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HighlightsSeasonal leaf shedding is a key factor affecting the airflow field and shelter efficiency of deciduous windbreaks.The wind deceleration region around modeled Elaeagnus angustifolia L. (Russian olive) windbreaks was larger in winter than in summer, but the intensity of the wind speed reduction was relatively low.The shelter efficiency of E. angustifolia windbreaks in winter was not less than 80% of that in summer.Abstract. The shelter efficiency of windbreaks constructed with deciduous plants changes with their phenological stage. We used Elaeagnus angustifolia L. (Russian olive) as an example and investigated the airflow field and shelter efficiency of deciduous windbreaks with summer facies (with leaves) and winter facies (without leaves) by means of scaled wind tunnel simulation experiments. Our study revealed that different canopy seasonal porosities exert different wind speed reductions inside the windbreaks, which also determine the upwind and downwind wind speed variation. The variation in wind speed was greater in summer than in winter. For the windbreak with summer facies, a large wind acceleration region above and before the windbreak and a strong wind deceleration region inside and after the windbreak were observed. The wind deceleration region around the windbreak with winter facies was larger than that in summer, but the intensity of the wind speed reduction was relatively low. The results of our study further show that although E. angustifolia windbreaks are highly porous in winter, the shelter efficiency was not less than 80% of that in summer. Like any wind tunnel study on windbreaks, producing an artificial plant model that is highly similar to the real field plant is difficult. Nevertheless, our results clearly revealed the wind reduction patterns of deciduous windbreaks due to seasonal porosity caused by leaf shedding, which may provide valuable data for assessing the shelter efficiency of deciduous windbreaks. Keywords: Airflow field, Elaeagnus angustifolia, Seasonal porosity, Wind reduction.

The research findings of brain science have been widely used in various fields. The in-depth study of brain science can help to develop brain potential and creativity efficiently, thus effectively improving the quality of teaching. In order to optimize mathematics teaching, this paper conducts the research on brain science-based mathematics education and teaching design. Through the theoretical analysis of brain science and the analysis for complex relationships in the process of mathematics teaching, combined with the characteristics of mathematics, this paper discusses the relationship between symbolic mathematics, situational mathematics and linguistic mathematics and its application in mathematics education, and also explores the mathematics teaching design and implementation based on brain science. The research results of this paper shall provide scientific theoretical support for creating a suitable mathematics teaching environment, and further promote the scientific and efficient development of mathematics teaching.