Transport pathway and source area for Artemisia pollen in Beijing, China

An analysis of meteorological and environmental factors linked to Thunderstorm Asthma in China

BACKGROUND

Thunderstorm Asthma (TA) events are observed worldwide, but the precise triggering mechanisms remain elusive.

OBJECTIVE

This study aims to outline the environmental patterns associated with TA events in China.

METHODS

Environmental data was collected from Chinese cities that have experienced TA events, focusing on meteorological conditions in the seven days preceding the thunderstorms. This allowed for the identification of common environmental precursors to TA.

RESULTS

In China, TA events are primarily concentrated in the northwest plateau region. These locations have a temperate continental monsoon climate with infrequent rainfall, leading to a generally arid environment. The four cities that have reported TA incidents are situated predominantly in the vicinity of desert areas. The extensive cultivation of Artemisia arenaria exists in these areas, which are primarily used for windbreaks and sand stabilization. In early September, prior to the occurrence of thunderstorms, these cities typically experience higher temperatures, gentle breezes, and minimal rainfall. Under such environmental conditions, the concentration of Artemisia pollen in the urban areas is extremely high. Upon the arrival of thunderstorms, these allergens can trigger widespread asthma outbreaks among individuals sensitized to them.

CONCLUSION

The cities in China that experience TA events are primarily situated in the vicinity of deserts located on the plateau. Prior to the occurrence of TA, these cities are exposed to an environment characterized by elevated temperatures, gentle breezes, minimal rainfall, and exceptionally high concentrations of Artemisia pollen.

Identifying influence factors and thresholds of the next day's pollen concentration in different seasons using interpretable machine learning

The prevalence of pollen allergies is a pressing global issue, with projections suggesting that half of the world's population will be affected by 2050 according to the estimation of the World Health Organization (WHO). Accurately forecasting pollen allergy risks requires identifying key factors and their thresholds for aerosol pollen. To address this, we developed a technical framework combining advanced machine learning and SHapley Additive exPlanations (SHAP) technology, focusing on Beijing. By analyzing meteorological data and vegetation phenology, we identified the factors influencing next-day's pollen concentration (NDP) in Beijing and their thresholds. Our results highlight vegetation phenology data from Synthetic Aperture Radar (SAR), temperature, wind speed, and atmospheric pressure as crucial factors in spring. In contrast, the Normalized Difference Vegetation Index (NDVI), air temperature, and wind speed are significant in autumn. Leveraging SHAP technology, we established season-specific thresholds for these factors. Our study not only confirms previous research but also unveils seasonal variations in the relationship between radar-derived vegetation phenology data and NDP. Additionally, we observe seasonal fluctuations in the influence patterns and threshold values of daily air temperatures on NDP. These insights are pivotal for improving pollen concentration prediction accuracy and managing allergic risks effectively.

Sensitization characteristics in allergic rhinitis and transport pathway for Artemisia pollen in northern Beijing, China

The genus Artemisia, an important allergen related to Allergic Rhinitis (AR), is widespread in temperate regions. However, the sensitization rate of Artemisia pollen varies significantly, and the source of Artemisia pollen is not clear. Based on continuous daily airborne pollen monitoring in the summer and autumn of 2019 and 2020 in northern Beijing, the daily number of AR patient visits during the same period, and the detection of allergen serum-specific immunoglobulin E (sIgE) in some AR patients, this study discusses the sensitization rate of Artemisia pollen and its transmission pathway and possible source area. The results show that (1) Artemisia pollen is the most important airborne pollen in summer and autumn in northern Beijing, and the pollen concentration is significantly related to the daily number of AR patient visits; (2) the rate of AR patients testing positive for Artemisia pollen allergens is 32.35 %, which is the first risk allergen and is consistent with the high sensitization rate of Artemisia pollen in northern China; and (3) in addition to local sources, central and southern Inner Mongolia, southern Mongolia and northwestern China are potential source areas of Artemisia pollen within the study area. This study provides first-hand data for accurately understanding the allergenic characteristics and sources of Artemisia pollen in northern Beijing and provides a scientific basis for the prevention of AR induced by Artemisia pollen in patients in China.

Climate change, airborne allergens, and three translational mitigation approaches

One of the important adverse impacts of climate change on human health is increases in allergic respiratory diseases such as allergic rhinitis and asthma. This impact is via the effects of increases in atmospheric carbon dioxide concentration and air temperature on sources of airborne allergens such as pollen and fungal spores. This review describes these effects and then explores three translational mitigation approaches that may lead to improved health outcomes, with recent examples and developments highlighted. Impacts have already been observed on the seasonality, production and atmospheric concentration, allergenicity, and geographic distribution of airborne allergens, and these are projected to continue into the future. A technological revolution is underway that has the potential to advance patient management by better avoiding associated increased exposures, including automated real-time airborne allergen monitoring, airborne allergen forecasting and modelling, and smartphone apps for mitigating the health impacts of airborne allergens.

