We identified two climatological parameters that are key to modeling the behavior of tropospheric ozone (O₃) produced in the urban area of a heavily polluted city in the Colombian Andes. These parameters are the relative humidity (RH) and total radiation intensity (I). In topographically constrained areas, the production of tropospheric O₃, as a by-product during photo-oxidation of carbon monoxide (CO) and nitrogen oxides (NO and NO₂) has received much attention over the last decades. Models used to describe O₃ dynamics are based on computationally demanding techniques that require lots of input data, however. This study proposes a simple approach for describing O₃. To that end, it evaluates fifteen empirical models based on the combination of four linear regressions: O₃ against RH, temperature (T), wind speed (U), and I. Each model is driven by the analyzed climatological parameters over the period from 2012 to 2018 and further run using either daily or monthly averaged data. The best fitting model for monthly averaged data outperformed that for daily averaged data in both mathematical simplicity and accuracy; however, the differences between these models remained <0.4 percent. The results suggest that the O₃ produced increases with I and decreases with RH.

我们确定了两个气候参数，它们对于模拟哥伦比亚安第斯山脉严重污染城市的市区产生的对流层臭氧 (O ₃ )行为至关重要。这些参数是相对湿度 (RH) 和总辐射强度 (I)。在地形受限的地区，作为一氧化碳 (CO) 和氮氧化物（NO 和 NO ₂）光氧化过程中的副产品，对流层 O ₃的产生在过去几十年中受到了很多关注。然而，用于描述 O ₃动力学的模型基于需要大量输入数据的计算要求高的技术。本研究提出了一种简单的方法来描述 O ₃. 为此，它基于四个线性回归的组合评估了 15 个经验模型：O _{3 相}对于 RH、温度 (T)、风速 (U) 和 I。每个模型都由分析的气候参数驱动2012 年至 2018 年，并使用每日或每月平均数据进一步运行。月平均数据的最佳拟合模型在数学简单性和准确性方面均优于日平均数据；然而，这些模型之间的差异仍然小于 0.4%。结果表明，产生的O ₃随I 增加而随RH 减少。