Fine-Scale Exposure to Allergenic Pollen in the Urban Environment: Evaluation of Land Use Regression Approach.

ABSTRACT:

Background

Despite the recent developments in physically and chemically based analysis of atmospheric particles, no models exist for resolving the spatial variability of pollen concentration at urban scale.

Objectives

We developed a land use regression (LUR) approach for predicting spatial fine-scale allergenic pollen concentrations in the Helsinki metropolitan area, Finland, and evaluated the performance of the models against available empirical data.

Methods

We used grass pollen data monitored at 16 sites in an urban area during the peak pollen season and geospatial environmental data. The main statistical method was generalized linear model (GLM).

Results

GLM-based LURs explained 79% of the spatial variation in the grass pollen data based on all samples, and

SUBMITTER: Hjort J 

PROVIDER: S-EPMC4858385 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature