以实际ATP炉下的住宅区受污染实际地形威力,针对住宅区域附近的绿植排布进行大涡模拟,参数化表征住宅与绿植,对绿植位置在住宅区内的排布进行中尺度的大气污染分析。与CODASC在数值统计结果上表现出更好的一致性结果。通过计算区域内的瞬时浓度、积分浓度、时间尺度浓度变化等,精细化溯源定量耦合绿植位置与大气污染排放的定量关系,结合迎风侧、被风侧以及重点关注的行人活动高度区域提供种植建议,不合理的种植会引发积分浓度高于合理种植的251%,同时保留时间与种树位置的拟合高达0.883,综合来看不推荐楼房前侧即污染上游种树,同时也需要综合实际考虑,指导并提供厂区内种植方案。Based on the actual polluted terrain conditions of residential areas located beneath the ATP furnace, large eddy simulations were conducted to analyze the arrangement of green vegetation near these residential zones. Residences and vegetation were parameterized for representation, and mesoscale atmospheric pollution analysis was performed on the spatial distribution of vegetation within the residential area. The results demonstrated better consistency with CODASC in numerical statistical outcomes. By calculating instantaneous concentrations, integrated concentrations, and temporal concentration variations within the region, the study finely traced and quantitatively coupled the relationship between vegetation placement and atmospheric pollution emissions. Planting recommendations were provided by considering windward sides, leeward sides, and key pedestrian activity height zones. Irrational planting could lead to integrated concentrations exceeding those of rational planting by 251%, and the correlation between retention time and tree planting positions reached up to 0.883. Overall, it is not recommended to plant trees on the front side of buildings—namely, the upstream side of pollution sources. Comprehensive practical considerations a
