Abstract Urban trees provide a range of ecosystem services, including air purification. This specific ecosystem service can be quantified using i-Tree Eco software, but the software has some limitations. One limitation is that the pollution model used in the software cannot take into account spatial differences in pollutant concentrations, which occur in every city due to the diversity of polluters. This study aimed to investigate to what extent this limitation of the i-Tree Eco pollution model can influence the results obtained. The study was conducted in such a way that the i-Tree Eco project was broken down into four sub-projects, in which data on the concentration of selected pollutants from different air quality monitoring stations were analyzed using the coefficient of variation (CV). Three stations were designated as "urban background" type stations and one was a "traffic" type station. The study revealed relatively low variation (0.05

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评估 i-Tree Eco 污染模型对不同污染数据输入的敏感性：来自波兰华沙的案例研究

摘要 城市树木提供一系列生态系统服务，包括空气净化。这种特定的生态系统服务可以使用 i-Tree Eco 软件进行量化，但该软件有一些局限性。一个限制是软件中使用的污染模型无法考虑污染物浓度的空间差异，由于污染者的多样性，每个城市都会发生这种情况。本研究旨在调查 i-Tree Eco 污染模型的这种限制会在多大程度上影响所获得的结果。该研究的进行方式是将 i-Tree Eco 项目分解为四个子项目，其中使用变异系数 (CV) 分析来自不同空气质量监测站的选定污染物浓度数据。三个车站被指定为“