Based on the ambient air quality monitoring data of 7 cities in Tibet from 2017 to 2023, the spatial and temporal distribution characteristics of PM₁₀ and PM_2.5 in ambient air in Tibet were analyzed by correlation analysis and GIS Kriging interpolation. The results showed that in Tibet region, the days with PM₁₀ and PM_2.5 as the primary pollutants were characterized by good ambient air quality, mainly concentrated in January–March and October–December. The variation trend of PM₁₀ and PM_2.5 concentration was consistent. The average annual concentration in the whole region reached the first-level standard and showed a downward trend, and the seasonal average concentration showed the characteristics of winter>spring>autumn>summer. The average monthly concentration began to decrease from May, reaching the lowest in August and the highest in December. The hourly concentration showed bimodal characteristics, and the peak appeared from 09:00 to 12:00 in the morning and from 21:00 to 01:00 in the next day. The concentrations of PM₁₀ and PM_2.5 in Nyingchi City in southeastern Tibet were significantly lower than those in other cities, while the concentrations of PM₁₀ and PM_2.5 in Nagqu City in northern Tibet were significantly higher than those in other cities. According to the analysis of Sugimoto model, in the exceedance days with particulate matter as the primary pollutant, dust weather had a particularly significant impact on the concentration of PM₁₀ in the atmospheric environment of Tibet, the average content of dust components in PM₁₀ was 87.9%. 

利用2017—2023年西藏7个市(区)的环境空气质量监测数据, 结合相关性分析和GIS普通克里金法, 对西藏地区环境空气中PM₁₀和 PM_2.5的时空分布特征进行分析。结果表明: 1) 在全区以PM₁₀和PM_2.5为首要污染物的时段, 当地环境空气质量以良为主, 集中在1—3月和10—12月; 2) PM₁₀与PM_2.5浓度的时间变化趋势较为一致, 全区年均浓度达到一级标准, 且总体上呈下降趋势; 季均浓度呈现冬季>春季>秋季>夏季的特点; 月均浓度从5月开始下降, 8月最低, 12月最高, 小时浓度整体上呈现双峰特征, 峰值分别出现在上午09:00—12:00和21:00至次日01:00; 3) 藏东南城市林芝市的PM₁₀和PM_2.5浓度明显低于其他市(区), 藏北城市那曲的PM₁₀和 PM_2.5浓度明显高于其他市(区); 4) Sugimoto比值模型分析表明, 在以颗粒物为首要污染物的超标天次中, 沙尘对西藏大气环境中 PM₁₀浓度的影响尤为显著, PM₁₀中沙尘组分平均含量为87.9%。