal hasn't published one we can show.

No takes yet. Share an insight, caveat, or question.

Murono et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

Share