This paper reviews the research based on airborne pollen monitoring data and finds out the followings.1) a pollen profile can be obtained by using the data and then a pollen calendar with clinical value can be drawn,in which the concentration threshold should be modified based on the characteristics of allergic populations.Besides,it's confirmed that clean air is essential for preventing hay fever through analyzing the exposure risks in different environments.2) the local observation environment and the placement position of the sampler have a great influence on the monitoring results,but overall,the pollen season has been prolonged and the pollen concentration has increased in most regions of the north hemisphere,which can be attributed to climate warming.3) in order to predict the future changes of airborne pollen,four types of models are widely used and the prediction results are generally accurate.For the parts with poor prediction effect (extreme pollen concentration,complex terrain,etc.),the optimal solution is to combine high-resolution pollen monitoring data for correction.4) however,due to the lack of low-cost automatic monitoring equipment,the current resolution of pollen monitoring data is still low,which brings a series of data and technical barriers.Therefore,this paper believes that the development of low-cost automatic monitoring equipment should be the focus of recent development in this field,and that a standardized observation system should be established accordingly.

airborne pollen  /  hay favor  /  pollen monitoring  /  pollen predicting