We developed geospatial models to forecast the concentration of air pollutants in different land uses over two seasons as cold (December, 2017) and warm (September, 2018) in Bushehr city. The samples were taken during three repetitions in three consecutive weeks encompassing SO₂, CO, and NO₂ focus specimens at 10 sites in four zones (traffic, industrial, residential, and recreational) over two seasons as cold (December, 2017) and warm (September, 2018). The SO₂, CO and NO₂ contributions were gathered by NIOSH guidelines samplers and dissected by analyzers models AF22M, CO12M, and AC32M, respectively. Multivariate analysis results show clusters in land use and sampling period in two main groups: (I) traffic and (II) industrial, residential, and recreational, in the warm and cold season. The result of our research shows that the traffic factor still contributes SO₂, CO, and NO₂ emissions in the warm season. The spatial variation of air quality index (AQI) of all sample sites was measured in the warm and cold seasons, and the value of this index was higher in traffic areas of the city (entrance and central area) than in another land.

我们开发了地理空间模型，以预测布什尔市在两个季节（寒冷（2017年12月）和温暖（2018年9月））两个季节内不同土地利用中的空气污染物浓度。在连续两个季节中，在寒冷（2017年12月）和温暖两个季节的四个区域（交通，工业，住宅和娱乐场所）的10个地点的10个地点采样了SO ₂，CO和NO ₂重点样品，并连续三周进行了采样。（2018年9月）。SO ₂，CO和NO ₂贡献由NIOSH指南采样器收集，并分别由AF22M，CO12M和AC32M分析仪进行剖析。多变量分析结果显示，在温暖和寒冷的季节，土地利用和采样期的集群主要分为两个组：（I）交通和（II）工业，住宅和娱乐。我们的研究结果表明，交通因子仍在温暖季节贡献了SO ₂，CO和NO ₂排放。在温暖和寒冷的季节测量了所有采样点的空气质量指数（AQI）的空间变化，并且该指数的值在城市的交通区域（入口和中部地区）高于其他土地。