Potential contribution of distant sources to airborne Betula pollen levels in Northeastern Iberian Peninsula

Betula (birch) pollen is one of the most important causes of respiratory allergy in Northern and Central Europe. While birch trees are abundant in Central, Northern, and Eastern Europe, they are scarce in the Mediterranean territories, especially in the Iberian Peninsula (IP), where they grow only in the northern regions and as ornamental trees in urban areas. However, the airborne birch pollen patterns in Catalonia (Northeastern IP) show abrupt high concentrations in areas with usually low local influence. The intensity of the derived health problems can be increased by outbreaks due to long-range pollen transport. The present work evaluates the different potential contributions to Catalonia from the main source regions: Pyrenees, Cantabria, and the forests of France and Central Europe. To this end, we computed the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) back trajectories of air masses associated with the main Betula pollen peaks occurring simultaneously over different Catalan monitoring stations, and we studied their provenance over a 15-year period. The Vielha aerobiological station on the northern slopes of the Central Pyrenees was used to identify the dates of the pollen season in the Pyrenean region. In order to better understand the role of the Pyrenees, which is the nearest of the four birch forested regions, we classified the pollen peaks in the other Catalan stations into three groups based on the relationship between the peak and the pollen season in the Pyrenees. Our analysis of back-trajectory residence time, combined with the associated pollen concentration, reveals that two principal routes other than the Pyrenean forest sustain the northerly fluxes that enter Catalonia and carry significant concentrations of Betula pollen. This study has also allowed quantifying the differentiated contributions of the potential source regions. In addition, the Weather Research Forecast (WRF) mesoscale model has been used to study three specific episodes. Both models, HYSPLIT and WRF, complement each other and have allowed for better understanding of the main mechanisms governing the entry of birch pollen to the region.

Pollution Characteristics, Transport Pathways, and Potential Source Regions of PM2.5 and PM10 in Changchun City in 2018

Air pollution has attracted increasing attention in recent years. Cluster analysis, scene analysis, and the potential source contribution function (PSCF), based on the backward trajectory model, were used to identify the transport pathways and potential source regions of PM_2.5 and PM₁₀ (particulate matter with an aerodynamic diameter of not more than 2.5 µm and 10 µm) in Changchun in 2018. In addition, the PSCF was slightly improved. The highest average monthly concentrations of PM_2.5 and PM₁₀ appeared in March and April, when they reached 53.9μg/m³ and 120.0 μg/m³, respectively. The main potential source regions of PM_2.5 and PM₁₀ were generally similar: western Jilin Province, northwestern Inner Mongolia, northeastern Liaoning Province, and the Yellow Sea region. The secondary potential source regions were southern Russia, central Mongolia, western Shandong Province, eastern Hebei Province, and eastern Jiangsu Province. The northwest and southwest directions were found to be the two pathways that mainly affect the air quality of Changchun City. Moreover, the northwestern pathway had a larger potential contribution source area than the southwestern pathway. The airflow in the southwest direction came from Liaoning Province, Shandong Province, and the Yellow Sea region. This mainly occurred in summer; its transmission distance was short; it had a relatively higher weight potential source contribution function (WPSCF) value; it can be regarded as a local source; and its representative pollutants were SO₂ (sulfur dioxide), CO (carbon monoxide), and O₃ (ozone). The northwestern pathway passed through Russia, Mongolia, and Inner Mongolia. The transmission distance of this pathway was longer; it had a relatively lower WPSCF value; it can be considered as a natural source to a certain extent; it mainly occurred in autumn and, especially, in winter; and the representative pollutants of this pathway were NO (nitric oxide), NOx (nitrogen oxide), PM_2.5, and PM₁₀.

Atmospheric exposure to the major Artemisia pollen allergen (Art v 1): Seasonality, impact of weather, and clinical implications

Artemisia pollen grains are important aeroallergens worldwide. The amount of allergenic proteins produced by pollen, or pollen allergenicity, is regulated by both genes and the environment. As a result, even closely related plant taxa may release pollen with distinctly different allergen contents. Here, we determined the variability in atmospheric exposure to the major Artemisia pollen allergen, Art v 1, during the pollination seasons of two common species, i.e., A. vulgaris (early flowering species) and A. campestris (late flowering species), in Poznań, Poland (2013-2015). Artemisia pollen grains were collected using Hirst-type volumetric trap, while Art v 1 was collected by a two-stage cascade impactor (PM₁₀ and PM_>10 air fractions) and quantified by immunoenzymatic analysis. The results showed that daily Art v 1 levels correlated significantly with mean daily concentrations of Artemisia pollen (from r = 0.426 to r = 0.949, depending on air fraction and peak of the season). Significant differences were observed between 1) the median pollen allergenicity in different seasons (from 2.5 to 4.7 pg Art v 1/pollen) and 2) the median pollen allergenicity in different peak periods of the season (from 1.8 to 6.7 pg Art v 1/pollen). During the late peak (flowering of A. campestris), the median pollen allergenicity was significantly higher (on average by 63%, p < 0.05) than that during A. vulgaris flowering. The highest mean seasonal pollen allergenicity was observed during the wettest season, while the lowest was observed during the driest season (from July-August). In summary, our study showed distinct differences in Artemisia pollen allergenicity, that were not only related to daily and seasonal variability, which may exceed 800% and 80%, respectively but also noticeable when two common Artemisia species were compared. Therefore, we argue that variability in pollen allergenicity (both seasonal and species-specific) should be considered in future studies assessing pollen exposure.