Assessment of environmental risk areas based on airborne pollen patterns as a response to land use and land cover distribution

花粉 土地覆盖 空气生物学 土地利用 地理 树状图 分布(数学) 空气质量指数 层次聚类 自然地理学 环境科学 地图学 聚类分析 生态学 生物 环境卫生 人口 气象学 机器学习 计算机科学 数学 遗传多样性 数学分析 医学
作者
Jesús Rojo,Patricia Cervigón Morales,Zuzana Ferencová,Ángel Cascón,Javier Galán Díaz,Jorge Romero-Morte,Silvia Sabariego Ruiz,Margarita Torres,Montserrat Gutiérrez Bustillo
出处
期刊:Environmental Pollution [Elsevier BV]
卷期号:344: 123385-123385 被引量:6
标识
DOI:10.1016/j.envpol.2024.123385
摘要

Allergic respiratory diseases are considered to be among the most important public health concerns, and pollen is the main cause of allergic respiratory diseases worldwide. However, the biological component of air quality is largely underestimated, and there is an important gap in the legislation in this area. The aims of this study were to characterise the occurrence and incidence of pollen exposure in relation to potential pollen sources and to delineate the main areas of aerobiological risk in the Madrid Autonomous Region based on homogeneous patterns of pollen exposure. This study uses the historical aerobiological database of the Madrid Region Palynological Network (central Spain) from ten pollen stations from 1994 to 2022, and the land-use information from the Corine Land Cover. Multiple clustering approaches were followed to group the sampling stations and subsequently all the 1 × 1km pixels for the Madrid Autonomous Region. The clustering dendrogram for land-use distribution was compared to the dendrogram for historical airborne pollen data. The two dendrograms showed a good alignment with a very high correlation (0.95) and very low entanglement (0.15), which indicates a close correspondence between the distribution of the potential pollen sources and the airborne pollen dynamics. Based on this knowledge, the Madrid Autonomous Region was divided into six aerobiological risk areas following a clear anthropogenic gradient in terms of the potential pollen sources that determine pollen exposure in the Madrid Region. Spatial regionalisation is a common practice in environmental risk assessment to improve the application of management plans and optimise the air quality monitoring networks. The risk areas proposed by scientific criteria in the Madrid Autonomous Region can be adjusted to other operational criteria following a framework equivalent to other air quality networks.

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